@article{MTMT:34921484, title = {TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance}, url = {https://m2.mtmt.hu/api/publication/34921484}, author = {Chen, Yuqian and Zekelman, Leo R. and Zhang, Chaoyi and Xue, Tengfei and Song, Yang and Makris, Nikos and Rathi, Yogesh and Golby, Alexandra J. and Cai, Weidong and Zhang, Fan and O'Donnell, Lauren J.}, doi = {10.1016/j.media.2024.103120}, journal-iso = {MED IMAGE ANAL}, journal = {MEDICAL IMAGE ANALYSIS}, volume = {94}, unique-id = {34921484}, issn = {1361-8415}, keywords = {point cloud; Deep learning; white matter tract; dMRI tractography; Language neuropsychological assessments; Region localization}, year = {2024}, eissn = {1361-8423}, orcid-numbers = {Cai, Weidong/0000-0003-3706-8896} } @article{MTMT:34921483, title = {Subcallosal cingulate deep brain stimulation evokes two distinct cortical responses via differential white matter activation}, url = {https://m2.mtmt.hu/api/publication/34921483}, author = {Seas, Andreas and Noor, M. Sohail and Choi, Ki Sueng and Veerakumar, Ashan and Obatusin, Mosadoluwa and Dahill-Fuchel, Jacob and Tiruvadi, Vineet and Xu, Elisa and Riva-Posse, Patricio and Rozell, Christopher J. and Mayberg, Helen S. and Mcintyre, Cameron C. and Waters, Allison C. and Howell, Bryan}, doi = {10.1073/pnas.2314918121}, journal-iso = {P NATL ACAD SCI USA}, journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, volume = {121}, unique-id = {34921483}, issn = {0027-8424}, keywords = {DEPRESSION; Evoked Potentials; Deep brain stimulation; biophysical modeling; connectomics}, year = {2024}, eissn = {1091-6490}, orcid-numbers = {Seas, Andreas/0000-0003-0624-1254} } @article{MTMT:35080821, title = {TMS provokes target-dependent intracranial rhythms across human cortical and subcortical sites}, url = {https://m2.mtmt.hu/api/publication/35080821}, author = {Solomon, E.A. and Wang, J.B. and Oya, H. and Howard, M.A. and Trapp, N.T. and Uitermarkt, B.D. and Boes, A.D. and Keller, C.J.}, doi = {10.1016/j.brs.2024.05.014}, journal-iso = {BRAIN STIMUL}, journal = {BRAIN STIMULATION}, volume = {17}, unique-id = {35080821}, issn = {1935-861X}, year = {2024}, eissn = {1876-4754}, pages = {698-712} } @article{MTMT:34610438, title = {Effects of transcranial magnetic stimulation on the human brain recorded with intracranial electrocorticography}, url = {https://m2.mtmt.hu/api/publication/34610438}, author = {Wang, Jeffrey B. and Hassan, Umair and Bruss, Joel E. and Oya, Hiroyuki and Uitermarkt, Brandt D. and Trapp, Nicholas T. and Gander, Phillip E. and Howard, Matthew A. and Keller, Corey J. and Boes, Aaron D.}, doi = {10.1038/s41380-024-02405-y}, journal-iso = {MOL PSYCHIATR}, journal = {MOLECULAR PSYCHIATRY}, volume = {29}, unique-id = {34610438}, issn = {1359-4184}, abstract = {Transcranial magnetic stimulation (TMS) is increasingly used as a noninvasive technique for neuromodulation in research and clinical applications, yet its mechanisms are not well understood. Here, we present the neurophysiological effects of TMS using intracranial electrocorticography (iEEG) in neurosurgical patients. We first evaluated safety in a gel-based phantom. We then performed TMS-iEEG in 22 neurosurgical participants with no adverse events. We next evaluated intracranial responses to single pulses of TMS to the dorsolateral prefrontal cortex (dlPFC) (N = 10, 1414 electrodes). We demonstrate that TMS is capable of inducing evoked potentials both locally within the dlPFC and in downstream regions functionally connected to the dlPFC, including the anterior cingulate and insular cortex. These downstream effects were not observed when stimulating other distant brain regions. Intracranial dlPFC electrical stimulation had similar timing and downstream effects as TMS. These findings support the safety and promise of TMS-iEEG in humans to examine local and network-level effects of TMS with higher spatiotemporal resolution than currently available methods.}, year = {2024}, eissn = {1476-5578}, pages = {1228-1240} } @article{MTMT:33865809, title = {Quantifying trial-by-trial variability during cortico-cortical evoked potential mapping of epileptogenic tissue}, url = {https://m2.mtmt.hu/api/publication/33865809}, author = {Cornblath, Eli J. J. and Lucas, Alfredo and Armstrong, Caren and Greenblatt, Adam S. S. and Stein, Joel M. M. and Hadar, Peter N. N. and Raghupathi, Ramya and Marsh, Eric and Litt, Brian and Davis, Kathryn A. A. and Conrad, Erin C. C.}, doi = {10.1111/epi.17528}, journal-iso = {EPILEPSIA}, journal = {EPILEPSIA}, volume = {64}, unique-id = {33865809}, issn = {0013-9580}, abstract = {ObjectiveMeasuring cortico-cortical evoked potentials (CCEPs) is a promising tool for mapping epileptic networks, but it is not known how variability in brain state and stimulation technique might impact the use of CCEPs for epilepsy localization. We test the hypotheses that (1) CCEPs demonstrate systematic variability across trials and (2) CCEP amplitudes depend on the timing of stimulation with respect to endogenous, low-frequency oscillations. MethodsWe studied 11 patients who underwent CCEP mapping after stereo-electroencephalography electrode implantation for surgical evaluation of drug-resistant epilepsy. Evoked potentials were measured from all electrodes after each pulse of a 30 s, 1 Hz bipolar stimulation train. We quantified monotonic trends, phase dependence, and standard deviation (SD) of N1 (15-50 ms post-stimulation) and N2 (50-300 ms post-stimulation) amplitudes across the 30 stimulation trials for each patient. We used linear regression to quantify the relationship between measures of CCEP variability and the clinical seizure-onset zone (SOZ) or interictal spike rates. ResultsWe found that N1 and N2 waveforms exhibited both positive and negative monotonic trends in amplitude across trials. SOZ electrodes and electrodes with high interictal spike rates had lower N1 and N2 amplitudes with higher SD across trials. Monotonic trends of N1 and N2 amplitude were more positive when stimulating from an area with higher interictal spike rate. We also found intermittent synchronization of trial-level N1 amplitude with low-frequency phase in the hippocampus, which did not localize the SOZ. SignificanceThese findings suggest that standard approaches for CCEP mapping, which involve computing a trial-averaged response over a .2-1 Hz stimulation train, may be masking inter-trial variability that localizes to epileptogenic tissue. We also found that CCEP N1 amplitudes synchronize with ongoing low-frequency oscillations in the hippocampus. Further targeted experiments are needed to determine whether phase-locked stimulation could have a role in localizing epileptogenic tissue.}, keywords = {EPILEPSY; Hippocampal theta; seizure; Cortico-cortical evoked potentials; epileptic spikes; ONSET ZONE}, year = {2023}, eissn = {1528-1167}, pages = {1021-1034}, orcid-numbers = {Lucas, Alfredo/0000-0001-9439-735X} } @article{MTMT:34593899, title = {Functional and anatomical connectivity predict brain stimulation's mnemonic effects}, url = {https://m2.mtmt.hu/api/publication/34593899}, author = {Ezzyat, Youssef and Kragel, James E. and Solomon, Ethan A. and Lega, Bradley C. and Aronson, Joshua P. and Jobst, Barbara C. and Gross, Robert E. and Sperling, Michael R. and Worrell, Gregory A. and Sheth, Sameer A. and Wanda, Paul A. and Rizzuto, Daniel S. and Kahana, Michael J.}, doi = {10.1093/cercor/bhad427}, journal-iso = {CEREB CORTEX}, journal = {CEREBRAL CORTEX}, unique-id = {34593899}, issn = {1047-3211}, abstract = {Closed-loop direct brain stimulation is a promising tool for modulating neural activity and behavior. However, it remains unclear how to optimally target stimulation to modulate brain activity in particular brain networks that underlie particular cognitive functions. Here, we test the hypothesis that stimulation's behavioral and physiological effects depend on the stimulation target's anatomical and functional network properties. We delivered closed-loop stimulation as 47 neurosurgical patients studied and recalled word lists. Multivariate classifiers, trained to predict momentary lapses in memory function, triggered the stimulation of the lateral temporal cortex (LTC) during the study phase of the task. We found that LTC stimulation specifically improved memory when delivered to targets near white matter pathways. Memory improvement was largest for targets near white matter that also showed high functional connectivity to the brain's memory network. These targets also reduced low-frequency activity in this network, an established marker of successful memory encoding. These data reveal how anatomical and functional networks mediate stimulation's behavioral and physiological effects, provide further evidence that closed-loop LTC stimulation can improve episodic memory, and suggest a method for optimizing neuromodulation through improved stimulation targeting.}, keywords = {white matter; episodic memory; functional connectivity; Intracranial EEG; brain stimulation}, year = {2023}, eissn = {1460-2199} } @article{MTMT:34225841, title = {Towards optimizing single pulse electrical stimulation: High current intensity, short pulse width stimulation most effectively elicits evoked potentials}, url = {https://m2.mtmt.hu/api/publication/34225841}, author = {Hays, M.A. and Kamali, G. and Koubeissi, M.Z. and Sarma, S.V. and Crone, N.E. and Smith, R.J. and Kang, J.Y.}, doi = {10.1016/j.brs.2023.04.023}, journal-iso = {BRAIN STIMUL}, journal = {BRAIN STIMULATION}, volume = {16}, unique-id = {34225841}, issn = {1935-861X}, year = {2023}, eissn = {1876-4754}, pages = {772-782} } @article{MTMT:33865810, title = {Cortico-cortical evoked potentials in response to varying stimulation intensity improves seizure localization}, url = {https://m2.mtmt.hu/api/publication/33865810}, author = {Hays, Mark A. and Smith, Rachel J. and Wang, Yujing and Coogan, Christopher and Sarma, Sridevi V. and Crone, Nathan E. and Kang, Joon Y.}, doi = {10.1016/j.clinph.2022.08.024}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {145}, unique-id = {33865810}, issn = {1388-2457}, abstract = {Objective: As single pulse electrical stimulation (SPES) is increasingly utilized to help localize the seizure onset zone (SOZ), it is important to understand how stimulation intensity can affect the ability to use cortico-cortical evoked potentials (CCEPs) to delineate epileptogenic regions.Methods: We studied 15 drug-resistant epilepsy patients undergoing intracranial EEG monitoring and SPES with titrations of stimulation intensity. The N1 amplitude and distribution of CCEPs elicited in the SOZ and non-seizure onset zone (nSOZ) were quantified at each intensity. The separability of the SOZ and nSOZ using N1 amplitudes was compared between models using responses to titrations, responses to one maximal intensity, or both.Results: At 2 mA and above, the increase in N1 amplitude with current intensity was greater for responses within the SOZ, and SOZ response distribution was maximized by 4-6 mA. Models incorporating titrations achieved better separability of SOZ and nSOZ compared to those using one maximal intensity. Conclusions: We demonstrated that differences in CCEP amplitude over a range of current intensities can improve discriminability of SOZ regions.Significance: This study provides insight into the underlying excitability of the SOZ and how differences in current-dependent amplitudes of CCEPs may be used to help localize epileptogenic sites.(c) 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.}, keywords = {EPILEPSY; Intracranial EEG; Effective connectivity; Cortico-cortical evoked potential; single pulse electrical stimulation; Epileptogenic network}, year = {2023}, eissn = {1872-8952}, pages = {119-128} } @article{MTMT:33865811, title = {Variability of Single Pulse Electrical Stimulation Responses Recorded with Intracranial Electroencephalography in Epileptic Patients}, url = {https://m2.mtmt.hu/api/publication/33865811}, author = {Jedynak, Maciej and Boyer, Anthony and Chanteloup-Foret, Blandine and Bhattacharjee, Manik and Saubat, Carole and Tadel, Francois and Kahane, Philippe and David, Olivier and F TRACT Consortium}, doi = {10.1007/s10548-022-00928-7}, journal-iso = {BRAIN TOPOGR}, journal = {BRAIN TOPOGRAPHY}, volume = {36}, unique-id = {33865811}, issn = {0896-0267}, abstract = {Cohort studies of brain stimulations performed with stereo-electroencephalographic (SEEG) electrodes in epileptic patients allow to derive large scale functional connectivity. It is known, however, that brain responses to electrical or magnetic stimulation techniques are not always reproducible. Here, we study variability of responses to single pulse SEEG electrical stimulation. We introduce a second-order probability analysis, i.e. we extend estimation of connection probabilities, defined as the proportion of responses trespassing a statistical threshold (determined in terms of Z-score with respect to spontaneous neuronal activity before stimulation) over all responses and derived from a number of individual measurements, to an analysis of pairs of measurements.Data from 445 patients were processed. We found that variability between two equivalent measurements is substantial in particular conditions. For long ( > similar to 90 mm) distances between stimulating and recording sites, and threshold value Z = 3, correlation between measurements drops almost to zero. In general, it remains below 0.5 when the threshold is smaller than Z =4 or the stimulating current intensity is 1 mA. It grows with an increase of either of these factors. Variability is independent of interictal spiking rates in the stimulating and recording sites.We conclude that responses to SEEG stimulation in the human brain are variable, i.e. in a subject at rest, two stimulation trains performed at the same electrode contacts and with the same protocol can give discrepant results. Our findings highlight an advantage of probabilistic interpretation of such results even in the context of a single individual.}, keywords = {Brain atlas; Connectivity mapping; Stereoelectroencephalography (SEEG); Cortico-cortical evoked potentials (CCEP); Single pulse electrical stimulation (SPES)}, year = {2023}, eissn = {1573-6792}, pages = {119-127}, orcid-numbers = {Jedynak, Maciej/0000-0003-1876-5485; Bhattacharjee, Manik/0000-0002-8183-1521; Tadel, Francois/0000-0001-5726-7126; David, Olivier/0000-0003-0776-0216} } @article{MTMT:33732193, title = {Functional networks in prolonged disorders of consciousness}, url = {https://m2.mtmt.hu/api/publication/33732193}, author = {Li, H. and Zhang, X. and Sun, X. and Dong, L. and Lu, H. and Yue, S. and Zhang, H.}, doi = {10.3389/fnins.2023.1113695}, journal-iso = {FRONT NEUROSCI-SWITZ}, journal = {FRONTIERS IN NEUROSCIENCE}, volume = {17}, unique-id = {33732193}, issn = {1662-4548}, abstract = {Prolonged disorders of consciousness (DoC) are characterized by extended disruptions of brain activities that sustain wakefulness and awareness and are caused by various etiologies. During the past decades, neuroimaging has been a practical method of investigation in basic and clinical research to identify how brain properties interact in different levels of consciousness. Resting-state functional connectivity within and between canonical cortical networks correlates with consciousness by a calculation of the associated temporal blood oxygen level-dependent (BOLD) signal process during functional MRI (fMRI) and reveals the brain function of patients with prolonged DoC. There are certain brain networks including the default mode, dorsal attention, executive control, salience, auditory, visual, and sensorimotor networks that have been reported to be altered in low-level states of consciousness under either pathological or physiological states. Analysis of brain network connections based on functional imaging contributes to more accurate judgments of consciousness level and prognosis at the brain level. In this review, neurobehavioral evaluation of prolonged DoC and the functional connectivity within brain networks based on resting-state fMRI were reviewed to provide reference values for clinical diagnosis and prognostic evaluation. Copyright © 2023 Li, Zhang, Sun, Dong, Lu, Yue and Zhang.}, keywords = {NETWORK; neuroimaging; FMRI; functional connectivity; prolonged DoC}, year = {2023}, eissn = {1662-453X} } @article{MTMT:34225842, title = {Network targets for therapeutic brain stimulation: towards personalized therapy for pain}, url = {https://m2.mtmt.hu/api/publication/34225842}, author = {Motzkin, J.C. and Kanungo, I. and D’Esposito, M. and Shirvalkar, P.}, doi = {10.3389/fpain.2023.1156108}, journal-iso = {FRONT PAIN RES}, journal = {FRONTIERS IN PAIN RESEARCH}, volume = {4}, unique-id = {34225842}, issn = {2673-561X}, year = {2023}, eissn = {2673-561X} } @article{MTMT:34578288, title = {Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics}, url = {https://m2.mtmt.hu/api/publication/34578288}, author = {Nejatbakhsh, Amin and Fumarola, Francesco and Esteki, Saleh and Toyoizumi, Taro and Kiani, Roozbeh and Mazzucato, Luca}, doi = {10.1103/PhysRevResearch.5.043211}, journal-iso = {PRRESEARCH}, journal = {PHYSICAL REVIEW RESEARCH}, volume = {5}, unique-id = {34578288}, abstract = {A crucial challenge in targeted manipulation of neural activity is to identify perturbation sites whose stimulation exerts significant effects downstream with high efficacy, a procedure currently achieved by labor-intensive and potentially harmful trial and error. Can one predict the effects of electrical stimulation on neural activity based on the circuit dynamics during spontaneous periods? Here we show that the effects of single-site micro stimulation on ensemble activity in an alert monkey's prefrontal cortex can be predicted solely based on the ensemble's spontaneous activity. We first inferred the ensemble's causal flow based on the directed functional interactions inferred during spontaneous periods using convergent cross-mapping and showed that it uncovers a causal hierarchy between the recording electrodes. We find that causal flow inferred at rest successfully predicts the spatiotemporal effects of micro-stimulation. We validate the computational features underlying causal flow using ground truth data from recurrent neural network models, showing that it is robust to noise and common inputs. A detailed comparison between convergent-cross mapping and alternative methods based on information theory reveals the advantages of the former method in predicting perturbation effects. Our results elucidate the causal interactions within neural ensembles and will facilitate the design of intervention protocols and targeted circuit manipulations suitable for brain-machine interfaces.}, year = {2023}, eissn = {2643-1564}, orcid-numbers = {Nejatbakhsh, Amin/0000-0001-5155-4757} } @article{MTMT:34528808, title = {Physiological and pathological neuronal connectivity in the living human brain based on intracranial EEG signals: the current state of research}, url = {https://m2.mtmt.hu/api/publication/34528808}, author = {Novitskaya, Y. and Dümpelmann, M. and Schulze-Bonhage, A.}, doi = {10.3389/fnetp.2023.1297345}, journal-iso = {FRONT NETW PHYSIOL}, journal = {FRONTIERS IN NETWORK PHYSIOLOGY}, volume = {3}, unique-id = {34528808}, year = {2023}, eissn = {2674-0109} } @article{MTMT:34079558, title = {Reliability and Validity of Transcranial Magnetic Stimulation–Electroencephalography Biomarkers}, url = {https://m2.mtmt.hu/api/publication/34079558}, author = {Parmigiani, S. and Ross, J.M. and Cline, C.C. and Minasi, C.B. and Gogulski, J. and Keller, C.J.}, doi = {10.1016/j.bpsc.2022.12.005}, journal-iso = {BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGINING}, journal = {BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING}, volume = {8}, unique-id = {34079558}, issn = {2451-9022}, abstract = {Noninvasive brain stimulation and neuroimaging have revolutionized human neuroscience with a multitude of applications, including diagnostic subtyping, treatment optimization, and relapse prediction. It is therefore particularly relevant to identify robust and clinically valuable brain biomarkers linking symptoms to their underlying neural mechanisms. Brain biomarkers must be reproducible (i.e., have internal reliability) across similar experiments within a laboratory and be generalizable (i.e., have external reliability) across experimental setups, laboratories, brain regions, and disease states. However, reliability (internal and external) is not alone sufficient; biomarkers also must have validity. Validity describes closeness to a true measure of the underlying neural signal or disease state. We propose that these metrics, reliability and validity, should be evaluated and optimized before any biomarker is used to inform treatment decisions. Here, we discuss these metrics with respect to causal brain connectivity biomarkers from coupling transcranial magnetic stimulation (TMS) with electroencephalography (EEG). We discuss controversies around TMS-EEG stemming from the multiple large off-target components (noise) and relatively weak genuine brain responses (signal), as is unfortunately often the case in noninvasive human neuroscience. We review the current state of TMS-EEG recordings, which consist of a mix of reliable noise and unreliable signal. We describe methods for evaluating TMS-EEG biomarkers, including how to assess internal and external reliability across facilities, cognitive states, brain networks, and disorders and how to validate these biomarkers using invasive neural recordings or treatment response. We provide recommendations to increase reliability and validity, discuss lessons learned, and suggest future directions for the field. © 2022}, keywords = {Reliability; VALIDITY; Electroencephalography (EEG); Transcranial magnetic stimulation (TMS); TMS-EEG; Transcranial magnetic stimulation–evoked potentials (TEP)}, year = {2023}, eissn = {2451-9030}, pages = {805-814} } @article{MTMT:33865808, title = {Neocortical and medial temporal seizures have distinct impacts on brain responsiveness}, url = {https://m2.mtmt.hu/api/publication/33865808}, author = {Russo, Simone and Mikulan, Ezequiel and Zauli, Flavia Maria and Sartori, Ivana and Solbiati, Michela and Furregoni, Giulia and Porro, Marta and Revay, Martina and Rosanova, Mario and David, Olivier and Massimini, Marcello and Tassi, Laura and Pigorini, Andrea}, doi = {10.1111/epi.17580}, journal-iso = {EPILEPSIA}, journal = {EPILEPSIA}, unique-id = {33865808}, issn = {0013-9580}, abstract = {Focal epileptic seizures are characterized by abnormal neuronal discharges that can spread to other cortical areas and interfere with brain activity, thereby altering the patient's experience and behavior. The origin of these pathological neuronal discharges encompasses various mechanisms that converge toward similar clinical manifestations. Recent studies have suggested that medial temporal lobe (MTL) and neocortical (NC) seizures are often underpinned by two characteristic onset patterns, which, respectively, affect and spare synaptic transmission in cortical slices. However, these synaptic alterations and their effects have never been confirmed or studied in intact human brains. To fill this gap, we here evaluate whether responsiveness of MTL and NC are differentially affected by focal seizures, using a unique data set of cortico-cortical evoked potentials (CCEPs) collected during seizures triggered by single-pulse electrical stimulation (SPES). We find that responsiveness is abruptly reduced by the onset of MTL seizures, despite increased spontaneous activity, whereas it is preserved in the case of NC seizures. The present results provide an extreme example of dissociation between responsiveness and activity and show that brain networks are diversely affected by the onset of MTL and NC seizures, thus extending at the whole brain level the evidence of synaptic alteration found in vitro.}, keywords = {RESPONSIVENESS; Effective connectivity; Cortico-cortical evoked potential; Intracranial recording; medial temporal lobe epilepsy}, year = {2023}, eissn = {1528-1167}, orcid-numbers = {Pigorini, Andrea/0000-0002-1856-3413} } @article{MTMT:33762939, title = {Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation}, url = {https://m2.mtmt.hu/api/publication/33762939}, author = {Seguin, C. and Jedynak, M. and David, O. and Mansour, S. and Sporns, O. and Zalesky, A.}, doi = {10.1016/j.neuron.2023.01.027}, journal-iso = {NEURON}, journal = {NEURON}, unique-id = {33762939}, issn = {0896-6273}, year = {2023}, eissn = {1097-4199} } @article{MTMT:34225839, title = {Human anterior thalamic stimulation evoked cortical potentials align with intrinsic functional connectivity}, url = {https://m2.mtmt.hu/api/publication/34225839}, author = {Wu, D. and Schaper, F.L.W.V.J. and Jin, G. and Qi, L. and Du, J. and Wang, X. and Wang, Y. and Xu, C. and Wang, X. and Yu, T. and Fox, M.D. and Ren, L.}, doi = {10.1016/j.neuroimage.2023.120243}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {277}, unique-id = {34225839}, issn = {1053-8119}, year = {2023}, eissn = {1095-9572} } @article{MTMT:34593900, title = {Differential cortical network engagement during states of un/consciousness in humans}, url = {https://m2.mtmt.hu/api/publication/34593900}, author = {Zelmann, Rina and Paulk, Angelique C. and Tian, Fangyun and Villegas, Gustavo A. Balanza and Peralta, Jaquelin Dezha and Crocker, Britni and Cosgrove, G. Rees and Richardson, R. Mark and Williams, Ziv M. and Dougherty, Darin D. and Purdon, Patrick L. and Cash, Sydney S.}, doi = {10.1016/j.neuron.2023.08.007}, journal-iso = {NEURON}, journal = {NEURON}, volume = {111}, unique-id = {34593900}, issn = {0896-6273}, abstract = {What happens in the human brain when we are unconscious? Despite substantial work, we are still unsure which brain regions are involved and how they are impacted when consciousness is disrupted. Using intracranial recordings and direct electrical stimulation, we mapped global, network, and regional involvement during wake vs. arousable unconsciousness (sleep) vs. non-arousable unconsciousness (propofol-induced general anesthesia). Information integration and complex processing we're reduced, while variability increased in any type of unconscious state. These changes were more pronounced during anesthesia than sleep and involved different cortical engagement. During sleep, changes were mostly uniformly distributed across the brain, whereas during anesthesia, the prefrontal cortex was the most disrupted, suggesting that the lack of arousability during anesthesia results not from just altered overall physiology but from a disconnection between the prefrontal and other brain areas. These findings provide direct evidence for different neural dynamics during loss of consciousness compared with loss of arousability.}, year = {2023}, eissn = {1097-4199}, pages = {3479-3495} } @article{MTMT:32961414, title = {Simultaneous stereo-EEG and high-density scalp EEG recordings to study the effects of intracerebral stimulation parameters}, url = {https://m2.mtmt.hu/api/publication/32961414}, author = {Parmigiani, S. and Mikulan, E. and Russo, S. and Sarasso, S. and Zauli, F. M. and Rubino, A. and Cattani, A. and Fecchio, M. and Giampiccolo, D. and Lanzone, J. and D'Orio, P. and Del Vecchio, M. and Avanzini, P. and Nobili, L. and Sartori, I and Massimini, M. and Pigorini, A.}, doi = {10.1016/j.brs.2022.04.007}, journal-iso = {BRAIN STIMUL}, journal = {BRAIN STIMULATION}, volume = {15}, unique-id = {32961414}, issn = {1935-861X}, abstract = {Background: Cortico-cortical evoked potentials (CCEPs) recorded by stereo-electroencephalography (SEEG) are a valuable tool to investigate brain reactivity and effective connectivity. However, invasive recordings are spatially sparse since they depend on clinical needs. This sparsity hampers systematic comparisons across-subjects, the detection of the whole-brain effects of intracortical stimulation, as well as their relationships to the EEG responses evoked by non-invasive stimuli. Objective: To demonstrate that CCEPs recorded by high-density electroencephalography (hd-EEG) provide additional information with respect SEEG alone and to provide an open, curated dataset to allow for further exploration of their potential. Methods: The dataset encompasses SEEG and hd-EEG recordings simultaneously acquired during Single Pulse Electrical Stimulation (SPES) in drug-resistant epileptic patients (N 1/4 36) in whom stimulations were delivered with different physical, geometrical, and topological parameters. Differences in CCEPs were assessed by amplitude, latency, and spectral measures. Results: While invasively and non-invasively recorded CCEPs were generally correlated, differences in pulse duration, angle and stimulated cortical area were better captured by hd-EEG. Further, intracranial stimulation evoked site-specific hd-EEG responses that reproduced the spectral features of EEG responses to transcranial magnetic stimulation (TMS). Notably, SPES, albeit unperceived by subjects, elicited scalp responses that were up to one order of magnitude larger than the responses typically evoked by sensory stimulation in awake humans. Conclusions: CCEPs can be simultaneously recorded with SEEG and hd-EEG and the latter provides a reliable descriptor of the effects of SPES as well as a common reference to compare the whole-brain}, keywords = {single pulse electrical stimulation; CCEP; stereo-EEG; Stimulation parameters; scalp hd-EEG}, year = {2022}, eissn = {1876-4754}, pages = {664-675} } @article{MTMT:33006199, title = {Improved speech hearing in noise with invasive electrical brain stimulation}, url = {https://m2.mtmt.hu/api/publication/33006199}, author = {Patel, Prachi and Khalijhinejad, Bahar and Herrero, Jose L. and Bickel, Stephan and Mehta, Ashesh D. and Mesgarani, Nima}, doi = {10.1523/JNEUROSCI.1468-21.2022}, journal-iso = {J NEUROSCI}, journal = {JOURNAL OF NEUROSCIENCE}, volume = {42}, unique-id = {33006199}, issn = {0270-6474}, abstract = {Speech perception in noise is a challenging everyday task with which many listeners have difficulty. Here, we report a case in which electrical brain stimulation of implanted intracranial electrodes in the left planum temporale (PT) of a neurosurgical patient significantly and reliably improved subjectivequality (up to 50%) and objective intelligibility (up to 97%) of speech in noise perception. Stimulation resulted in a selective enhancement of speech sounds compared to the background noises. Thereceptive fields of the PT sites whose stimulation improved speech perception were tuned to spectrally broad and rapidly changing sounds. Corticocortical evoked potential analysis revealed that the PT sites were located between the sites in Heschl's gyrus (HG) and the superior temporal gyrus (STG). Moreover, the discriminability of speech from nonspeech sounds increased in population neural responses from HG to the PT to the STG sites. These findings causally implicate the PT in background noise suppression and may point to a novel potential neuroprosthetic solution to assist in the challenging task of speech perception in noise.SignificanceSpeech perception in noise remains a challenging task for many individuals. Here, we present a case in which the electrical brain stimulation of intracranially implanted electrodes in the planum temporale of a neurosurgical patient significantly improved both the subjective quality (up to 50%) and objective intelligibility (up to 97%) of speech perception in noise. Stimulation resulted in a selective enhancement of speech sounds compared to the background noises. Our local and network-level functional analyses placed the planum temporale sites in between the sites in the primary auditory areas in Heschl's gyrus and nonprimary auditory areas in the superior temporal gyrus. These findings causally implicate planum temporale in acoustic scene analysis and suggest potential neuroprosthetic applications to assist hearing in noise.}, keywords = {auditory cortex; human electrophysiology}, year = {2022}, eissn = {1529-2401} } @article{MTMT:32961415, title = {Neuromonitoring of the language pathways using cortico-cortical evoked potentials: a systematic review and meta-analysis}, url = {https://m2.mtmt.hu/api/publication/32961415}, author = {Titov, Oleg and Bykanov, Andrey and Pitskhelauri, David and Danilov, Gleb}, doi = {10.1007/s10143-021-01718-8}, journal-iso = {NEUROSURG REV}, journal = {NEUROSURGICAL REVIEW}, volume = {45}, unique-id = {32961415}, issn = {0344-5607}, abstract = {Cortico-cortical evoked potentials (CCEPs) are a surge in activity of one cortical zone caused by stimulation of another cortical zone. Recording of CCEP may be a useful method of intraoperative monitoring of the brain pathways, particularly of the language-related tracts. We aimed to conduct a systematic review and meta-analysis, dedicated to the clinical question: Does the CCEP recording effectively predict the postoperative speech deficits in neurosurgical patients? We conducted language-restricted PubMed, Google Scholar, Scopus, and Cochrane database search for eligible studies of CCEP published until March 2021. There were 4 articles (3 case series and 1 case report), which met our inclusion/exclusion criteria. A total of 32 patients (30 cases of tumors and 2 cavernomas) included in the analysis were divided into two cohorts - quantitative and qualitative, in accordance with the method of evaluating changes in the amplitude of CCEP after the lesion resection and postoperative alterations in speech function. Quantitative variables were studied using the Spearman rank correlation coefficient. Categorical variables were compared in groups by Fisher's exact test. We found a strong positive correlation between the decrease in the N1 wave amplitude and the severity of postoperative speech deficits (quantitative cohort: r = 0.57, p = 0.01; qualitative cohort: p = 0.02). Thus, the CCEP method using the N1 wave amplitude as a marker enables to effectively predict postoperative speech outcomes. Nevertheless, the low level of evidence for the included works indicated the necessity for additional research on this issue.}, keywords = {Brain; CORTEX; Connectivity; LANGUAGE; connectome; Cortico-cortical evoked potentials}, year = {2022}, eissn = {1437-2320}, pages = {1883-1894} } @article{MTMT:33229822, title = {Distinct connectivity patterns in human medial parietal cortices: Evidence from standardized connectivity map using cortico-cortical evoked potential}, url = {https://m2.mtmt.hu/api/publication/33229822}, author = {Togo, Masaya and Matsumoto, Riki and Usami, Kiyohide and Kobayashi, Katsuya and Takeyama, Hirofumi and Nakae, Takuro and Shimotake, Akihiro and Kikuchi, Takayuki and Yoshida, Kazumichi and Matsuhashi, Masao and Kunieda, Takeharu and Miyamoto, Susumu and Takahashi, Ryosuke and Ikeda, Akio}, doi = {10.1016/j.neuroimage.2022.119639}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {263}, unique-id = {33229822}, issn = {1053-8119}, abstract = {The medial parietal cortices are components of the default mode network (DMN), which are active in the resting state. The medial parietal cortices include the precuneus and the dorsal posterior cingulate cortex (dPCC). Few studies have mentioned differences in the connectivity in the medial parietal cortices, and these differences have not yet been precisely elucidated. Electrophysiological connectivity is essential for understanding cortical function or functional differences. Since little is known about electrophysiological connections from the medial parietal cortices in humans, we evaluated distinct connectivity patterns in the medial parietal cortices by constructing a standardized connectivity map using cortico-cortical evoked potential (CCEP). This study included nine patients with partial epilepsy or a brain tumor who underwent chronic intracranial electrode placement covering the medial parietal cortices. Single-pulse electrical stimuli were delivered to the medial parietal cortices (38 pairs of electrodes). Responses were standardized using the z-score of the baseline activity, and a response density map was constructed in the Montreal Neurological Institutes (MNI) space. The precuneus tended to connect with the inferior parietal lobule (IPL), the occipital cortex, superior parietal lobule (SPL), and the dorsal premotor area (PMd) (the four most active regions, in descending order), while the dPCC tended to connect to the middle cingulate cortex, SPL, precuneus, and IPL. The connectivity pattern differs significantly between the precuneus and dPCC stimulation ( p < 0.05). Regarding each part of the medial parietal cortices, the distributions of parts of CCEP responses resembled those of the functional connectivity database. Based on how the dPCC was connected to the medial frontal area, SPL, and IPL, its connectivity pattern could not be explained by DMN alone, but suggested a mixture of DMN and the frontoparietal cognitive network. These findings improve our understanding of the connectivity profile within the medial parietal cortices. The electrophysiological connectivity is the basis of propagation of electrical activities in patients with epilepsy. In addition, it helps us to better understand the epileptic network arising from the medial parietal cortices.}, keywords = {default mode network; posterior cingulate cortex; Precuneus; Medial parietal cortices; Cortico-cortical evoked potential (CCEP)}, year = {2022}, eissn = {1095-9572}, orcid-numbers = {Usami, Kiyohide/0000-0003-2257-8279; Nakae, Takuro/0000-0002-3574-1744; Kikuchi, Takayuki/0000-0002-6295-5510; Yoshida, Kazumichi/0000-0002-8898-079X} } @article{MTMT:33167977, title = {The web of laughter: frontal and limbic projections of the anterior cingulate cortex revealed by cortico-cortical evoked potential from sites eliciting laughter}, url = {https://m2.mtmt.hu/api/publication/33167977}, author = {Zauli, F. M. and Del Vecchio, M. and Russo, S. and Mariani, V and Pelliccia, V and d'Orio, P. and Sartori, I and Avanzini, P. and Caruana, F.}, doi = {10.1098/rstb.2021.0180}, journal-iso = {PHILOS T ROY SOC B}, journal = {PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B - BIOLOGICAL SCIENCES}, volume = {377}, unique-id = {33167977}, issn = {0962-8436}, abstract = {According to an evolutionist approach, laughter is a multifaceted behaviour affecting social, emotional, motor and speech functions. Albeit previous studies have suggested that high-frequency electrical stimulation (HF-ES) of the pregenual anterior cingulate cortex (pACC) may induce bursts of laughter-suggesting a crucial contribution of this region to the cortical control of this behaviour-the complex nature of laughter implies that outward connections from the pACC may reach and affect a complex network of frontal and limbic regions. Here, we studied the effective connectivity of the pACC by analysing the cortico-cortical evoked potentials elicited by single-pulse electrical stimulation of pACC sites whose HF-ES elicited laughter in 12 patients. Once these regions were identified, we studied their clinical response to HF-ES, to reveal the specific functional target of pACC representation of laughter. Results reveal that the neural representation of laughter in the pACC interacts with several frontal and limbic regions, including cingulate, orbitofrontal, medial prefrontal and anterior insular regions-involved in interoception, emotion, social reward and motor behaviour. These results offer neuroscientific support to the evolutionist approach to laughter, providing a possible mechanistic explanation of the interplay between this behaviour and emotion regulation, speech production and social interactions.This article is part of the theme issue 'Cracking the laugh code: laughter through the lens of biology, psychology and neuroscience'.}, keywords = {electrical stimulation; emotion regulation; Effective connectivity; stereo-electroencephalography; emotional mirroring}, year = {2022}, eissn = {1471-2970} } @article{MTMT:32277265, title = {Recording cortico-cortical evoked potentials of the human arcuate fasciculus under general anaesthesia}, url = {https://m2.mtmt.hu/api/publication/32277265}, author = {Giampiccolo, D. and Parmigiani, S. and Basaldella, F. and Russo, S. and Pigorini, A. and Rosanova, M. and Cattaneo, L. and Sala, F.}, doi = {10.1016/j.clinph.2021.03.044}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {132}, unique-id = {32277265}, issn = {1388-2457}, abstract = {Objective: We examined the feasibility of using cortico-cortical evoked potentials (CCEPs) to monitor the major cortical white matter tract involved in language, the arcuate fasciculus (AF), during surgery under general anaesthesia.Methods: We prospectively recruited nine patients undergoing surgery for lesions in the left peri-sylvian cortex, for whom awake surgery was not indicated. High angular resolution diffusion imaging (HARDI) tractography was used to localise frontal and temporal AF terminations, which guided intraoperative cortical strip placement.Results: CCEPs were successfully evoked in 5/9 patients, showing a positive potential (P1) at 12 ms and a negative component (N1) at 21 ms when stimulating from the frontal lobe and recording in the temporal lobe. CCEP responses peaked in the posterior middle temporal gyrus. No CCEPs were evoked when stimulating temporal sites and recording from frontal contacts.Conclusion: For the first time, we show that CCEPs can be evoked from the peri-sylvian cortices also in adult patients who are not candidates for awake procedures. Our results are akin to those described in the awake setting and suggest the recorded activity is conveyed by the arcuate fasciculus.Significance: This intraoperative approach may have promising implications in reducing deficits in patients that require surgery in language areas under general anesthesia. (C) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.}, keywords = {LANGUAGE; neurosurgery; Intraoperative Neurophysiological Monitoring; Brain tumour; asleep surgery; CCEPs}, year = {2021}, eissn = {1872-8952}, pages = {1966-1973} } @article{MTMT:32277272, title = {Effective connectivity among the hippocampus, amygdala, and temporal neocortex in epilepsy patients: A cortico-cortical evoked potential study}, url = {https://m2.mtmt.hu/api/publication/32277272}, author = {Guo, Zhihao and Zhao, Baotian and Hu, Wenhan and Zhang, Chao and Wang, Xiu and Wang, Yao and Liu, Chang and Mo, Jiajie and Sang, Lin and Ma, Yanshan and Shao, Xiaoqiu and Zhang, Jianguo and Zhang, Kai}, doi = {10.1016/j.yebeh.2020.107661}, journal-iso = {EPILEPSY BEHAV}, journal = {EPILEPSY & BEHAVIOR}, volume = {115}, unique-id = {32277272}, issn = {1525-5050}, abstract = {Objective: Mesial temporal lobe epilepsy (MTLE) is one of the most common types of intractable epilepsy. The hippocampus and amygdala are two crucial structures of the mesial temporal lobe and play important roles in the epileptogenic network of MTLE. This study aimed to explore the effective connectivity among the hippocampus, amygdala, and temporal neocortex and to determine whether differences in effective connectivity exist between MTLE patients and non-MTLE patients.Methods: This study recruited 20 patients from a large cohort of drug-resistant epilepsy patients, of whom 14 were MTLE patients. Single-pulse electrical stimulation (SPES) was performed to acquire cortico-cortical evoked potentials (CCEPs). The root mean square (RMS) was used as the metric of the magnitude of CCEP to represent the effective connectivity. We then conducted paired and independent sample t-tests to assess the directionality of the effective connectivity.Results: In both MTLE patients and non-MTLE patients, the directional connectivity from the amygdala to the hippocampus was stronger than that from the hippocampus to the amygdala (P < 0.01); the outward connectivity from the amygdala to the cortex was stronger than the inward connectivity from the cortex to the amygdala (P < 0.01); the amygdala had stronger connectivity to the neocortex than the hippocampus (P < 0.01). In MTLE patients, the neocortex had stronger connectivity to the hippocampus than to the amygdala (P < 0.01). No significant differences in directional connectivity were noted between the two groups.Conclusions: A unique effective connectivity pattern among the hippocampus, amygdala, and temporal neocortex was identified through CCEPs analysis. This study may aid in our understanding of physiological and pathological networks in the brain and inspire neurostimulation protocols for neurological and psychiatric disorders. (C) 2020 Elsevier Inc. All rights reserved.}, keywords = {hippocampus; Effective connectivity; CCEP; mTLE; amygdala}, year = {2021}, eissn = {1525-5069}, orcid-numbers = {Guo, Zhihao/0000-0002-4713-1337} } @article{MTMT:32961418, title = {Effects of stimulation intensity on intracranial cortico-cortical evoked potentials: A titration study}, url = {https://m2.mtmt.hu/api/publication/32961418}, author = {Hays, A. Mark and Smith, J. Rachel and Haridas, Babitha and Coogan, Christopher and Crone, E. Nathan and Kang, Y. Joon}, doi = {10.1016/j.clinph.2021.08.008}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {132}, unique-id = {32961418}, issn = {1388-2457}, abstract = {Objective: The aim of the present study was to investigate the optimal stimulation parameters for elicit-ing cortico-cortical evoked potentials (CCEPs) for mapping functional and epileptogenic networks. Methods: We studied 13 patients with refractory epilepsy undergoing intracranial EEG monitoring. We systematically titrated the intensity of single-pulse electrical stimulation at multiple sites to assess the effect of increasing current on salient features of CCEPs such as N1 potential magnitude, signal to noise ratio, waveform similarity, and spatial distribution of responses. Responses at each incremental stimula-tion setting were compared to each other and to a final set of responses at the maximum intensity used in each patient (3.5-10 mA, median 6 mA). Results: We found that with a biphasic 0.15 ms/phase pulse at least 2-4 mA is needed to differentiate between non-responsive and responsive sites, and that stimulation currents of 6-7 mA are needed to maximize amplitude and spatial distribution of N1 responses and stabilize waveform morphology. Conclusions: We determined a minimum stimulation threshold necessary for eliciting CCEPs, as well as a point at which the current-dependent relationship of several response metrics all saturate. Significance: This titration study provides practical, immediate guidance on optimal stimulation parameters to study specific features of CCEPs, which have been increasingly used to map both functional and epileptic brain networks in humans. CO 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.}, keywords = {Intracranial EEG; Effective connectivity; Cortico-cortical evoked potential; single-pulse electrical stimulation}, year = {2021}, eissn = {1872-8952}, pages = {2766-2777} } @article{MTMT:32277263, title = {Graph theoretical analysis of evoked potentials shows network influence of epileptogenic mesial temporal region}, url = {https://m2.mtmt.hu/api/publication/32277263}, author = {Hays, Mark A. and Coogan, Christopher and Crone, Nathan E. and Kang, Joon Y.}, doi = {10.1002/hbm.25418}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {42}, unique-id = {32277263}, issn = {1065-9471}, abstract = {It is now widely accepted that seizures arise from the coordinated activity of epileptic networks, and as a result, traditional methods of analyzing seizures have been augmented by techniques like single-pulse electrical stimulation (SPES) that estimate effective connectivity in brain networks. We used SPES and graph analytics in 18 patients undergoing intracranial EEG monitoring to investigate effective connectivity between recording sites within and outside mesial temporal structures. We compared evoked potential amplitude, network density, and centrality measures inside and outside the mesial temporal region (MTR) across three patient groups: focal epileptogenic MTR, multifocal epileptogenic MTR, and non-epileptogenic MTR. Effective connectivity within the MTR had significantly greater magnitude (evoked potential amplitude) and network density, regardless of epileptogenicity. However, effective connectivity between MTR and surrounding non-epileptogenic regions was of greater magnitude and density in patients with focal epileptogenic MTR compared to patients with multifocal epileptogenic MTR and those with non-epileptogenic MTR. Moreover, electrodes within focal epileptogenic MTR had significantly greater outward network centrality compared to electrodes outside non-epileptogenic regions and to multifocal and non-epileptogenic MTR. Our results indicate that the MTR is a robustly connected subnetwork that can exert an overall elevated propagative influence over other brain regions when it is epileptogenic. Understanding the underlying effective connectivity and roles of epileptogenic regions within the larger network may provide insights that eventually lead to improved surgical outcomes.}, keywords = {Evoked potential; Graph theory; Intracranial EEG; mesial temporal lobe epilepsy; single-pulse electrical stimulation}, year = {2021}, eissn = {1097-0193}, pages = {4173-4186} } @article{MTMT:32277270, title = {Distinct dual cortico-cortical networks successfully identified between supplemental and primary motor areas during intracranial EEG for drug-resistant frontal lobe epilepsy}, url = {https://m2.mtmt.hu/api/publication/32277270}, author = {Inoue, Takeshi and Uda, Takehiro and Kuki, Ichiro and Yamamoto, Naohiro and Nagase, Shizuka and Nukui, Megumi and Okazaki, Shin and Kawashima, Toshiyuki and Nakanishi, Yoko and Kunihiro, Noritsugu and Matsuzaka, Yasuhiro and Kawawaki, Hisashi and Otsubo, Hiroshi}, doi = {10.1016/j.ebr.2021.100429}, journal-iso = {EPILEPSY BEHAV REP}, journal = {EPILEPSY & BEHAVIOR REPORTS}, volume = {15}, unique-id = {32277270}, abstract = {We present a case of drug-resistant focal motor seizures in which separate cortico-cortical epileptic networks within the supplementary motor area (SMA) proper and primary motor area (PMA) were proven by ictal high-frequency oscillation (HFO) and cortico-cortical evoked potential (CCEP). A 12-year-old girl presented with two types seizures: type A, tonic extension and subsequent clonic movements of the right arm; and type B, tonic and clonic movements of the right leg. MRI was normal and karyotype genetic analysis revealed 46,X,t(X;14)(q13;p12). She underwent placement of chronic subdural electrodes over the left hemisphere. We recorded a total of nine seizures during 10 days of epilepsy monitoring. Type A seizures started from the lower part of the left SMA proper and early spread to the hand motor area of the PMA. Type B seizures started from the upper part of the SMA proper and early spread to the leg motor area of the PMA. CCEPs of both SMA proper and PMA activated two identical routes for evoked potentials correlating with separate pathways. Corticectomy of the left SMA proper and PMA achieved seizure-free without hemiparesis. Within a small homunculus of the SMA proper, separate epileptic networks were proven and validated by seizure semiology, ictal HFO, and CCEP. (C) 2021 The Author(s). Published by Elsevier Inc.}, keywords = {Cortico-cortical evoked potential; epilepsy surgery; SUPPLEMENTARY MOTOR AREA; High-frequency oscillation; primary motor area}, year = {2021}, eissn = {2589-9864}, orcid-numbers = {Yamamoto, Naohiro/0000-0003-4833-9487; Nakanishi, Yoko/0000-0002-5714-4318} } @article{MTMT:32961417, title = {Decreased frontotemporal connectivity in patients with parkinson's disease experiencing face pareidolia}, url = {https://m2.mtmt.hu/api/publication/32961417}, author = {Kajiyama, Yuta and Hattori, Noriaki and Nakano, Tomohito and Revankar, Gajanan S. and Otomune, Hironori and Hashimoto, Ryota and Mori, Etsuro and Ikeda, Manabu and Mihara, Masahito and Mochizuki, Hideki}, doi = {10.1038/s41531-021-00237-z}, journal-iso = {NPJ PARKINSONS DIS}, journal = {NPJ PARKINSONS DISEASE}, volume = {7}, unique-id = {32961417}, abstract = {The precise neural underpinnings of face pareidolia in patients with Parkinson's disease (PD) remain unclear. We aimed to clarify face recognition network abnormalities associated with face pareidolia in such patients. Eighty-three patients with PD and 40 healthy controls were recruited in this study. Patients with PD were classified into pareidolia and nonpareidolia groups. Volumetric analyses revealed no significant differences between the pareidolia (n = 39) and nonpareidolia (n = 44) patient groups. We further observed decreased functional connectivity among regions of interest in the bilateral frontotemporal lobes in patients with pareidolia. Seed-based analysis using bilateral temporal fusiform cortices as seeds revealed significantly decreased connectivity with the bilateral inferior medial prefrontal cortices in the pareidolia group. Post hoc regression analysis further demonstrated that the severity of face pareidolia was negatively correlated with functional connectivity between the bilateral temporal fusiform and medial prefrontal cortices. Our findings suggest that top-down modulation of the face recognition network is impaired in patients with PD experiencing face pareidolia.}, year = {2021}, eissn = {2373-8057}, orcid-numbers = {Kajiyama, Yuta/0000-0001-7170-0758; Mihara, Masahito/0000-0001-5103-7784} } @article{MTMT:32172466, title = {Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds}, url = {https://m2.mtmt.hu/api/publication/32172466}, author = {Neumann, L. and Wulms, N. and Witte, V. and Spisák, Tamás and Zunhammer, M. and Bingel, U. and Schmidt-Wilcke, T.}, doi = {10.1002/hbm.25588}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {42}, unique-id = {32172466}, issn = {1065-9471}, abstract = {Pain thresholds vary considerably across individuals and are influenced by a number of behavioral, genetic and neurobiological factors. However, the neurobiological underpinnings that account for individual differences remain to be fully elucidated. In this study, we used voxel-based morphometry (VBM) and graph theory, specifically the local clustering coefficient (CC) based on resting-state connectivity, to identify brain regions, where regional gray matter volume and network properties predicted individual pain thresholds. As a main finding, we identified a cluster in the left posterior insular cortex (IC) reaching into the left parietal operculum, including the secondary somatosensory cortex, where both regional gray matter volume and the local CC correlated with individual pain thresholds. We also performed a resting-state functional connectivity analysis using the left posterior IC as seed region, demonstrating that connectivity to the pre- as well as postcentral gyrus bilaterally; that is, to the motor and primary sensory cortices were correlated with individual pain thresholds. To our knowledge, this is the first study that applied VBM in combination with voxel-based graph theory in the context of pain thresholds. The co-location of the VBM and the local CC cluster provide first evidence that both structure and function map to the same brain region while being correlated with the same behavioral measure; that is, pain thresholds. The study highlights the importance of the posterior IC, not only for pain perception in general, but also for the determination of individual pain thresholds. © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.}, keywords = {PAIN; ARTICLE; human; brain region; functional magnetic resonance imaging; pain threshold; theoretical study; structure activity relation; Graph theory; insula; plant seed; voxel-based morphometry; functional connectivity; resting-state fMRI; voxel based morphometry; Gray matter volume; primary somatosensory cortex; Cluster Coefficient; secondary somatosensory cortex; postcentral gyrus; parietal operculum}, year = {2021}, eissn = {1097-0193}, pages = {4896-4908} } @article{MTMT:32277269, title = {Combining transcranial magnetic stimulation with functional magnetic resonance imaging for probing and modulating neural circuits relevant to affective disorders}, url = {https://m2.mtmt.hu/api/publication/32277269}, author = {Oathes, Desmond J. and Balderston, Nicholas L. and Kording, Konrad P. and DeLuisi, Joseph A. and Perez, Gianna M. and Medaglia, John D. and Fan, Yong and Duprat, Romain J. and Satterthwaite, Theodore D. and Sheline, Yvette I. and Linn, Kristin A.}, doi = {10.1002/wcs.1553}, journal-iso = {WIRES COGN SCI}, journal = {WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE}, volume = {12}, unique-id = {32277269}, issn = {1939-5078}, abstract = {Combining transcranial magnetic stimulation (TMS) with functional magnetic resonance imaging offers an unprecedented tool for studying how brain networks interact in vivo and how repetitive trains of TMS modulate those networks among patients diagnosed with affective disorders. TMS compliments neuroimaging by allowing the interrogation of causal control among brain circuits. Together with TMS, neuroimaging can provide valuable insight into the mechanisms underlying treatment effects and downstream circuit communication. Here we provide a background of the method, review relevant study designs, consider methodological and equipment options, and provide statistical recommendations. We conclude by describing emerging approaches that will extend these tools into exciting new applications.This article is categorized under:Psychology > Emotion and MotivationPsychology > Theory and MethodsNeuroscience > Clinical Neuroscience}, keywords = {DEPRESSION; anxiety; FMRI; TMS; Affective disorders}, year = {2021}, eissn = {1939-5086} } @article{MTMT:32277264, title = {Resting fMRI-guided TMS results in subcortical and brain network modulation indexed by interleaved TMS/fMRI}, url = {https://m2.mtmt.hu/api/publication/32277264}, author = {Oathes, Desmond J. and Zimmerman, Jared P. and Duprat, Romain and Japp, Seda S. and Scully, Morgan and Rosenberg, Benjamin M. and Flounders, Matthew W. and Long, Hannah and Deluisi, Joseph A. and Elliott, Mark and Shandler, Gavriella and Shinohara, Russell T. and Linn, Kristin A.}, doi = {10.1007/s00221-021-06036-5}, journal-iso = {EXP BRAIN RES}, journal = {EXPERIMENTAL BRAIN RESEARCH}, volume = {239}, unique-id = {32277264}, issn = {0014-4819}, abstract = {Traditional non-invasive imaging methods describe statistical associations of functional co-activation over time. They cannot easily establish hierarchies in communication as done in non-human animals using invasive methods. Here, we interleaved functional MRI (fMRI) recordings with non-invasive transcranial magnetic stimulation (TMS) to map causal communication between the frontal cortex and subcortical target structures including the subgenual anterior cingulate cortex (sgACC) and the amygdala. Seed-based correlation maps from each participant's resting fMRI scan determined individual stimulation sites with high temporal correlation to targets for the subsequent TMS/fMRI session(s). The resulting TMS/fMRI images were transformed to quantile responses, so that regions of high-/low-quantile response corresponded to the areas of the brain with the most positive/negative evoked response relative to the global brain response. We then modeled the average quantile response for a given region (e.g., structure or network) to determine whether TMS was effective in the relative engagement of the downstream targets. Both the sgACC and amygdala were differentially influenced by TMS. Furthermore, we found that the sgACC distributed brain network was modulated in response to fMRI-guided TMS. The amygdala, but not its distributed network, also responded to TMS. Our findings suggest that individual targeting and brain response measurements reflect causal circuit mapping to the sgACC and amygdala in humans. These results set the stage to further map circuits in the brain and link circuit pathway integrity to clinical intervention outcomes, especially when the intervention targets specific pathways and networks as is possible with TMS.}, keywords = {DEPRESSION; anxiety; neuroimaging; FMRI; TMS}, year = {2021}, eissn = {1432-1106}, pages = {1165-1178} } @inproceedings{MTMT:32277266, title = {Intracortical microstimulation of somatosensory cortex generates evoked responses in motor cortex}, url = {https://m2.mtmt.hu/api/publication/32277266}, author = {Osborn, Luke E. and McMullen, David P. and Christie, Breanne P. and Kudela, Pawel and Thomas, Tessy M. and Thompson, Margaret C. and Nickl, Robert W. and Anaya, Manuel and Srihari, Sahana and Crone, Nathan E. and Wester, Brock A. and Celnik, Pablo A. and Cantarero, Gabriela L. and Tenore, Francesco V and Fifer, Matthew S.}, booktitle = {2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)}, doi = {10.1109/NER49283.2021.9441123}, unique-id = {32277266}, abstract = {The complex nature of neural connections throughout the cerebral cortex has led to broad interest in understanding cortical functional networks of tactile perception and sensorimotor integration. Cortico-cortical evoked potentials (CCEPs) can be used as physiological markers to study and map cerebral networks in the brain. In a human participant with bi-hemispheric microelectrode array implants in sensorimotor regions of the brain, we found that intracortical microstimulation (ICMS) of the primary somatosensory cortex can lead to evoked responses in the motor cortex in the same hemisphere, indicating connectivity between these sensorimotor regions. Single ICMS pulses were not consciously perceived, but elicited a rapid evoked potential approximately 20 ms after stimulus onset. Multi-pulse ICMS trains, perceived as tactile sensations in the thumb, sustained over an approximately 33 ms period, led to a delayed evoked response roughly 80 ms after stimulus onset. This work is important not only for better understanding the functional relationship between cortical areas, specifically somatosensory and motor cortices, but also to provide insight on pathways where neuromodulation techniques could be employed for rehabilitation or mitigation of sensorimotor neurodegenerative effects.}, year = {2021}, pages = {53-56} } @article{MTMT:32114098, title = {Focal lesions induce large-scale percolation of sleep-like intracerebral activity in awake humans}, url = {https://m2.mtmt.hu/api/publication/32114098}, author = {Russo, S. and Pigorini, A. and Mikulan, E. and Sarasso, S. and Rubino, A. and Zauli, F.M. and Parmigiani, S. and d'Orio, P. and Cattani, A. and Francione, S. and Tassi, L. and Bassetti, C.L.A. and Lo, Russo G. and Nobili, L. and Sartori, I. and Massimini, M.}, doi = {10.1016/j.neuroimage.2021.117964}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {234}, unique-id = {32114098}, issn = {1053-8119}, year = {2021}, eissn = {1095-9572} } @article{MTMT:32277268, title = {Novel Asleep Techniques for Intraoperative Assessment of Brain Connectivity}, url = {https://m2.mtmt.hu/api/publication/32277268}, author = {Sala, Francesco and Giampiccolo, Davide and Cattaneo, Luigi}, doi = {10.3389/fneur.2021.687030}, journal-iso = {FRONT NEUR}, journal = {FRONTIERS IN NEUROLOGY}, volume = {12}, unique-id = {32277268}, issn = {1664-2295}, keywords = {Brain Mapping; Intraoperative Neurophysiological Monitoring; Neuro-oncology; surgical; Cortico-cortical evoked potentials; Motor evoked potentials}, year = {2021}, eissn = {1664-2295} } @article{MTMT:32277261, title = {Theta-burst stimulation entrains frequency-specific oscillatory responses}, url = {https://m2.mtmt.hu/api/publication/32277261}, author = {Solomon, Ethan A. and Sperling, Michael R. and Sharan, Ashwini D. and Wanda, Paul A. and Levy, Deborah F. and Lyalenko, Anastasia and Pedisich, Isaac and Rizzuto, Daniel S. and Kahana, Michael J.}, doi = {10.1016/j.brs.2021.08.014}, journal-iso = {BRAIN STIMUL}, journal = {BRAIN STIMULATION}, volume = {14}, unique-id = {32277261}, issn = {1935-861X}, abstract = {Background: Brain stimulation has emerged as a powerful tool in human neuroscience, becoming integral to next-generation psychiatric and neurologic therapeutics. Theta-burst stimulation (TBS), in which electrical pulses are delivered in rhythmic bouts of 3-8 Hz, seeks to recapitulate neural activity seen endogenously during cognitive tasks. A growing literature suggests that TBS can be used to alter or enhance cognitive processes, but little is known about how these stimulation events influence underlying neural activity. Objective: Our study sought to investigate the effect of direct electrical TBS on mesoscale neural activity in humans by asking (1) whether TBS evokes persistent theta oscillations in cortical areas, (2) whether these oscillations occur at the stimulated frequency, and (3) whether stimulation events propagate in a manner consistent with underlying functional and structural brain architecture. Methods: We recruited 20 neurosurgical epilepsy patients with indwelling electrodes and delivered direct cortical TBS at varying locations and frequencies. Simultaneous iEEG was recorded from non stimulated electrodes and analyzed to understand how TBS influences mesoscale neural activity. Results: We found that TBS rapidly evoked theta rhythms in widespread brain regions, preferentially at the stimulation frequency, and that these oscillations persisted for hundreds of milliseconds post stimulation offset. Furthermore, the functional connectivity between recording and stimulation sites predicted the strength of theta response, suggesting that underlying brain architecture guides the flow of stimulation through the brain. Conclusions: By demonstrating that cortical TBS induces frequency-specific oscillatory responses, our results suggest this technology can be used to directly and predictably influence the activity of cognitively-relevant brain networks. (c) 2021 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).}, keywords = {OSCILLATIONS; functional connectivity; Intracranial EEG; LFP; theta burst stimulation}, year = {2021}, eissn = {1876-4754}, pages = {1271-1284}, orcid-numbers = {Lyalenko, Anastasia/0000-0001-6598-773X} } @article{MTMT:32277267, title = {MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation}, url = {https://m2.mtmt.hu/api/publication/32277267}, author = {Sun, Kaijia and Wang, Haixiang and Bai, Yunxian and Zhou, Wenjing and Wang, Liang}, doi = {10.3389/fnins.2021.652841}, journal-iso = {FRONT NEUROSCI-SWITZ}, journal = {FRONTIERS IN NEUROSCIENCE}, volume = {15}, unique-id = {32277267}, issn = {1662-4548}, abstract = {Propose Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single pulse electrical stimulation (SPES), has been widely used to map the normal and abnormal brain effective network. However, automated processing of CCEP datasets and visualization of connectivity results remain challenging for researchers and clinicians. In this study, we develop a Matlab toolbox named MRIES (Mapping the Responses to Intracranial Electrical Stimulation) to automatically process CCEP data and visualize the connectivity results. Method The MRIES integrates the processing pipeline of the CCEP datasets and various methods for connectivity calculation based on low- and high-frequency signals with stimulation artifacts removed. The connectivity matrices are saved in different folders for visualization. Different visualization patterns (connectivity matrix, circle map, surface map, and volume map) are also integrated to the graphical user interface (GUI), which makes it easy to intuitively display and compare different connectivity measurements. Furthermore, one sample CCEP data set collected from eight epilepsy patients is used to validate the MRIES toolbox. Result We show the GUI and visualization functions of MRIES using one example CCEP data that has been described in a complete tutorial. We applied this toolbox to the sample CCEP data set to investigate the direct connectivity between the medial temporal lobe and the insular cortex. We find bidirectional connectivity between MTL and insular that are consistent with the findings of previous studies. Conclusion MRIES has a friendly GUI and integrates the full processing pipeline of CCEP data and various visualization methods. The MRIES toolbox, tutorial, and example data can be freely downloaded. As an open-source package, MRIES is expected to improve the reproducibility of CCEP findings and facilitate clinical translation.}, keywords = {EPILEPSY; electrical stimulation; functional connectivity; Cortico-cortical evoked potential; SEEG}, year = {2021}, eissn = {1662-453X} } @article{MTMT:32961416, title = {Temporal order of signal propagation within and across intrinsic brain networks}, url = {https://m2.mtmt.hu/api/publication/32961416}, author = {Veit, Mike J. and Kucyi, Aaron and Hu, Wenhan and Zhang, Chao and Zhao, Baotian and Guo, Zhihao and Yang, Bowen and Sava-Segal, Clara and Perry, Claire and Zhang, Jianguo and Zhang, Kai and Parvizi, Josef}, doi = {10.1073/pnas.2105031118}, journal-iso = {P NATL ACAD SCI USA}, journal = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, volume = {118}, unique-id = {32961416}, issn = {0027-8424}, abstract = {We studied the temporal dynamics of activity within and across functional MRI (fMRI)-derived nodes of intrinsic resting-state networks of the human brain using intracranial electroencephalography (iEEG) and repeated single-pulse electrical stimulation (SPES) in neurosurgical subjects implanted with intracranial electrodes. We stimulated and recorded from 2,133 and 2,372 sites, respectively, in 29 subjects. We found that N1 and N2 segments of the evoked responses are associated with intra- and internetwork communications, respectively. In a separate cognitive experiment, evoked electrophysiological responses to visual target stimuli occurred with less temporal separation across pairs of electrodes that were located within the same fMRI-defined resting-state networks compared with those located across different resting-state networks. Our results suggest intranetwork prior to internetwork information processing at the subsecond timescale.}, keywords = {human; Event related potentials; Intracranial EEG; CCEP; gradual-onset continuous performance task}, year = {2021}, eissn = {1091-6490}, orcid-numbers = {Zhao, Baotian/0000-0003-0920-6825; Guo, Zhihao/0000-0002-4713-1337; Sava-Segal, Clara/0000-0002-3010-3858; Perry, Claire/0000-0002-9324-0518} } @article{MTMT:32277271, title = {Spatial-Temporal Functional Mapping Combined With Cortico-Cortical Evoked Potentials in Predicting Cortical Stimulation Results}, url = {https://m2.mtmt.hu/api/publication/32277271}, author = {Wang, Yujing and Hays, Mark A. and Coogan, Christopher and Kang, Joon Y. and Flinker, Adeen and Arya, Ravindra and Korzeniewska, Anna and Crone, Nathan E.}, doi = {10.3389/fnhum.2021.661976}, journal-iso = {FRONT HUM NEUROSCI}, journal = {FRONTIERS IN HUMAN NEUROSCIENCE}, volume = {15}, unique-id = {32277271}, issn = {1662-5161}, abstract = {Functional human brain mapping is commonly performed during invasive monitoring with intracranial electroencephalographic (iEEG) electrodes prior to resective surgery for drug- resistant epilepsy. The current gold standard, electrocortical stimulation mapping (ESM), is time -consuming, sometimes elicits pain, and often induces after discharges or seizures. Moreover, there is a risk of overestimating eloquent areas due to propagation of the effects of stimulation to a broader network of language cortex. Passive iEEG spatial-temporal functional mapping (STFM) has recently emerged as a potential alternative to ESM. However, investigators have observed less correspondence between STFM and ESM maps of language than between their maps of motor function. We hypothesized that incongruities between ESM and STFM of language function may arise due to propagation of the effects of ESM to cortical areas having strong effective connectivity with the site of stimulation. We evaluated five patients who underwent invasive monitoring for seizure localization, whose language areas were identified using ESM. All patients performed a battery of language tasks during passive iEEG recordings. To estimate the effective connectivity of stimulation sites with a broader network of task-activated cortical sites, we measured cortico-cortical evoked potentials (CCEPs) elicited across all recording sites by single-pulse electrical stimulation at sites where ESM was performed at other times. With the combination of high gamma power as well as CCEPs results, we trained a logistic regression model to predict ESM results at individual electrode pairs. The average accuracy of the classifier using both STFM and CCEPs results combined was 87.7%, significantly higher than the one using STFM alone (71.8%), indicating that the correspondence between STFM and ESM results is greater when effective connectivity between ESM stimulation sites and task-activated sites is taken into consideration. These findings, though based on a small number of subjects to date, provide preliminary support for the hypothesis that incongruities between ESM and STFM may arise in part from propagation of stimulation effects to a broader network of cortical language sites activated by language tasks, and suggest that more studies, with larger numbers of patients, are needed to understand the utility of both mapping techniques in clinical practice.}, keywords = {Effective connectivity; Cortico-cortical evoked potentials; Electrocortical stimulation; language functional mapping; high gamma activation}, year = {2021}, eissn = {1662-5161}, orcid-numbers = {Flinker, Adeen/0000-0003-1247-1283} } @article{MTMT:32277262, title = {What have we really learned from functional connectivity in clinical populations?}, url = {https://m2.mtmt.hu/api/publication/32277262}, author = {Zhang, Jiahe and Kucyi, Aaron and Raya, Jovicarole and Nielsen, Ashley N. and Nomi, Jason S. and Damoiseaux, Jessica S. and Greene, Deanna J. and Horovitz, Silvina G. and Uddin, Lucina Q. and Whitfield-Gabrieli, Susan}, doi = {10.1016/j.neuroimage.2021.118466}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {242}, unique-id = {32277262}, issn = {1053-8119}, abstract = {Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to the promise of the approach across conceptual, technical, and practical levels. With an already vast and steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, and neurological diseases and disorders in which FC is a primary measure, we aim here to provide a high-level synthesis of major concepts that have arisen from FC findings in a manner that cuts across different clinical conditions and sheds light on overarching principles. We highlight that FC has allowed us to discover the ubiquity of intrinsic functional networks across virtually all brains and clarify typical patterns of neurodevelopment over the lifespan. This understanding of typical FC maturation with age has provided important benchmarks against which to evaluate divergent maturation in early life and degeneration in late life. This in turn has led to the important insight that many clinical conditions are associated with complex, distributed, network-level changes in the brain, as opposed to solely focal abnormalities. We further emphasize the important role that FC studies have played in supporting a dimensional approach to studying transdiagnostic clinical symptoms and in enhancing the multimodal characterization and prediction of the trajectory of symptom progression across conditions. We highlight the unprecedented opportunity offered by FC to probe functional abnormalities in clinical conditions where brain function could not be easily studied otherwise, such as in disorders of consciousness. Lastly, we suggest high priority areas for future research and acknowledge critical barriers associated with the use of FC methods, particularly those related to artifact removal, data denoising and feasibility in clinical contexts.}, keywords = {mental health; BRAIN NETWORKS; RESTING STATE FMRI; connectomics; Intrinsic functional connectivity}, year = {2021}, eissn = {1095-9572} } @article{MTMT:31422816, title = {Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain}, url = {https://m2.mtmt.hu/api/publication/31422816}, author = {Fox, Kieran C. R. and Shi, Lin and Baek, Sori and Raccah, Omri and Foster, Brett L. and Saha, Srijani and Margulies, Daniel S. and Kucyi, Aaron and Parvizi, Josef}, doi = {10.1038/s41562-020-0910-1}, journal-iso = {NAT HUM BEHAV}, journal = {NATURE HUMAN BEHAVIOUR}, volume = {e4}, unique-id = {31422816}, issn = {2397-3374}, abstract = {Intracranial brain stimulation in humans elicits a large variety of perceptual, motor and cognitive effects. Fox et al. show strong links between the distribution and content of these responses and the brain's intrinsic network architecture.Intracranial electrical stimulation (iES) of the human brain has long been known to elicit a remarkable variety of perceptual, motor and cognitive effects, but the functional-anatomical basis of this heterogeneity remains poorly understood. We conducted a whole-brain mapping of iES-elicited effects, collecting first-person reports following iES at 1,537 cortical sites in 67 participants implanted with intracranial electrodes. We found that intrinsic network membership and the principal gradient of functional connectivity strongly predicted the type and frequency of iES-elicited effects in a given brain region. While iES in unimodal brain networks at the base of the cortical hierarchy elicited frequent and simple effects, effects became increasingly rare, heterogeneous and complex in heteromodal and transmodal networks higher in the hierarchy. Our study provides a comprehensive exploration of the relationship between the hierarchical organization of intrinsic functional networks and the causal modulation of human behaviour and experience with iES.}, year = {2020}, eissn = {2397-3374}, pages = {1039-1060}, orcid-numbers = {Raccah, Omri/0000-0002-3393-581X} } @article{MTMT:31689181, title = {Epileptogenic network of focal epilepsies mapped with cortico-cortical evoked potentials}, url = {https://m2.mtmt.hu/api/publication/31689181}, author = {Guo, Zhi-hao and Zhao, Bao-tian and Toprani, Sheela and Hu, Wen-han and Zhang, Chao and Wang, Xiu and Sang, Lin and Ma, Yan-shan and Shao, Xiao-qiu and Razavi, Babak and Parvizi, Josef and Fisher, Robert and Zhang, Jian-guo and Zhang, Kai}, doi = {10.1016/j.clinph.2020.08.012}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {131}, unique-id = {31689181}, issn = {1388-2457}, abstract = {Objective: The goal of this study was to investigate the spatial extent and functional organization of the epileptogenic network through cortico-cortical evoked potentials (CCEPs) in patients being evaluated with intracranial stereoelectroencephalography.Methods: Weretrospectively included 25 patients. Wedivided the recorded sites into three regions: epileptogenic zone (EZ); propagation zone (PZ); and noninvolved zone (NIZ). The root mean square of the amplitudes was calculated to reconstruct effective connectivity network. Wealso analyzed the N1/N2 amplitudes to explore the responsiveness influenced by epileptogenicity. Prognostic analysis was performed by comparing intra-region and inter-region connectivity between seizure-free and non-seizure-free groups.Results: Our results confirmed that stimulation of the EZ caused the strongest responses on other sites within and outside the EZ. Moreover, wefound a hierarchical connectivity pattern showing the highest connectivity strength within EZ, and decreasing connectivity gradient from EZ, PZ to NIZ. Prognostic analysis indicated a stronger intra-EZ connection in the seizure-free group.Conclusion: The EZ showed highest excitability and dominantly influenced other regions. Quantitative CCEPs can be useful in mapping epileptic networks and predicting surgical outcome.Significance: The generated computational connectivity model may enhance our understanding of epileptogenic networks and provide useful information for surgical planning and prognosis prediction. (C) 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.}, keywords = {focal epilepsy; Effective connectivity; Epileptogenic network; CCEPs}, year = {2020}, eissn = {1872-8952}, pages = {2657-2666} } @article{MTMT:31689184, title = {Engagement of cortico-cortical and cortico-subcortical networks in a patient with epileptic spasms: An integrated neurophysiological study}, url = {https://m2.mtmt.hu/api/publication/31689184}, author = {Inoue, Takeshi and Kobayashi, Katsuya and Matsumoto, Riki and Inouchi, Morito and Togo, Masaya and Togawa, Jumpei and Usami, Kiyohide and Shimotake, Akihiro and Matsuhashi, Masao and Kikuchi, Takayuki and Yoshida, Kazumichi and Kawawaki, Hisashi and Sawamoto, Nobukatsu and Kunieda, Takeharu and Miyamoto, Susumu and Takahashi, Ryosuke and Ikeda, Akio}, doi = {10.1016/j.clinph.2020.04.167}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {131}, unique-id = {31689184}, issn = {1388-2457}, abstract = {Objective: We aimed to delineate the engagement of cortico-cortical and cortico-subcortical networks in the generation of epileptic spasms (ES) using integrated neurophysiological techniques.Methods: Seventeen-year-old male patient with intractable ES underwent chronic subdural electrode implantation for presurgical evaluation. Networks were evaluated in ictal periods using high-frequency oscillation (HFO) analysis and in interictal periods using magnetoencephalography (MEG) and simultaneous electroencephalography, and functional magnetic resonance imaging (EEG-fMRI). Cortico-cortical evoked potentials (CCEPs) were recorded to trace connections among the networks.Results: Ictal HFO revealed a network comprising multilobar cortical regions (frontal, parietal, and temporal), but sparing the positive motor area. Interictally, MEG and EEG-fMRI revealed spike-and-wave-related activation in these cortical regions. Analysis of CCEPs provided evidence of connectivity within the cortico-cortical network. Additionally, EEG-fMRI results indicate the involvement of subcortical structures, such as bilateral thalamus (predominantly right) and midbrain.Conclusions: In this case study, integrated neurophysiological techniques provided converging evidence for the involvement of a cortico-cortical network (sparing the positive motor area) and a cortico-subcortical network in the generation of ES in the patient.Significance: Cortico-cortical and cortico-subcortical pathways, with the exception of the direct descending corticospinal pathway from the positive motor area, may play important roles in the generation of ES. (C) 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.}, keywords = {Cortico-cortical evoked potential; high frequency oscillation; epileptic spasm; EEG with functional MRI (EEG-fMRI)}, year = {2020}, eissn = {1872-8952}, pages = {2255-2264} } @article{MTMT:31689179, title = {Converging Resting State Networks Unravels Potential Remote Effects of Transcranial Magnetic Stimulation for Major Depression}, url = {https://m2.mtmt.hu/api/publication/31689179}, author = {Ishida, Takuya and Dierks, Thomas and Strik, Werner and Morishima, Yosuke}, doi = {10.3389/fpsyt.2020.00836}, journal-iso = {FRONT PSYCHIATRY}, journal = {FRONTIERS IN PSYCHIATRY}, volume = {11}, unique-id = {31689179}, issn = {1664-0640}, abstract = {Despite being a commonly used protocol to treat major depressive disorder (MDD), the underlying mechanism of repetitive transcranial magnetic stimulation (rTMS) on dorsolateral prefrontal cortex (DLPFC) remains unclear. In the current study, we investigated the resting-state fMRI data of 100 healthy subjects by exploring three overlapping functional networks associated with the psychopathologically MDD-related areas (the nucleus accumbens, amygdala, and ventromedial prefrontal cortex). Our results showed that these networks converged at the bilateral DLPFC, which suggested that rTMS over DLPFC might improve MDD by remotely modulating the MDD-related areas synergistically. Additionally, they functionally converged at the DMPFC and bilateral insula which are known to be associated with MDD. These two areas could also be potential targets for rTMS treatment. Dynamic causal modelling (DCM) and Granger causality analysis (GCA) revealed that all pairwise connections among bilateral DLPFC, DMPFC, bilateral insula, and three psychopathologically MDD-related areas contained significant causality. The DCM results also suggested that most of the functional interactions between MDD-related areas and bilateral DLPFC, DMPFC, and bilateral insula can predominantly be explained by the effective connectivity from the psychopathologically MDD-related areas to the rTMS stimulation sites. Finally, we found the conventional functional connectivity to be a more representative measure to obtain connectivity parameters compared to GCA and DCM analysis. Our research helped inspecting the convergence of the functional networks related to a psychiatry disorder. The results identified potential targets for brain stimulation treatment and contributed to the optimization of patient-specific brain stimulation protocols.}, keywords = {Repetitive transcranial magnetic stimulation (rTMS); MAJOR DEPRESSIVE DISORDER; functional connectivity; Dynamic Causal Modeling (DCM); Resting-state functional magnetic resonance imaging (fMRI); Granger causality analysis (GCA)}, year = {2020}, eissn = {1664-0640} } @article{MTMT:31686218, title = {A systematic exploration of parameters affecting evoked intracranial potentials in patients with epilepsy}, url = {https://m2.mtmt.hu/api/publication/31686218}, author = {Kundu, Bornali and Davis, Tyler S. and Philip, Brian and Smith, Elliot H. and Arain, Amir and Peters, Angela and Newman, Blake and Butson, Christopher R. and Rolston, John D.}, doi = {10.1016/j.brs.2020.06.002}, journal-iso = {BRAIN STIMUL}, journal = {BRAIN STIMULATION}, volume = {13}, unique-id = {31686218}, issn = {1935-861X}, abstract = {Background: Brain activity is constrained by and evolves over a network of structural and functional connections. Corticocortical evoked potentials (CCEPs) have been used to measure this connectivity and to discern brain areas involved in both brain function and disease. However, how varying stimulation parameters influences the measured CCEP across brain areas has not been well characterized. Objective: To better understand the factors that influence the amplitude of the CCEPs as well as evoked gamma-band power (70-150 Hz) resulting from single-pulse stimulation via cortical surface and depth electrodes. Methods: CCEPs from 4370 stimulation-response channel pairs were recorded across a range of stimulation parameters and brain regions in 11 patients undergoing long-term monitoring for epilepsy. A generalized mixed-effects model was used to model cortical response amplitudes from 5 to 100 ms post-stimulation. Results: Stimulation levels <5.5 mA generated variable CCEPs with low amplitude and reduced spatial spread. Stimulation at >= 5.5 mA yielded a reliable and maximal CCEP across stimulation-response pairs over all regions. These findings were similar when examining the evoked gamma-band power. The amplitude of both measures was inversely correlated with distance. CCEPs and evoked gamma power were largest when measured in the hippocampus compared with other areas. Larger CCEP size and evoked gamma power were measured within the seizure onset zone compared with outside this zone.Conclusion: These results will help guide future stimulation protocols directed at quantifying network connectivity across cognitive and disease states. (C) 2020 The Authors. Published by Elsevier Inc.}, keywords = {GAMMA; POWER; Stereoelectroencephalography (SEEG); Corticocortical evoked potential (CCEP); Single-pulse electrical stimulation (SPES)}, year = {2020}, eissn = {1876-4754}, pages = {1232-1244} } @article{MTMT:31239980, title = {Questions and controversies in the study of time-varying functional connectivity in resting fMRI}, url = {https://m2.mtmt.hu/api/publication/31239980}, author = {Lurie, Daniel J. and Kessler, Daniel and Bassett, Danielle S. and Betzel, Richard F. and Breakspear, Michael and Kheilholz, Shella and Kucyi, Aaron and Liegeois, Raphael and Lindquist, Martin A. and McIntosh, Anthony Randal and Poldrack, Russell A. and Shine, James M. and Thompson, William Hedley and Bielczyk, Natalia Z. and Douw, Linda and Kraft, Dominik and Miller, Robyn L. and Muthuraman, Muthuraman and Pasquini, Lorenzo and Razi, Adeel and Vidaurre, Diego and Xie, Hua and Calhoun, Vince D.}, doi = {10.1162/netn_a_00116}, journal-iso = {NETW NEUROSCI}, journal = {NETWORK NEUROSCIENCE}, volume = {4}, unique-id = {31239980}, issn = {2472-1751}, keywords = {COGNITIVE CONTROL; FMRI; TEST-RETEST RELIABILITY; rest; INDIVIDUAL-DIFFERENCES; functional connectivity; BRAIN NETWORKS; BRAIN NETWORKS; BRAIN DYNAMICS; Default mode; Dynamic connectivity; whole-brain; CONFOUND REGRESSION STRATEGIES; STATE FMRI}, year = {2020}, eissn = {2472-1751}, pages = {30-69}, orcid-numbers = {Kessler, Daniel/0000-0003-2052-025X; Breakspear, Michael/0000-0003-4943-3969} } @article{MTMT:31685308, title = {Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study}, url = {https://m2.mtmt.hu/api/publication/31685308}, author = {Nakae, Takuro and Matsumoto, Riki and Kunieda, Takeharu and Arakawa, Yoshiki and Kobayashi, Katsuya and Shimotake, Akihiro and Yamao, Yukihiro and Kikuchi, Takayuki and Aso, Toshihiko and Matsuhashi, Masao and Yoshida, Kazumichi and Ikeda, Akio and Takahashi, Ryosuke and Ralph, Matthew A. Lambon and Miyamoto, Susumu}, doi = {10.1093/cercor/bhaa065}, journal-iso = {CEREB CORTEX}, journal = {CEREBRAL CORTEX}, volume = {30}, unique-id = {31685308}, issn = {1047-3211}, abstract = {In the dual-stream model of language processing, the exact connectivity of the ventral stream to the anterior temporal lobe remains elusive. To investigate the connectivity between the inferior frontal gyrus (IFG) and the lateral part of the temporal and parietal lobes, we integrated spatiotemporal profiles of cortico-cortical evoked potentials (CCEPs) recorded intraoperatively in 14 patients who had undergone surgical resection for a brain tumor or epileptic focus. Four-dimensional visualization of the combined CCEP data showed that the pars opercularis (Broca's area) is connected to the posterior temporal cortices and the supramarginal gyrus, whereas the pars orbitalis is connected to the anterior lateral temporal cortices and angular gyrus. Quantitative topographical analysis of CCEP connectivity confirmed an anterior-posterior gradient of connectivity from IFG stimulus sites to the temporal response sites. Reciprocality analysis indicated that the anterior part of the IFG is bidirectionally connected to the temporal or parietal area. This study shows that each IFG subdivision has different connectivity to the temporal lobe with an anterior-posterior gradient and supports the classical connectivity concept of Dejerine; that is, the frontal lobe is connected to the temporal lobe through the arcuate fasciculus and also a double fan-shaped structure anchored at the limen insulae.}, keywords = {Cortico-cortical evoked potential; 4D visualization; dual-stream language model; fronto-temporal radiation}, year = {2020}, eissn = {1460-2199}, pages = {4633-4650} } @article{MTMT:31295717, title = {In vivo-assessment of the human temporal network: Evidence for asymmetrical effective connectivity}, url = {https://m2.mtmt.hu/api/publication/31295717}, author = {Novitskaya, Y. and Dümpelmann, M. and Vlachos, A. and Reinacher, P.C. and Schulze-Bonhage, A.}, doi = {10.1016/j.neuroimage.2020.116769}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {214}, unique-id = {31295717}, issn = {1053-8119}, keywords = {Adult; Adolescent; Female; Middle Aged; Male; hippocampus; EPILEPSY; ARTICLE; human; priority journal; cohort analysis; nuclear magnetic resonance imaging; evoked cortical response; Parahippocampal Gyrus; clinical article; Temporal Lobe; Young Adult; in vivo study; clinical assessment; brain asymmetry; ASYMMETRY; nerve cell network; functional connectivity; spatiotemporal analysis; Effective connectivity; CCEP; neuromuscular electrical stimulation; Human temporal lobe; Reciprocal connectivity; amygdala}, year = {2020}, eissn = {1095-9572} } @article{MTMT:31422817, title = {Comparing connectivity metrics in cortico-cortical evoked potentials using synthetic cortical response patterns}, url = {https://m2.mtmt.hu/api/publication/31422817}, author = {Prime, David and Woolfe, Matthew and Rowlands, David and O'Keefe, Steven and Dionisio, Sasha}, doi = {10.1016/j.jneumeth.2019.108559}, journal-iso = {J NEUROSCI METH}, journal = {JOURNAL OF NEUROSCIENCE METHODS}, volume = {334}, unique-id = {31422817}, issn = {0165-0270}, abstract = {Background: Cortico-Cortical Evoked Potentials (CCEPs) are a novel low frequency stimulation method used for brain mapping during intracranial epilepsy investigations. Only a handful of metrics have been applied to CCEP data to infer connectivity, and no comparison as to which is best has been performed.New method: We implement a novel method which involved superimposing synthetic cortical responses onto stereoelectroencephalographic (SEEG) data, and use this to compare several metric's ability to detect the simulated patterns. In this we compare two commonly employed metrics currently used in CCEP analysis against eight time series similarity metrics (TSSMs), which have been widely used in machine learning and pattern matching applications.Results: Root Mean Square (RMS), a metric commonly employed in CCEP analysis, was sensitive to a wide variety of response patterns, but insensitive to simulated epileptiform patterns. Autoregressive (AR) coefficients calculated by Burg's method were also sensitive to a wide range of patterns, but were extremely sensitive to epileptiform patterns. Other metrics which employed elastic warping techniques were less sensitive to the simulated response patterns. Comparison with existing methods: Our study is the first to compare CCEP connectivity metrics against one-another. Our results found that RMS, which has been used in many CCEP studies previously, was the most sensitive metric across a wide range of patterns.Conclusions: Our novel method showed that RMS is a robust and sensitive measure, validating much of the findings of the SEEG-CCEP literature to date. Autoregressive coefficients may also be a useful metric to investigate epileptic networks.}, keywords = {Signal processing; Pattern matching; Similarity metrics; Effective connectivity; root mean square; Cortico-cortical evoked potentials; CCEP; stereo-EEG}, year = {2020}, eissn = {1872-678X}, orcid-numbers = {Prime, David/0000-0003-4034-0977; Woolfe, Matthew/0000-0002-6504-953X; Dionisio, Sasha/0000-0003-0870-6094} } @article{MTMT:31689183, title = {A Causal Network Analysis of Neuromodulation in the Mood Processing Network}, url = {https://m2.mtmt.hu/api/publication/31689183}, author = {Qiao, Shaoyu and Sedillo, J. Isaac and Brown, Kevin A. and Ferrentino, Breonna and Pesaran, Bijan}, doi = {10.1016/j.neuron.2020.06.012}, journal-iso = {NEURON}, journal = {NEURON}, volume = {107}, unique-id = {31689183}, issn = {0896-6273}, abstract = {Neural decoding and neuromodulation technologies hold great promise for treating mood and other brain disorders in next-generation therapies that manipulate functional brain networks. Here we perform a novel causal network analysis to decode multiregional communication in the primate mood processing network and determine how neuromodulation, short-burst tetanic microstimulation (sbTetMS), alters multiregional network communication. The causal network analysis revealed a mechanism of network excitability that regulates when a sender stimulation site communicates with receiver sites. Decoding network excitability from neural activity at modulator sites predicted sender-receiver communication, whereas sbTetMS neuromodulation temporarily disrupted sender-receiver communication. These results reveal specific network mechanisms of multiregional communication and suggest a new generation of brain therapies that combine neural decoding to predict multiregional communication with neuromodulation to disrupt multiregional communication.}, year = {2020}, eissn = {1097-4199}, pages = {972-+} } @article{MTMT:31422815, title = {Intraoperative Electrophysiologic Mapping of Medial Frontal Motor Areas and Functional Outcomes}, url = {https://m2.mtmt.hu/api/publication/31422815}, author = {Shibata, Sumiya and Yamao, Yukihiro and Kunieda, Takeharu and Inano, Rika and Nakae, Takuro and Nishida, Sei and Inada, Taku and Takahashi, Yuki and Kikuchi, Takayuki and Arakawa, Yoshiki and Yoshida, Kazumichi and Matsumoto, Riki and Ikeda, Akio and Mima, Tatsuya and Miyamoto, Susumu}, doi = {10.1016/j.wneu.2020.02.129}, journal-iso = {WORLD NEUROSURG}, journal = {WORLD NEUROSURGERY}, volume = {138}, unique-id = {31422815}, issn = {1878-8750}, year = {2020}, eissn = {1878-8769}, pages = {E389-E404}, orcid-numbers = {Yamao, Yukihiro/0000-0002-9615-2353; Matsumoto, Riki/0000-0003-3985-9210; Mima, Tatsuya/0000-0001-7787-4855} } @article{MTMT:31422819, title = {Measuring the electrophysiological effects of direct electrical stimulation after awake brain surgery}, url = {https://m2.mtmt.hu/api/publication/31422819}, author = {Vincent, M. A. and Bonnetblanc, F. and Mandonnet, E. and Boyer, A. and Duffau, H. and Guiraud, D.}, doi = {10.1088/1741-2552/ab5cdd}, journal-iso = {J NEURAL ENG}, journal = {JOURNAL OF NEURAL ENGINEERING}, volume = {17}, unique-id = {31422819}, issn = {1741-2560}, abstract = {Objective. Direct electrical stimulation (DES) at 60 Hz is used to perform real-time functional mapping of the brain, and guide tumour resection during awake neurosurgery. Nonetheless, the electrophysiological effects of DES remain largely unknown, both locally and remotely. Approach. In this study, we lowered the DES frequency to 1-10 Hz and we used a differential recording mode of electro-corticographic (ECoG) signals to improve the focality with a simple algorithm to remove the artefacts due to the response of the acquisition chain. Main results. Doing so, we were able to observe different components in the evoked potentials triggered by simulating the cortex or the subcortical white matter pathways near the recording electrodes and by stimulating the cortex remotely from the recording site. More particularly, P0 and N1 components were repeatedly observed on raw ECoG signals without the need to average the data. Significance. This new methodology is important to probe the electrophysiological states and the connectivity of the brain in vivo and in real time, namely to perform electrophysiological brain mapping on human patients operated in the neurosurgical room and to better understand the electrophysiological spreading of DES.}, keywords = {electrocorticography; Evoked potential; direct electrical stimulation; awake brain surgery}, year = {2020}, eissn = {1741-2552} } @article{MTMT:30388857, title = {A quantitative method for evaluating cortical responses to electrical stimulation}, url = {https://m2.mtmt.hu/api/publication/30388857}, author = {Crowther, Lawrence J. and Brunner, Peter and Kapeller, Christoph and Guger, Christoph and Kamada, Kyousuke and Bunch, Marjorie E. and Frawley, Bridget K. and Lynch, Timothy M. and Ritaccio, Anthony L. and Schalk, Gerwin}, doi = {10.1016/j.jneumeth.2018.09.034}, journal-iso = {J NEUROSCI METH}, journal = {JOURNAL OF NEUROSCIENCE METHODS}, volume = {311}, unique-id = {30388857}, issn = {0165-0270}, abstract = {Background: Electrical stimulation of the cortex using subdurally implanted electrodes can causally reveal structural connectivity by eliciting cortico-cortical evoked potentials (CCEPs). While many studies have demonstrated the potential value of CCEPs, the methods to evaluate them were often relatively subjective, did not consider potential artifacts, and did not lend themselves to systematic scientific investigations.}, keywords = {electrocorticography; Connectivity; electrical stimulation; Cortico-cortical evoked potentials}, year = {2019}, eissn = {1872-678X}, pages = {67-75}, orcid-numbers = {Brunner, Peter/0000-0002-2588-2754} } @article{MTMT:31021979, title = {Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder}, url = {https://m2.mtmt.hu/api/publication/31021979}, author = {Etkin, Amit and Maron-Katz, Adi and Wu, Wei and Fonzo, Gregory A. and Huemer, Julia and Vertes, Petra E. and Patenaude, Brian and Richiardi, Jonas and Goodkind, Madeleine S. and Keller, Corey J. and Ramos-Cejudo, Jaime and Zaiko, Yevgeniya and Peng, Kathy K. and Shpigel, Emmanuel and Longwell, Parker and Toll, Russ T. and Thompson, Allison and Zack, Sanno and Gonzalez, Bryan and Edelstein, Raleigh and Chen, Jingyun and Akingbade, Irene and Weiss, Elizabeth and Hart, Roland and Mann, Silas and Durkin, Kathleen and Baete, Steven H. and Boada, Fernando E. and Genfi, Afia and Autea, Jillian and Newman, Jennifer and Oathes, Desmond J. and Lindley, Steven E. and Abu-Amara, Duna and Arnow, Bruce A. and Crossley, Nicolas and Hallmayer, Joachim and Fossati, Silvia and Rothbaum, Barbara O. and Marmar, Charles R. and Bullmore, Edward T. and O'Hara, Ruth}, doi = {10.1126/scitranslmed.aal3236}, journal-iso = {SCI TRANSL MED}, journal = {SCIENCE TRANSLATIONAL MEDICINE}, volume = {11}, unique-id = {31021979}, issn = {1946-6234}, abstract = {A mechanistic understanding of the pathology of psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated whether leveraging individual differences in information-processing impairments in patients with post-traumatic stress disorder (PTSD) could reveal phenotypes within the disorder. We found that a subgroup of patients with PTSD from two independent cohorts displayed both aberrant functional connectivity within the ventral attention network (VAN) as revealed by functional magnetic resonance imaging (fMRI) neuroimaging and impaired verbal memory on a word list learning task. This combined phenotype was not associated with differences in symptoms or comorbidities, but nonetheless could be used to predict a poor response to psychotherapy, the best-validated treatment for PTSD. Using concurrent focal noninvasive transcranial magnetic stimulation and electroencephalography, we then identified alterations in neural signal flow in the VAN that were evoked by direct stimulation of that network. These alterations were associated with individual differences in functional fMRI connectivity within the VAN. Our findings define specific neurobiological mechanisms in a subgroup of patients with PTSD that could contribute to the poor response to psychotherapy.}, year = {2019}, eissn = {1946-6242}, orcid-numbers = {Vertes, Petra E./0000-0002-0992-3210; Chen, Jingyun/0000-0001-7558-6390; Crossley, Nicolas/0000-0002-3060-656X; Fossati, Silvia/0000-0002-2047-222X} } @article{MTMT:31021977, title = {Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?}, url = {https://m2.mtmt.hu/api/publication/31021977}, author = {Fan, Zhen and Chen, Xiao and Qi, Zeng-Xin and Li, Le and Liu, Bin and Jiang, Cong-Lin and Zhu, Ren-Qing and Yan, Chao-Gan and Chen, Liang}, doi = {10.1016/j.nicl.2019.101741}, journal-iso = {NEUROIMAGE-CLIN}, journal = {NEUROIMAGE-CLINICAL}, volume = {22}, unique-id = {31021977}, issn = {2213-1582}, abstract = {Resting-state functional MRI (R-fMRI) research has recently entered the era of "big data", however, few studies have provided a rigorous validation of the physiological underpinnings of R-fMRI indices. Although studies have reported that various neuropsychiatric disorders exhibit abnormalities in R-fMRI measures, these "biomarkers" have not been validated in differentiating structural lesions (brain tumors) as a concept proof. We enrolled 60 patients with intracranial tumors located in the unilateral cranial cavity and 60 matched normal controls to test whether R-fMRI indices can differentiate tumors, which represents a prerequisite for adapting such indices as biomarkers for neuropsychiatric disorders. Common R-fMRI indices of tumors and their counterpart control regions, which were defined as the contralateral normal areas (for amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo) and degree centrality (DC)) and ipsilateral regions surrounding the tumors (for voxel-mirrored homotopic connectivity (VMHC)), were comprehensively assessed. According to robust paired t-tests with a Bonferroni correction, only VMHC (Fisher's r-to-z transformed) could successfully differentiate substantial tumors from their counterpart normal regions in patients. Furthermore, ALFF and DC were not able to differentiate tumor from normal unless Z-standardization was employed. To validate the lower power of the between-subject design compared to the within-subject design, each metric was calculated in a matched control group, and robust two-sample t-tests were used to compare the patient tumors and the normal controls at the same place. Similarly, only VMHC succeeded in differentiating significant differences between tumors and the sham tumor areas of normal controls. This study tested the premise of R-fMRI biomarkers for differentiating lesions, and brings a new understanding to physical significance of the Z-standardization.}, keywords = {STANDARDIZATION; TUMOR; CEREBELLUM; biomarker; resting-state fMRI}, year = {2019}, eissn = {2213-1582}, orcid-numbers = {Chen, Xiao/0000-0001-5561-6572; Yan, Chao-Gan/0000-0003-3413-5977} } @article{MTMT:31021978, title = {A Comparison of Evoked and Non-evoked Functional Networks}, url = {https://m2.mtmt.hu/api/publication/31021978}, author = {Hebbink, Jurgen and van Blooijs, Dorien and Huiskamp, Geertjan and Leijten, Frans S. S. and van Gils, Stephan A. and Meijer, Hil G. E.}, doi = {10.1007/s10548-018-0692-1}, journal-iso = {BRAIN TOPOGR}, journal = {BRAIN TOPOGRAPHY}, volume = {32}, unique-id = {31021978}, issn = {0896-0267}, abstract = {The growing interest in brain networks to study the brain's function in cognition and diseases has produced an increase in methods to extract these networks. Typically, each method yields a different network. Therefore, one may ask what the resulting networks represent. To address this issue we consider electrocorticography (ECoG) data where we compare three methods. We derive networks from on-going ECoG data using two traditional methods: cross-correlation (CC) and Granger causality (GC). Next, connectivity is probed actively using single pulse electrical stimulation (SPES). We compare the overlap in connectivity between these three methods as well as their ability to reveal well-known anatomical connections in the language circuit. We find that strong connections in the CC network form more or less a subset of the SPES network. GC and SPES are related more weakly, although GC connections coincide more frequently with SPES connections compared to non-existing SPES connections. Connectivity between the two major hubs in the language circuit, Broca's and Wernicke's area, is only found in SPES networks. Our results are of interest for the use of patient-specific networks obtained from ECoG. In epilepsy research, such networks form the basis for methods that predict the effect of epilepsy surgery. For this application SPES networks are interesting as they disclose more physiological connections compared to CC and GC networks.}, keywords = {electrocorticography; functional connectivity; BRAIN NETWORKS; Cortico-cortical evoked potentials; single pulse electrical stimulation}, year = {2019}, eissn = {1573-6792}, pages = {405-417}, orcid-numbers = {van Blooijs, Dorien/0000-0002-7998-414X} } @article{MTMT:31020318, title = {Intracortical Dynamics Underlying Repetitive Stimulation Predicts Changes in Network Connectivity}, url = {https://m2.mtmt.hu/api/publication/31020318}, author = {Huang, Yuhao and Hajnal, Boglárka Zsófia and Entz, László and Fabó, Dániel and Herrero, Jose L. and Mehta, Ashesh D. and Keller, Corey J.}, doi = {10.1523/JNEUROSCI.0535-19.2019}, journal-iso = {J NEUROSCI}, journal = {JOURNAL OF NEUROSCIENCE}, volume = {39}, unique-id = {31020318}, issn = {0270-6474}, abstract = {Targeted stimulation can be used to modulate the activity of brain networks. Previously we demonstrated that direct electrical stimulation produces predictable poststimulation changes in brain excitability. However, understanding the neural dynamics during stimulation and its relationship to poststimulation effects is limited but critical for treatment optimization. Here, we applied 10 Hz direct electrical stimulation across several cortical regions in 14 human subjects (6 males) implanted with intracranial electrodes for seizure monitoring. The stimulation train was characterized by a consistent increase in high gamma (70 -170 Hz) power. Immediately post-train, low-frequency (1-8 Hz) power increased, resulting in an evoked response that was highly correlated with the neural response during stimulation. Using two measures of network connectivity, corticocortical evoked potentials (indexing effective connectivity), and theta coherence (indexing functional connectivity), we found a stronger response to stimulation in regions that were highly connected to the stimulation site. In these regions, repeated cycles of stimulation trains and rest progressively altered the stimulation response. Finally, after just 2 min (similar to 10%) of repetitive stimulation, we were able to predict poststimulation connectivity changes with high disc rim inability. Together, this work reveals a relationship between stimulation dynamics and poststimulation connectivity changes in humans. Thus, measuring neural activity during stimulation can inform future plasticity-inducing protocols.}, keywords = {electrocorticography; PLASTICITY; electrical stimulation; neuromodulation; Cortico-cortical evoked potentials; Repetitive stimulation}, year = {2019}, eissn = {1529-2401}, pages = {6122-6135}, orcid-numbers = {Fabó, Dániel/0000-0001-5141-5351} } @article{MTMT:31021974, title = {Validation of corpus callosotomy after laser interstitial thermal therapy: a multimodal approach}, url = {https://m2.mtmt.hu/api/publication/31021974}, author = {Lehner, Kurt R. and Yeagle, Erin M. and Argyelan, Miklos and Klimaj, Zoltan and Du, Victor and Megevand, Pierre and Hwang, Sean T. and Mehta, Ashesh D.}, doi = {10.3171/2018.4.JNS172588}, journal-iso = {J NEUROSURG}, journal = {JOURNAL OF NEUROSURGERY}, volume = {131}, unique-id = {31021974}, issn = {0022-3085}, abstract = {OBJECTIVE Disconnection of the cerebral hemispheres by corpus callosotomy (CC) is an established means to palliate refractory generalized epilepsy. Laser interstitial thermal therapy (LITT) is gaining acceptance as a minimally invasive approach to treating epilepsy, but this method has not been evaluated in clinical series using established methodologies to assess connectivity. The goal in this study was to demonstrate the safety and feasibility of MRI-guided LITT for CC and to assess disconnection by using electrophysiology- and imaging-based methods.METHODS Retrospective chart and imaging review was performed in 5 patients undergoing LITT callosotomy at a single center. Diffusion tensor imaging and resting functional MRI were performed in all patients to assess anatomical and functional connectivity. In 3 patients undergoing simultaneous intracranial electroencephalography monitoring, corticocortical evoked potentials and resting electrocorticography were used to assess electrophysiological correlates.RESULTS All patients had generalized or multifocal seizure onsets. Three patients with preoperative evidence for possible lateralization underwent stereoelectroencephalography depth electrode implantation during the perioperative period. LITT ablation of the anterior corpus callosum was completed in a single procedure in 4 patients. One complication involving misplaced devices required a second procedure. Adequacy of the anterior callosotomy was confirmed using contrast-enhanced MRI and diffusion tensor imaging. Resting functional MRI, corticocortical evoked potentials, and resting electrocorticography demonstrated functional disconnection of the hemispheres. Postcallosotomy monitoring revealed lateralization of the seizures in all 3 patients with preoperatively suspected occult lateralization. Four of 5 patients experienced > 80% reduction in generalized seizure frequency. Two patients undergoing subsequent focal resection are free of clinical seizures at 2 years. One patient developed a 9-mm intraparenchymal hematoma at the site of entry and continued to have seizures after the procedure.CONCLUSIONS MRI-guided LITT provides an effective minimally invasive alternative method for CC in the treatment of seizures associated with drop attacks, bilaterally synchronous onset, and rapid secondary generalization. The disconnection is confirmed using anatomical and functional neuroimaging and electrophysiological measures.}, keywords = {surgical technique; Magnetic Resonance Imaging; LASERS; corpus callosum; Drug-resistant epilepsy}, year = {2019}, eissn = {1933-0693}, pages = {1095-1105} } @article{MTMT:33255265, title = {Functionally distinct language and Theory of Mind networks are synchronized at rest and during language comprehension}, url = {https://m2.mtmt.hu/api/publication/33255265}, author = {Paunov, Alexander M. and Blank, Idan A. and Fedorenko, Evelina}, doi = {10.1152/jn.00619.2018}, journal-iso = {J NEUROPHYSIOL}, journal = {JOURNAL OF NEUROPHYSIOLOGY}, volume = {121}, unique-id = {33255265}, issn = {0022-3077}, abstract = {Communication requires the abilities to generate and interpret utterances and to infer the beliefs, desires, and goals of others ("Theory of Mind"; ToM). These two abilities have been shown to dissociate: individuals with aphasia retain the ability to think about others' mental states; and individuals with autism are impaired in social reasoning, but their basic language processing is often intact. In line with this evidence from brain disorders, functional MRI (fMRI) studies have shown that linguistic and ToM abilities recruit distinct sets of brain regions. And yet, language is a social tool that allows us to share thoughts with one another. Thus, the language and ToM brain networks must share information despite being implemented in distinct neural circuits. Here, we investigated potential interactions between these networks during naturalistic cognition using functional correlations in fMRI. The networks were functionally defined in individual participants, in terms of preference for sentences over nonwords for language, and for belief inference over physical-event processing for ToM, with both a verbal and a nonverbal paradigm. Although, across experiments, interregion correlations within each network were higher than between-network correlations, we also observed above-baseline synchronization of blood oxygenation level-dependent signal fluctuations between the two networks during rest and story comprehension. This synchronization was functionally specific: neither network was synchronized with the executive control network (functionally defined in terms of preference for a harder over easier version of an executive task). Thus, coordination between the language and ToM networks appears to be an inherent and specific characteristic of their functional architecture. NEW & NOTEWORTHY Humans differ from nonhuman primates in their abilities to communicate linguistically and to infer others' mental states. Although linguistic and social abilities appear to be interlinked onto- and phylogenetically, they are dissociated in the adult human brain. Yet successful communication requires language and social reasoning to work in concert. Using functional MRI, we show that language regions are synchronized with social regions during rest and language comprehension, pointing to a possible mechanism for internetwork interaction.}, keywords = {CEREBRAL-CORTEX; LANGUAGE; COMMUNICATION; SOCIAL COGNITION; FMRI; INDIVIDUAL-DIFFERENCES; EXECUTIVE FUNCTION; Neurosciences; SPONTANEOUS FLUCTUATIONS; functional connectivity; NEURAL RESPONSES; Temporo-parietal junction; RIGHT-HEMISPHERE; state networks}, year = {2019}, eissn = {1522-1598}, pages = {1244-1265}, orcid-numbers = {Paunov, Alexander M./0000-0003-4342-0534; Blank, Idan A./0000-0001-7057-8391} } @article{MTMT:31021980, title = {The Influence of Anesthesia on Corticocortical Evoked Potential Monitoring Network Between Frontal and Temporoparietal Cortices}, url = {https://m2.mtmt.hu/api/publication/31021980}, author = {Suzuki, Yuto and Enatsu, Rei and Kanno, Aya and Yokoyama, Rintaro and Suzuki, Hime and Tachibana, Shunsuke and Akiyama, Yukinori and Mikami, Takeshi and Ochi, Satoko and Yamakage, Michiaki and Mikuni, Nobuhiro}, doi = {10.1016/j.wneu.2018.11.253}, journal-iso = {WORLD NEUROSURG}, journal = {WORLD NEUROSURGERY}, volume = {123}, unique-id = {31021980}, issn = {1878-8750}, abstract = {BACKGROUND: Previous studies have reported the usefulness of intraoperative corticocortical evoked potentials (CCEPs) for preserving language function during brain surgery.OBJECTIVE: This study aimed to assess the influence of depth of anesthesia on CCEP to establish its clinical utility.METHODS: Twenty patients with brain tumors or epilepsy who underwent awake craniotomy were included in this study. Before resection, the electrode plates were placed on the frontal and temporoparietal cortices, and 1-Hz alternating electrical stimuli were delivered to the pars opercularis/pars triangularis in a bipolar fashion. Electrocorticograms from the temporoparietal cortices time-locked to stimuli were averaged to obtain CCEP responses from a state of deep anesthesia until the awake state. The correlation between CCEP waveforms and bispectral index (BIS) was evaluated.RESULTS: CCEP amplitude increased with the increase in the BIS level. CCEP latency decreased in 5 patients and increased in 15 patients under anesthesia compared with the awake state. CCEP amplitudes decreased by 11.3% to 75.2% (median 31.3%) under anesthesia with <65 BIS level. These differences were statistically significant (P < 0.01, Wilcoxon signed-rank test). With respect to CCEP latencies, there was no significant difference between the awake and anesthetic states.CONCLUSIONS: CCEP amplitudes were correlated with depth of anesthesia, whereas CCEP latencies were not affected by anesthesia. The influence of anesthesia should be considered when applying this technique to intraoperative monitoring.}, keywords = {anesthesia; Awake surgery; Corticocortical evoked potential; Electric cortical stimulation}, year = {2019}, eissn = {1878-8769}, pages = {E685-E692}, orcid-numbers = {Mikami, Takeshi/0000-0002-8608-1037} } @article{MTMT:31021976, title = {Human entorhinal cortex electrical stimulation evoked short-latency potentials in the broad neocortical regions: Evidence from cortico-cortical evoked potential recordings}, url = {https://m2.mtmt.hu/api/publication/31021976}, author = {Takeyama, Hirofumi and Matsumoto, Riki and Usami, Kiyohide and Nakae, Takuro and Kobayashi, Katsuya and Shimotake, Akihiro and Kikuchi, Takayuki and Yoshida, Kazumichi and Kunieda, Takeharu and Miyamoto, Susumu and Takahashi, Ryosuke and Ikeda, Akio}, doi = {10.1002/brb3.1366}, journal-iso = {BRAIN BEHAV}, journal = {BRAIN AND BEHAVIOR}, volume = {9}, unique-id = {31021976}, issn = {2162-3279}, abstract = {Objective We aimed at clarifying the clinical significance of the responses evoked by human entorhinal cortex (EC) electrical stimulation by means of cortico-cortical evoked potentials (CCEPs). Methods We enrolled nine patients with medically intractable medial temporal lobe epilepsy who underwent invasive presurgical evaluations with subdural or depth electrodes. Single-pulse electrical stimulation was delivered to the EC and fusiform gyrus (FG), and their evoked potentials were compared. The correlation between the evoked potentials and Wechsler Memory Scale-Revised (WMS-R) score was analyzed to investigate whether memory circuit was involved in the generation of the evoked potentials. Results In most electrodes placed on the neocortex, EC stimulation induced unique evoked potentials with positive polarity, termed as "widespread P1" (P1w). Compared with FG stimulation, P1w induced by EC stimulation were distinguished by their high occurrence rate, short peak latency (mean: 20.1 ms), small peak amplitude, and waveform uniformity among different recording sites. A stimulation of more posterior parts of the EC induced P1w with shorter latency and larger amplitude. P1w peak amplitude had a positive correlation (r = .69) with the visual memory score of the WMS-R. In one patient, with depth electrode implanted into the hippocampus, the giant evoked potentials were recorded in the electrodes of the anterior hippocampus and EC near the stimulus site. Conclusions The human EC electrical stimulation evoked the short-latency potentials in the broad neocortical regions. The origin of P1w remains unclear, although the limited evidence suggests that P1w is the far-field potential by the volume conduction of giant evoked potential from the EC itself and hippocampus. The significance of the present study is that those evoked potentials may be a potential biomarker of memory impairment in various neurological diseases, and we provided direct evidence for the functional subdivisions along the anterior-posterior axis in the human EC.}, keywords = {MEMORY; hippocampus; ENTORHINAL CORTEX; electrical stimulation; Cortico-cortical evoked potential}, year = {2019}, eissn = {2162-3279} } @article{MTMT:31021981, title = {Cortical Responses to Input From Distant Areas are Modulated by Local Spontaneous Alpha/Beta Oscillations}, url = {https://m2.mtmt.hu/api/publication/31021981}, author = {Usami, Kiyohide and Milsap, Griffin W. and Korzeniewska, Anna and Collard, Maxwell J. and Wang, Yujing and Lesser, Ronald P. and Anderson, William S. and Crone, Nathan E.}, doi = {10.1093/cercor/bhx361}, journal-iso = {CEREB CORTEX}, journal = {CEREBRAL CORTEX}, volume = {29}, unique-id = {31021981}, issn = {1047-3211}, abstract = {Any given area in human cortex may receive input from multiple, functionally heterogeneous areas, potentially representing different processing threads. Alpha (8-13 Hz) and beta oscillations (13-20 Hz) have been hypothesized by other investigators to gate local cortical processing, but their influence on cortical responses to input from other cortical areas is unknown. To study this, we measured the effect of local oscillatory power and phase on cortical responses elicited by single-pulse electrical stimulation (SPES) at distant cortical sites, in awake human subjects implanted with intracranial electrodes for epilepsy surgery. In 4 out of 5 subjects, the amplitudes of corticocortical evoked potentials (CCEPs) elicited by distant SPES were reproducibly modulated by the power, but not the phase, of local oscillations in alpha and beta frequencies. Specifically, CCEP amplitudes were higher when average oscillatory power just before distant SPES (-110 to -10 ms) was high. This effect was observed in only a subset (0-33%) of sites with CCEPs and, like the CCEPs themselves, varied with stimulation at different distant sites. Our results suggest that although alpha and beta oscillations may gate local processing, they may also enhance the responsiveness of cortex to input from distant cortical sites.}, keywords = {BETA; ALPHA; CCEP; high gamma; single-pulse electrical stimulation}, year = {2019}, eissn = {1460-2199}, pages = {777-787} } @article{MTMT:31021975, title = {The neural tides of sleep and consciousness revealed by single-pulse electrical brain stimulation}, url = {https://m2.mtmt.hu/api/publication/31021975}, author = {Usami, Kiyohide and Korzeniewska, Anna and Matsumoto, Riki and Kobayashi, Katsuya and Hitomi, Takefumi and Matsuhashi, Masao and Kunieda, Takeharu and Mikuni, Nobuhiro and Kikuchi, Takayuki and Yoshida, Kazumichi and Miyamoto, Susumu and Takahashi, Ryosuke and Ikeda, Akio and Crone, Nathan E.}, doi = {10.1093/sleep/zsz050}, journal-iso = {SLEEP}, journal = {SLEEP}, volume = {42}, unique-id = {31021975}, issn = {0161-8105}, abstract = {Wakefulness and sleep arise from global changes in brain physiology that may also govern the flow of neural activity between cortical regions responsible for perceptual processing versus planning and action. To test whether and how the sleep/wake cycle affects the overall propagation of neural activity in large-scale brain networks, we applied single-pulse electrical stimulation (SPES) in patients implanted with intracranial EEG electrodes for epilepsy surgery. SPES elicited cortico-cortical spectral responses at high-gamma frequencies (CCSRHG, 80-150 Hz), which indexes changes in neuronal population firing rates. Using event-related causality (ERC) analysis, we found that the overall patterns of neural propagation among sites with CCSRHG were different during wakefulness and different sleep stages. For example, stimulation of frontal lobe elicited greater propagation toward parietal lobe during slow-wave sleep than during wakefulness. During REM sleep, we observed a decrease in propagation within frontal lobe, and an increase in propagation within parietal lobe, elicited by frontal and parietal stimulation, respectively. These biases in the directionality of large-scale cortical network dynamics during REM sleep could potentially account for some of the unique experiential aspects of this sleep stage. Together these findings suggest that the regulation of conscious awareness and sleep is associated with differences in the balance of neural propagation across large-scale frontal-parietal networks.}, keywords = {Brain Waves; Effective connectivity; human electrocorticography; high-gamma activity; causal interactions}, year = {2019}, eissn = {1550-9109}, orcid-numbers = {Matsumoto, Riki/0000-0003-3985-9210} } @article{MTMT:33255266, title = {Direct brain stimulation during episodic memory}, url = {https://m2.mtmt.hu/api/publication/33255266}, author = {Ezzyat, Youssef and Rizzuto, Daniel S.}, doi = {10.1016/j.cobme.2018.11.004}, journal-iso = {CURR OPIN BIOMED ENG}, journal = {CURRENT OPINION IN BIOMEDICAL ENGINEERING}, volume = {8}, unique-id = {33255266}, issn = {2468-4511}, abstract = {The success of direct brain stimulation as a treatment for neurological disorders such as Parkinson's Disease has led to increased interest in developing stimulation-based therapeutic applications for other cognitive domains, such as learning and memory. Here, we review recent advances in using stimulation for memory modulation and enhancement in humans. An expanded set of stimulation targets have been studied that can modulate broad memory networks and behavioral performance. Using online neural decoding during memory processing, closed-loop systems have been used to deliver stimulation with greater precision and improve behavioral outcomes. The data suggest strategies for future therapeutic applications to treating memory dysfunction.}, keywords = {episodic memory; closed loop; Neural decoding; brain stimulation}, year = {2018}, eissn = {2468-4511}, pages = {78-83} } @article{MTMT:27302990, title = {Intracranial Electrophysiology of the Human Default Network}, url = {https://m2.mtmt.hu/api/publication/27302990}, author = {Fox, Kieran C R and Foster, Brett L and Kucyi, Aaron and Daitch, Amy L and Parvizi, Josef}, doi = {10.1016/j.tics.2018.02.002}, journal-iso = {TRENDS COGN SCI}, journal = {TRENDS IN COGNITIVE SCIENCES}, volume = {22}, unique-id = {27302990}, issn = {1364-6613}, year = {2018}, eissn = {1879-307X}, pages = {307-324} } @article{MTMT:30387630, title = {Spread of activity following TMS is related to intrinsic resting connectivity to the salience network: A concurrent TMS-fMRI study}, url = {https://m2.mtmt.hu/api/publication/30387630}, author = {Hawco, Colin and Voineskos, Aristotle N. and Steeves, Jennifer K. E. and Dickie, Erin W. and Viviano, Joseph D. and Downar, Jonathan and Blumberger, Daniel M. and Daskalakis, Zafiris J.}, doi = {10.1016/j.cortex.2018.07.010}, journal-iso = {CORTEX}, journal = {CORTEX: A JOURNAL DEVOTED TO THE STUDY OF THE NERVOUS SYSTEM AND BEHAVIOR}, volume = {108}, unique-id = {30387630}, issn = {0010-9452}, abstract = {Transcranial magnetic stimulation (TMS) modulates activity at local and regions distal to the site of simulation. TMS has also been found to modulate brain networks, and it has been hypothesized that functional connectivity may predict the neuronal changes at local and distal sites in response to a TMS pulse. However, a direct relationship between resting connectivity and change in TMS-induced brain activation has yet to be demonstrated. Concurrent TMS-fMRI is a technique to directly measure this spread activity following TMS in real time. In twenty-two participants, resting-state fMRI scans were acquired, followed by four ten minute sessions of concurrent TMS-fMRI over the left dorsolateral prefrontal cortex (DLPFC). Seed-based functional connectivity to the individualized TMS target was examined using the baseline resting fMRI scan data, and the change of activity resulting from TMS was determined using a general linear model (High vs Low intensity TMS). While at the group level the spatial pattern of resting connectivity related to the pattern of TMS-induced cortical changes, there was substantial variability across individuals. This variability was further probed by examining individuals connectivity from the TMS target to six resting state networks. Only connectivity between the salience network (SN) and the TMS target site correlated with the RSC-TMS score. This suggests that resting state connectivity is correlated with TMS-induced changes in activity following DLPFC stimulation, particularly when the DLPFC target interacts with the SN. These results highlight the importance of examining such relationships at the individual level and may help to guide individual treatment in clinical populations. (C) 2018 Elsevier Ltd. All rights reserved.}, keywords = {functional connectivity; brain stimulation; DORSOLATERAL PREFRONTAL CORTEX; salience network; TMS-fMRI}, year = {2018}, eissn = {1973-8102}, pages = {160-172} } @article{MTMT:27555163, title = {Induction and Quantification of Excitability Changes in Human Cortical Networks}, url = {https://m2.mtmt.hu/api/publication/27555163}, author = {Keller, Corey J and Huang, Yuhao and Herrero, Jose L and Fini, Maria E and Du, Victor and Lado, Fred A and Honey, Christopher J and Mehta, Ashesh D}, doi = {10.1523/JNEUROSCI.1088-17.2018}, journal-iso = {J NEUROSCI}, journal = {JOURNAL OF NEUROSCIENCE}, volume = {38}, unique-id = {27555163}, issn = {0270-6474}, year = {2018}, eissn = {1529-2401}, pages = {S384-S398} } @article{MTMT:27302953, title = {Direct electrical stimulation of human cortex evokes high gamma activity that predicts conscious somatosensory perception}, url = {https://m2.mtmt.hu/api/publication/27302953}, author = {Muller, Leah and Rolston, John D and Fox, Neal P and Knowlton, Robert and Rao, Vikram R and Chang, Edward F}, doi = {10.1088/1741-2552/aa9bf9}, journal-iso = {J NEURAL ENG}, journal = {JOURNAL OF NEURAL ENGINEERING}, volume = {15}, unique-id = {27302953}, issn = {1741-2560}, year = {2018}, eissn = {1741-2552} } @article{MTMT:27302994, title = {Considerations in performing and analyzing the responses of cortico-cortical evoked potentials in stereo-EEG}, url = {https://m2.mtmt.hu/api/publication/27302994}, author = {Prime, David and Rowlands, David and O'Keefe, Steven and Dionisio, Sasha}, doi = {10.1111/epi.13939}, journal-iso = {EPILEPSIA}, journal = {EPILEPSIA}, volume = {59}, unique-id = {27302994}, issn = {0013-9580}, year = {2018}, eissn = {1528-1167}, pages = {16-26} } @article{MTMT:30387631, title = {Medial temporal lobe functional connectivity predicts stimulation-induced theta power}, url = {https://m2.mtmt.hu/api/publication/30387631}, author = {Solomon, E. A. and Kragel, J. E. and Gross, R. and Lega, B. and Sperling, M. R. and Worrell, G. and Sheth, S. A. and Zaghloul, K. A. and Jobst, B. C. and Stein, J. M. and Das, S. and Gorniak, R. and Inman, C. S. and Seger, S. and Rizzuto, D. S. and Kahana, M. J.}, doi = {10.1038/s41467-018-06876-w}, journal-iso = {NAT COMMUN}, journal = {NATURE COMMUNICATIONS}, volume = {9}, unique-id = {30387631}, issn = {2041-1723}, abstract = {Focal electrical stimulation of the brain incites a cascade of neural activity that propagates from the stimulated region to both nearby and remote areas, offering the potential to control the activity of brain networks. Understanding how exogenous electrical signals perturb such networks in humans is key to its clinical translation. To investigate this, we applied electrical stimulation to subregions of the medial temporal lobe in 26 neurosurgical patients fitted with indwelling electrodes. Networks of low-frequency (5-13 Hz) spectral coherence predicted stimulation-evoked increases in theta (5-8 Hz) power, particularly when stimulation was applied in or adjacent to white matter. Stimulation tended to decrease power in the high-frequency broadband (HFB; 50-200 Hz) range, and these modulations were correlated with HFB-based networks in a subset of subjects. Our results demonstrate that functional connectivity is predictive of causal changes in the brain, capturing evoked activity across brain regions and frequency bands.}, year = {2018}, eissn = {2041-1723} } @article{MTMT:30387610, title = {Probabilistic functional tractography of the human cortex revisited}, url = {https://m2.mtmt.hu/api/publication/30387610}, author = {Trebaul, Lena and Deman, Pierre and Tuyisenge, Viateur and Jedynak, Maciej and Hugues, Etienne and Rudrauf, David and Bhattacharjee, Manik and Tadel, Francois and Chanteloup-Foret, Blandine and Saubat, Carole and Mejia, Gina Catalina Reyes and Adam, Claude and Nica, Anca and Pail, Martin and Dubeau, Francois and Rheims, Sylvain and Trebuchon, Agnes and Wang, Haixiang and Liu, Sinclair and Blauwblomme, Thomas and Garces, Mercedes and De Palma, Luca and Valentin, Antonio and Metsahonkala, Eeva-Liisa and Petrescu, Ana Maria and Landre, Elizabeth and Szurhaj, William and Hirsch, Edouard and Valton, Luc and Rocamora, Rodrigo and Schulze-Bonhage, Andreas and Mindruta, Ioana and Francione, Stefano and Maillard, Louis and Taussig, Delphine and Kahane, Philippe and David, Olivier}, doi = {10.1016/j.neuroimage.2018.07.039}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {181}, unique-id = {30387610}, issn = {1053-8119}, abstract = {In patients with pharmaco-resistant focal epilepsies investigated with intracranial electroencephalography (iEEG), direct electrical stimulations of a cortical region induce cortico-cortical evoked potentials (CCEP) in distant cerebral cortex, which properties can be used to infer large scale brain connectivity. In 2013, we proposed a new probabilistic functional tractography methodology to study human brain connectivity. We have now been revisiting this method in the F-TRACT project (f-tract.eu) by developing a large multicenter CCEP database of several thousand stimulation runs performed in several hundred patients, and associated processing tools to create a probabilistic atlas of human cortico-cortical connections. Here, we wish to present a snapshot of the methods and data of F-TRACT using a pool of 213 epilepsy patients, all studied by stereo-encephalography with intracerebral depth electrodes. The CCEPs were processed using an automated pipeline with the following consecutive steps: detection of each stimulation run from stimulation artifacts in raw intracranial EEG (iEEG) files, bad channels detection with a machine learning approach, model-based stimulation artifact correction, robust averaging over stimulation pulses. Effective connectivity between the stimulated and recording areas is then inferred from the properties of the first CCEP component, i.e. onset and peak latency, amplitude, duration and integral of the significant part. Finally, group statistics of CCEP features are implemented for each brain parcel explored by iEEG electrodes. The localization (coordinates, white/gray matter relative positioning) of electrode contacts were obtained from imaging data (anatomical MRI or CT scans before and after electrodes implantation). The iEEG contacts were repositioned in different brain parcellations from the segmentation of patients' anatomical MRI or from templates in the MNI coordinate system. The F-TRACT database using the first pool of 213 patients provided connectivity probability values for 95% of possible intrahemispheric and 56% of interhemispheric connections and CCEP features for 78% of intrahemisheric and 14% of interhemispheric connections. In this report, we show some examples of anatomo-functional connectivity matrices, and associated directional maps. We also indicate how CCEP features, especially latencies, are related to spatial distances, and allow estimating the velocity distribution of neuronal signals at a large scale. Finally, we describe the impact on the estimated connectivity of the stimulation charge and of the contact localization according to the white or gray matter. The most relevant maps for the scientific community are available for download on f-tract. eu (David et al., 2017) and will be regularly updated during the following months with the addition of more data in the F-TRACT database. This will provide an unprecedented knowledge on the dynamical properties of large fiber tracts in human.}, keywords = {EPILEPSY; Brain atlas; Intracranial electroencephalogram; Cortico-cortical evoked potentials; Connectivity mapping}, year = {2018}, eissn = {1095-9572}, pages = {414-429}, orcid-numbers = {David, Olivier/0000-0003-0776-0216} } @article{MTMT:30387613, title = {Test-retest reliability of a stimulation-locked evoked response to deep brain stimulation in subcallosal cingulate for treatment resistant depression}, url = {https://m2.mtmt.hu/api/publication/30387613}, author = {Waters, Allison C. and Veerakumar, Ashan and Choi, Ki Sueng and Howell, Bryan and Tiruvadi, Vineet and Bijanki, Kelly R. and Crowell, Andrea and Riva-Posse, Patricio and Mayberg, Helen S.}, doi = {10.1002/hbm.24327}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {39}, unique-id = {30387613}, issn = {1065-9471}, abstract = {Deep brain stimulation (DBS) to the subcallosal cingulate cortex (SCC) is an emerging therapy for treatment resistant depression. Precision targeting of specific white matter fibers is now central to the model of SCC DBS treatment efficacy. A method to confirm SCC DBS target engagement is needed to reduce procedural variance across treatment providers and to optimize DBS parameters for individual patients. We examined the reliability of a novel cortical evoked response that is time-locked to a 2 Hz DBS pulse and shows the propagation of signal from the DBS target. The evoked response was detected in four individuals as a stereotyped series of components within 150 ms of a 6 V DBS pulse, each showing coherent topography on the head surface. Test-retest reliability across four repeated measures over 14 months met or exceeded standards for valid test construction in three of four patients. Several observations in this pilot sample demonstrate the prospective utility of this method to confirm surgical target engagement and instruct parameter selection. The topography of an orbital frontal component on the head surface showed specificity for patterns of forceps minor activation, which may provide a means to confirm DBS location with respect to key white matter structures. A divergent cortical response to unilateral stimulation of left (vs. right) hemisphere underscores the need for feedback acuity on the level of a single electrode, despite bilateral presentation of therapeutic stimulation. Results demonstrate viability of this method to explore patient-specific cortical responsivity to DBS for brain-circuit pathologies.}, keywords = {Deep brain stimulation; treatment resistant depression; Cortico-cortical evoked potential; forceps minor; stimulation evoked potential; subcallosal cingulate cortex; white matter tractography}, year = {2018}, eissn = {1097-0193}, pages = {4844-4856} } @article{MTMT:30387620, title = {The effectiveness of cortico-cortical evoked potential in detecting seizure onset zones}, url = {https://m2.mtmt.hu/api/publication/30387620}, author = {Zhang, Nan and Zhang, Bingqing and Rajah, Gary B. and Geng, Xiaokun and Singh, Rasanjeet and Yang, Yanfeng and Yan, Xiupeng and Li, Zhe and Zhou, Wenjing and Ding, Yuchuan and Sun, Wei}, doi = {10.1080/01616412.2018.1454092}, journal-iso = {NEUROL RES}, journal = {NEUROLOGICAL RESEARCH}, volume = {40}, unique-id = {30387620}, issn = {0161-6412}, abstract = {Objective:The aim of the study was to evaluate the parameters for localizing the seizure onset zone in refractory epilepsy patients using cortico-cortical evoked potentials (CCEP).}, keywords = {RMS; CCEP; medically refractory epilepsy; seizure onset zone; seizure propagation zone}, year = {2018}, eissn = {1743-1328}, pages = {480-490} } @article{MTMT:26556185, title = {iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization}, url = {https://m2.mtmt.hu/api/publication/26556185}, author = {Blenkmann, Alejandro O and Phillips, Holly N and Princich, Juan P and Rowe, James B and Bekinschtein, Tristan A and Muravchik, Carlos H and Kochen, Silvia}, doi = {10.3389/fninf.2017.00014}, journal-iso = {FRONT NEUROINFORM}, journal = {FRONTIERS IN NEUROINFORMATICS}, volume = {11}, unique-id = {26556185}, year = {2017}, eissn = {1662-5196} } @article{MTMT:26556206, title = {A two-level model of interindividual anatomo-functional variability of the brain and its implications for neurosurgery}, url = {https://m2.mtmt.hu/api/publication/26556206}, author = {Duffau, Hugues}, doi = {10.1016/j.cortex.2015.12.009}, journal-iso = {CORTEX}, journal = {CORTEX: A JOURNAL DEVOTED TO THE STUDY OF THE NERVOUS SYSTEM AND BEHAVIOR}, volume = {86}, unique-id = {26556206}, issn = {0010-9452}, year = {2017}, eissn = {1973-8102}, pages = {303-313} } @article{MTMT:27072840, title = {Mapping how local perturbations influence systems-level brain dynamics}, url = {https://m2.mtmt.hu/api/publication/27072840}, author = {Gollo, Leonardo L and Roberts, James A and Cocchi, Luca}, doi = {10.1016/j.neuroimage.2017.01.057}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {160}, unique-id = {27072840}, issn = {1053-8119}, year = {2017}, eissn = {1095-9572}, pages = {97-112}, orcid-numbers = {Cocchi, Luca/0000-0003-3651-2676} } @article{MTMT:26556183, title = {iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data}, url = {https://m2.mtmt.hu/api/publication/26556183}, author = {Groppe, David M and Bickel, Stephan and Dykstra, Andrew R and Wang, Xiuyuan and Megevand, Pierre and Mercier, Manuel R and Lado, Fred A and Mehta, Ashesh D and Honey, Christopher J}, doi = {10.1016/j.jneumeth.2017.01.022}, journal-iso = {J NEUROSCI METH}, journal = {JOURNAL OF NEUROSCIENCE METHODS}, volume = {281}, unique-id = {26556183}, issn = {0165-0270}, year = {2017}, eissn = {1872-678X}, pages = {40-48} } @article{MTMT:27277944, title = {Network dynamics of human face perception}, url = {https://m2.mtmt.hu/api/publication/27277944}, author = {Kadipasaoglu, Cihan Mehmet and Conner, Christopher Richard and Baboyan, Vatche George and Rollo, Matthew and Pieters, Thomas Allyn and Tandon, Nitin}, doi = {10.1371/journal.pone.0188834}, journal-iso = {PLOS ONE}, journal = {PLOS ONE}, volume = {12}, unique-id = {27277944}, issn = {1932-6203}, year = {2017}, eissn = {1932-6203}, orcid-numbers = {Tandon, Nitin/0000-0002-2752-2365} } @article{MTMT:26741212, title = {Tuning Face Perception with Electrical Stimulation of the Fusiform Gyrus}, url = {https://m2.mtmt.hu/api/publication/26741212}, author = {Keller, Corey J and Davidesco, Ido and Megevand, Pierre and Lado, Fred A and Malach, Rafael and Mehta, Ashesh D}, doi = {10.1002/hbm.23543}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {38}, unique-id = {26741212}, issn = {1065-9471}, year = {2017}, eissn = {1097-0193}, pages = {2830-2842} } @article{MTMT:27072839, title = {Discrimination of a medial functional module within the temporal lobe using an effective connectivity model: A CCEP study}, url = {https://m2.mtmt.hu/api/publication/27072839}, author = {Krieg, Julien and Koessler, Laurent and Jonas, Jacques and Colnat-Coulbois, Sophie and Vignal, Jean-Pierre and Benar, Christian G and Maillard, Louis G}, doi = {10.1016/j.neuroimage.2017.07.061}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {161}, unique-id = {27072839}, issn = {1053-8119}, year = {2017}, eissn = {1095-9572}, pages = {219-231} } @article{MTMT:26741209, title = {High frequency spectral changes induced by single-pulse electric stimulation: Comparison between physiologic and pathologic networks}, url = {https://m2.mtmt.hu/api/publication/26741209}, author = {Maliia, Mihai Dragos and Donos, Cristian and Barborica, Andrei and Mindruta, Ioana and Popa, Irina and Ene, Mirela and Beniczky, Sándor}, doi = {10.1016/j.clinph.2016.12.016}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {128}, unique-id = {26741209}, issn = {1388-2457}, year = {2017}, eissn = {1872-8952}, pages = {1053-1060} } @article{MTMT:27277950, title = {Single pulse electrical stimulation to probe functional and pathological connectivity in epilepsy}, url = {https://m2.mtmt.hu/api/publication/27277950}, author = {Matsumoto, Riki and Kunieda, Takeharu and Nair, Dileep}, doi = {10.1016/j.seizure.2016.11.003}, journal-iso = {SEIZURE-EUR J EPILEP}, journal = {SEIZURE-EUROPEAN JOURNAL OF EPILEPSY}, volume = {44}, unique-id = {27277950}, issn = {1059-1311}, year = {2017}, eissn = {1532-2688}, pages = {27-36}, orcid-numbers = {Matsumoto, Riki/0000-0003-3985-9210} } @article{MTMT:27052168, title = {The Hippocampus and Amygdala Are Integrators of Neocortical Influence: A CorticoCortical Evoked Potential Study}, url = {https://m2.mtmt.hu/api/publication/27052168}, author = {Mégevand, P and Groppe, DM and Bickel, S and Mercier, MR and Goldfinger, MS and Keller, CJ and Entz, László and Mehta, AD}, doi = {10.1089/brain.2017.0527}, journal-iso = {BRAIN CONNECT}, journal = {BRAIN CONNECTIVITY}, volume = {7}, unique-id = {27052168}, issn = {2158-0014}, year = {2017}, eissn = {2158-0022}, pages = {648-660} } @article{MTMT:27277949, title = {Impact of volume-conducted potential in interpretation of cortico-cortical evoked potential: Detailed analysis of high-resolution electrocorticography using two mathematical approaches}, url = {https://m2.mtmt.hu/api/publication/27277949}, author = {Shimada, Seijiro and Kunii, Naoto and Kawai, Kensuke and Matsuo, Takeshi and Ishishita, Yohei and Ibayashi, Kenji and Saito, Nobuhito}, doi = {10.1016/j.clinph.2017.01.012}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {128}, unique-id = {27277949}, issn = {1388-2457}, year = {2017}, eissn = {1872-8952}, pages = {549-557} } @article{MTMT:27277946, title = {Phasic REM Transiently Approaches Wakefulness in the Human Cortex-A Single-Pulse Electrical Stimulation Study}, url = {https://m2.mtmt.hu/api/publication/27277946}, author = {Usami, Kiyohide and Matsumoto, Riki and Kobayashi, Katsuya and Hitomi, Takefumi and Matsuhashi, Masao and Shimotake, Akihiro and Kikuchi, Takayuki and Yoshida, Kazumichi and Kunieda, Takeharu and Mikuni, Nobuhiro and Miyamoto, Susumu and Takahashi, Ryosuke and Ikeda, Akio}, doi = {10.1093/sleep/zsx077}, journal-iso = {SLEEP}, journal = {SLEEP}, volume = {40}, unique-id = {27277946}, issn = {0161-8105}, year = {2017}, eissn = {1550-9109} } @article{MTMT:27072812, title = {Electrophysiological brain mapping: Basics of recording evoked potentials induced by electrical stimulation and its physiological spreading in the human brain}, url = {https://m2.mtmt.hu/api/publication/27072812}, author = {Vincent, Marion and Guiraud, David and Duffau, Hugues and Mandonnet, Emmanuel and Bonnetblanc, Francois}, doi = {10.1016/j.clinph.2017.07.402}, journal-iso = {CLIN NEUROPHYSIOL}, journal = {CLINICAL NEUROPHYSIOLOGY}, volume = {128}, unique-id = {27072812}, issn = {1388-2457}, year = {2017}, eissn = {1872-8952}, pages = {1886-1890} } @article{MTMT:25830237, title = {Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent}, url = {https://m2.mtmt.hu/api/publication/25830237}, author = {Alagapan, Sankaraleengam and Schmidt, Stephen L and Lefebvre, Jeremie and Hadar, Eldad and Shin, Hae Won and Froehlich, Flavio}, doi = {10.1371/journal.pbio.1002424}, journal-iso = {PLOS BIOL}, journal = {PLOS BIOLOGY}, volume = {14}, unique-id = {25830237}, issn = {1544-9173}, year = {2016}, eissn = {1545-7885} } @article{MTMT:26022699, title = {Single and paired-pulse electrical stimulation during invasive EEG recordings}, url = {https://m2.mtmt.hu/api/publication/26022699}, author = {Boulogne, S and Ryvlin, P and Rheims, S}, doi = {10.1016/j.neurol.2016.02.004}, journal-iso = {REV NEUROL-FRANCE}, journal = {REVUE NEUROLOGIQUE}, volume = {172}, unique-id = {26022699}, issn = {0035-3787}, year = {2016}, eissn = {2213-0004}, pages = {174-181} } @article{MTMT:32119422, title = {Spontaneous neural dynamics and multi-scale network organization}, url = {https://m2.mtmt.hu/api/publication/32119422}, author = {Foster, B.L. and He, B.J. and Honey, C.J. and Jerbi, K. and Maier, A. and Saalmann, Y.B.}, doi = {10.3389/fnsys.2016.00007}, journal-iso = {FRONT SYST NEUROSCI}, journal = {FRONTIERS IN SYSTEMS NEUROSCIENCE}, volume = {10}, unique-id = {32119422}, year = {2016}, eissn = {1662-5137} } @article{MTMT:26380417, title = {Regional homogeneity of intrinsic brain activity correlates with auditory-motor processing of vocal pitch errors}, url = {https://m2.mtmt.hu/api/publication/26380417}, author = {Guo, Zhiqiang and Huang, Xiyan and Wang, Meng and Jones, Jeffery A and Dai, Zhengjia and Li, Weifeng and Liu, Peng and Liu, Hanjun}, doi = {10.1016/j.neuroimage.2016.08.005}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {142}, unique-id = {26380417}, issn = {1053-8119}, year = {2016}, eissn = {1095-9572}, pages = {565-575} } @article{MTMT:26208196, title = {Resting state morphology predicts the effect of theta burst stimulation in false belief reasoning}, url = {https://m2.mtmt.hu/api/publication/26208196}, author = {Hartwright, Charlotte E and Hardwick, Robert M and Apperly, Ian A and Hansen, Peter C}, doi = {10.1002/hbm.23255}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {37}, unique-id = {26208196}, issn = {1065-9471}, year = {2016}, eissn = {1097-0193}, pages = {3502-3514} } @article{MTMT:26208197, title = {Clinical Concepts Emerging from fMRI Functional Connectomics}, url = {https://m2.mtmt.hu/api/publication/26208197}, author = {Matthews, Paul M and Hampshire, Adam}, doi = {10.1016/j.neuron.2016.07.031}, journal-iso = {NEURON}, journal = {NEURON}, volume = {91}, unique-id = {26208197}, issn = {0896-6273}, year = {2016}, eissn = {1097-4199}, pages = {511-528} } @article{MTMT:26022698, title = {Stimulation artifact correction method for estimation of early cortico-cortical evoked potentials}, url = {https://m2.mtmt.hu/api/publication/26022698}, author = {Trebaul, Lena and Rudrauf, David and Job, Anne-Sophie and Maliia, Mihai Dragos and Popa, Irina and Barborica, Andrei and Minotti, Lorella and Mindruta, Ioana and Kahane, Philippe and David, Olivier}, doi = {10.1016/j.jneumeth.2016.03.002}, journal-iso = {J NEUROSCI METH}, journal = {JOURNAL OF NEUROSCIENCE METHODS}, volume = {264}, unique-id = {26022698}, issn = {0165-0270}, year = {2016}, eissn = {1872-678X}, pages = {94-102}, orcid-numbers = {Maliia, Mihai Dragos/0000-0002-5436-0314} } @article{MTMT:26022713, title = {The difference between electrical microstimulation and direct electrical stimulation - towards new opportunities for innovative functional brain mapping?}, url = {https://m2.mtmt.hu/api/publication/26022713}, author = {Vincent, Marion and Rossel, Olivier and Hayashibe, Mitsuhiro and Herbet, Guillaume and Duffau, Hugues and Guiraud, David and Bonnetblanc, Francois}, doi = {10.1515/revneuro-2015-0029}, journal-iso = {REV NEUROSCI}, journal = {REVIEWS IN THE NEUROSCIENCES}, volume = {27}, unique-id = {26022713}, issn = {0334-1763}, year = {2016}, eissn = {2191-0200}, pages = {231-258} } @article{MTMT:27277953, title = {New Approach for Exploring Cerebral Functional Connectivity: Review of Cortico-cortical Evoked Potential}, url = {https://m2.mtmt.hu/api/publication/27277953}, author = {Kunieda, Takeharu and Yamao, Yukihiro and Kikuchi, Takayuki and Matsumoto, Riki}, doi = {10.2176/nmc.ra.2014-0388}, journal-iso = {NEUROL MED-CHIR}, journal = {NEUROLOGIA MEDICO-CHIRURGICA}, volume = {55}, unique-id = {27277953}, issn = {0470-8105}, year = {2015}, eissn = {1349-8029}, pages = {374-382}, orcid-numbers = {Yamao, Yukihiro/0000-0002-9615-2353; Matsumoto, Riki/0000-0003-3985-9210} } @article{MTMT:25307393, title = {Slow Spatial Recruitment of Neocortex during Secondarily Generalized Seizures and Its Relation to Surgical Outcome}, url = {https://m2.mtmt.hu/api/publication/25307393}, author = {Martinet, Louis-Emmanuel and Ahmed, Omar J and Lepage, Kyle Q and Cash, Sydney S and Kramer, Mark A}, doi = {10.1523/JNEUROSCI.0049-15.2015}, journal-iso = {J NEUROSCI}, journal = {JOURNAL OF NEUROSCIENCE}, volume = {35}, unique-id = {25307393}, issn = {0270-6474}, year = {2015}, eissn = {1529-2401}, pages = {9477-9490} } @article{MTMT:24464267, title = {Language networks associated with computerized semantic indices}, url = {https://m2.mtmt.hu/api/publication/24464267}, author = {Pakhomov, SVS and Jones, DT and Knopman, DS}, doi = {10.1016/j.neuroimage.2014.10.008}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {104}, unique-id = {24464267}, issn = {1053-8119}, year = {2015}, eissn = {1095-9572}, pages = {125-137} } @article{MTMT:24791386, title = {Bistability breaks-off deterministic responses to intracortical stimulation during non-REM sleep}, url = {https://m2.mtmt.hu/api/publication/24791386}, author = {Pigorini, Andrea and Sarasso, Simone and Proserpio, Paola and Szymanski, Caroline and Arnulfo, Gabriele and Casarotto, Silvia and Fecchio, Matteo and Rosanova, Mario and Mariotti, Maurizio and Lo, Russo Giorgio and Palva, J Matias and Nobili, Lino and Massimini, Marcello}, doi = {10.1016/j.neuroimage.2015.02.056}, journal-iso = {NEUROIMAGE}, journal = {NEUROIMAGE}, volume = {112}, unique-id = {24791386}, issn = {1053-8119}, year = {2015}, eissn = {1095-9572}, pages = {105-113} } @article{MTMT:33255269, title = {Short-term test-retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder}, url = {https://m2.mtmt.hu/api/publication/33255269}, author = {Somandepalli, Krishna and Kelly, Clare and Reiss, Philip T. and Zuo, Xi-Nian and Craddock, R. C. and Yan, Chao-Gan and Petkova, Eva and Castellanos, F. X. and Milham, Michael P. and Di, Martino Adriana}, doi = {10.1016/j.dcn.2015.08.003}, journal-iso = {DEV COGN NEUROS-NETH}, journal = {DEVELOPMENTAL COGNITIVE NEUROSCIENCE}, volume = {15}, unique-id = {33255269}, issn = {1878-9293}, abstract = {To date, only one study has examined test-retest reliability of resting state fMRI (R-fMRI) in children, none in clinical developing groups. Here, we assessed short-term test-retest reliability in a sample of 46 children (11-17.9 years) with attention-deficit/hyperactivity disorder (ADHD) and 57 typically developing children (TDC). Our primary test-retest reliability measure was the intraclass correlation coefficient (ICC), quantified for a range of R-fMRI metrics. We aimed to (1) survey reliability within and across diagnostic groups, and (2) compare voxel-wise ICC between groups. We found moderate-to-high ICC across all children and within groups, with higher-order functional networks showing greater ICC. Nearly all R-fMRI metrics exhibited significantly higher ICC in TDC than in children with ADHD for one or more regions. In particular, posterior cingulate and ventral precuneus exhibited group differences in ICC across multiple measures. In the context of overall moderate-to-high test-retest reliability in children, regional differences in ICC related to diagnostic groups likely reflect the underlying pathophysiology for ADHD. Our currently limited understanding of the factors contributing to inter- and intra-subject variability in ADHD underscores the need for large initiatives aimed at examining their impact on test-retest reliability in both clinical and developing populations. (C) 2015 Published by Elsevier Ltd.}, keywords = {Brain; autism; FLUCTUATIONS; fractionation; TEST-RETEST RELIABILITY; ADHD; functional connectivity; CLINICAL-APPLICATIONS; ROBUST; RESTING STATE FMRI; Psychology, Developmental; Intraclass correlation coefficient ADHD; PHYSIOLOGICAL NOISE CORRECTION}, year = {2015}, eissn = {1878-9307}, pages = {83-93}, orcid-numbers = {Somandepalli, Krishna/0000-0002-2845-1079; Kelly, Clare/0000-0001-8253-357X; Reiss, Philip T./0000-0002-8491-7080; Zuo, Xi-Nian/0000-0001-9110-585X; Yan, Chao-Gan/0000-0003-3413-5977; Petkova, Eva/0000-0001-5129-9442; Di, Martino Adriana/0000-0001-6927-290X} } @article{MTMT:25307394, title = {Sleep modulates cortical connectivity and excitability in humans: Direct evidence from neural activity induced by single-pulse electrical stimulation}, url = {https://m2.mtmt.hu/api/publication/25307394}, author = {Usami, Kiyohide and Matsumoto, Riki and Kobayashi, Katsuya and Hitomi, Takefumi and Shimotake, Akihiro and Kikuchi, Takayuki and Matsuhashi, Masao and Kunieda, Takeharu and Mikuni, Nobuhiro and Miyamoto, Susumu and Fukuyama, Hidenao and Takahashi, Ryosuke and Ikeda, Akio}, doi = {10.1002/hbm.22948}, journal-iso = {HUM BRAIN MAPP}, journal = {HUMAN BRAIN MAPPING}, volume = {36}, unique-id = {25307394}, issn = {1065-9471}, year = {2015}, eissn = {1097-0193}, pages = {4714-4729} }