@article{MTMT:36216685,
	title = {Cerebello-Thalamo-Cortical Dysconnectivity in Schizophrenia Spectrum Disorders: A Resting-State Functional Magnetic Resonance Imaging Meta-Analysis},
	url = {https://m2.mtmt.hu/api/publication/36216685},
	author = {Lányi, Orsolya and Zahemszky, Dániel and Schulze Wenning, Alexander and Engh, Marie Anne and Molnár, Zsolt and Horváth, András Attila and Hegyi, Péter and Csukly, Gábor},
	doi = {10.1016/j.bpsc.2025.05.017},
	journal-iso = {BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGINING},
	journal = {BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING},
	volume = {11},
	unique-id = {36216685},
	issn = {2451-9022},
	abstract = {Cerebello-thalamo-cortical (CTC) network dysfunctions are well-documented in schizophrenia spectrum disorders (SSD) and preclinical states. However, small samples and methodological heterogeneity often limit individual neuroimaging studies. To overcome these challenges, we conducted a coordinate-based meta-analysis to characterize CTC alterations across illness stages and examine associations with symptom dimensions.Our meta-analysis was preregistered and followed the PRISMA guideline and the recommendations of the Cochrane Handbook. A systematic search was conducted in three databases in September 2023. Included articles used seed-based resting-state fMRI in patients with schizophrenia-spectrum disorders, first-episode psychosis, clinical high-risk for psychosis, and healthy control groups. Seeds were defined in the thalamus and the cerebellum. Two coordinate-based meta-analytic methods, Activation Likelihood Estimation and Seed-based D Mapping were used. Risk of bias was evaluated per the OHBM recommendations.Thalamic hypoconnectivity in the prefrontal cortex, limbic lobe, thalamus and the cerebellum, and hyperconnectivity in the somato-motor and visual association areas was found in SSD (29 studies, 2768 patients). Dysconnectivity was linked to disease progression and symptoms. Cerebellar analysis indicated hypoconnectivity in the prefrontal cortex, cerebellum, and thalamus, with hyperconnectivity in the motor cortex, somatosensory cortex, and orbitofrontal cortex (19 studies, 1159 patients). Cerebellar clusters did not survive multiple comparison correction.Our findings provide robust meta-analytic evidence of cerebello-thalamo-cortical dysconnectivity in SSD, suggesting this network captures a core neurobiological feature of psychotic disorders. Consistent patterns of altered CTC connectivity underscore the importance of future clinical investigations of this network as a potential target for therapeutic interventions.},
	keywords = {[Meta-analysis]},
	year = {2026},
	eissn = {2451-9030},
	pages = {329-346},
	orcid-numbers = {Engh, Marie Anne/0000-0003-4269-5130; Hegyi, Péter/0000-0003-0399-7259; Csukly, Gábor/0000-0002-5006-9407}
}

@article{MTMT:36352451,
	title = {Cognitive Impairment in Multiple Sclerosis: The Role of Clinical and Sociodemographic Factors ‐ A Systematic Review and Meta‐Analysis},
	url = {https://m2.mtmt.hu/api/publication/36352451},
	author = {Lugosi, Katalin and Engh, Marie Anne and Kói, Tamás and Molnár, Zsolt and Csukly, Gábor and Horváth, Klaudia and Hargitai, Emma and Hegyi, Péter and Mezei, Zsolt},
	doi = {10.1002/acn3.70172},
	journal-iso = {ANN CLIN TRANSL NEUROL},
	journal = {ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY},
	volume = {13},
	unique-id = {36352451},
	issn = {2328-9503},
	abstract = {Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta-analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS subtypes, identifying subgroups at greater risk of cognitive impairment.Methods Registered on PROSPERO (CRD42023451696), a literature search was conducted on August 6, 2023, using PubMed, Embase, and CENTRAL. Following the PRISMA 2020 guideline, a random-effects meta-analysis addressed heterogeneity in correlation and meta-regression analyses. Multivariable regression model results were qualitatively synthesized (systematic review). The JBI Critical Appraisal Tool assessed bias risk. Primary outcome was SDMT raw scores, with EDSS and disease duration as primary exposures, extended with age, sex, education, depression, fatigue, mobility scores, and treatment as secondary exposures, according to our protocol. Associations were evaluated via univariate study-level correlations, univariate meta-regressions, study-level multivariable regression models, and multivariate meta-regressions, assessing covariate interdependence. Heterogeneity was quantified with I2. Only observational cross-sectional data (or baseline data from longitudinal studies) were included.Results A total of 155 studies with 22,828 patients were analyzed. In mixed and relapsing-remitting MS (RRMS), EDSS was the strongest negative correlate of SDMT (mixed MS: -0.44 CI:[-0.50; -0.36]; RRMS: -0.47 [-0.66; -0.23]). Education showed a moderate positive correlation (mixed MS: 0.31 [0.20; 0.42]; RRMS: 0.32 [-0.02; 0.59]). Due to cross-sectional design, heterogeneity, and potential aggregation/ecological bias, findings are exploratory.Interpretation Poor SDMT performance is mainly driven by physical disability and cognitive reserve (education), modulated by sex, depression, and age, highlighting the need to integrate clinical and sociodemographic data in MS cognitive monitoring.},
	keywords = {[Meta-analysis]},
	year = {2026},
	eissn = {2328-9503},
	pages = {58-70},
	orcid-numbers = {Engh, Marie Anne/0000-0003-4269-5130; Csukly, Gábor/0000-0002-5006-9407; Hegyi, Péter/0000-0003-0399-7259; Mezei, Zsolt/0000-0002-3797-2191}
}

@article{MTMT:36455256,
	title = {Individual alpha peak predicts clinical response in TMS therapy for depression: An independent replication},
	url = {https://m2.mtmt.hu/api/publication/36455256},
	author = {Baradits, Máté and Spitzberg, A. and Davani, A.J. and Csukly, Gábor and Arcaro, N. and Joanlanne, A. and Vodovozov, W. and Malhotra, A.K. and Árgyelán, M.},
	doi = {10.1016/j.psychres.2025.116828},
	journal-iso = {PSYCHIAT RES},
	journal = {PSYCHIATRY RESEARCH},
	volume = {355},
	unique-id = {36455256},
	issn = {0165-1781},
	year = {2026},
	eissn = {1872-7123},
	orcid-numbers = {Baradits, Máté/0000-0003-1131-4550; Csukly, Gábor/0000-0002-5006-9407}
}

@article{MTMT:37049422,
	title = {Early findings on VR-Avatar therapy effectiveness in a Hungarian cohort: Clear trends amid contradictory experiences},
	url = {https://m2.mtmt.hu/api/publication/37049422},
	author = {Gerlinger, Lilla and Egervári, Luca Dorottya and Simon, Lajos and Kilencz, Tünde and Csizmadia, Laura and Csukly, Gábor and Hermán, Levente and Tombor, László and Birkedal Glenthøj, Louise and Shiraz, Farah and Vass, Edit},
	doi = {10.1016/j.chbr.2026.101042},
	journal-iso = {COMPUT HUM BEHAV REP},
	journal = {COMPUTERS IN HUMAN BEHAVIOR REPORTS},
	volume = {22},
	unique-id = {37049422},
	issn = {2451-9588},
	year = {2026},
	eissn = {2451-9588},
	orcid-numbers = {Egervári, Luca Dorottya/0000-0002-4918-7350; Simon, Lajos/0000-0002-5180-9040; Csukly, Gábor/0000-0002-5006-9407; Hermán, Levente/0000-0002-1376-5366; Tombor, László/0000-0001-9410-5732; Vass, Edit/0000-0002-8858-7277}
}

@article{MTMT:37074053,
	title = {Első epizód pszichózis miatt kezelés alatt álló betegek nyugalmi állapotú funkcionális mágneses rezonancia agyi képalkotás vizsgálata: narratív irodalmi áttekintés},
	url = {https://m2.mtmt.hu/api/publication/37074053},
	author = {Zsigmond, Réka Ildikó and Baradits, Máté and Csukly, Gábor and Réthelyi, János},
	doi = {10.18071/isz.79.0111},
	journal-iso = {IDEGGYOGY SZEMLE},
	journal = {IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE},
	volume = {79},
	unique-id = {37074053},
	issn = {0019-1442},
	abstract = {Background and purpose-A central hy pothesis to understand the pathophysiologi cal background of psychosis is the modified and disconnected spontaneous activity between different brain regions. Studying patients experiencing first episode psychosis (FEP) is important, because the effects of long-term drug therapy and chronic disease processes are smaller and do not inter fere with understanding the original brain processes. Resting state functional magnetic resonance imaging (rs-fMRI) provides a detailed working picture of the macroscopic connectivity structures of the brain. Further more, it is instrumental for understanding the biological processes of psychoses, and may have a role in the diagnosis. Studies to date provide evidence that disruption of brain networks is a fundamental factor in the development of psychosis. Methods-The aim of our study is to review the literature, with a particular focus on how rs-fMRI can be used to understand early psy chosis as a neurodevelopmental disorder. In this narrative literature review, we used the search terms "first episode psychosis" and "resting state fMRI", and focused on the newer English language publications. Based on the search results, the studies were divided into two broad groups. First, we sum marise the methods used to study functional connectivity. In the second half of the article, we discuss the analytical techniques that investigate regional brain activity. Results-FEP is characterized by decreased local network connectivity, while increase of global network connectivity is also observable. The majority of the papers have dem onstrated the role of frontotemporal con nections and thalamus. Studies examining regional homogeneity also support frontos triatal changes. Decreased activity has been measured in the ventromedial prefrontal cortex and dorsolateral prefrontal cortex. Several studies have described increased activity in the striatum and putamen. In ad dition, there has recently been an increas ing focus on the cerebellum. Most studies have found hyperconnectivity between the cerebellum and the prefrontal cortex, the praecuneus and temporal regions, and in the cerebellar-thalamic-cortical circuit. Conclusion-The reviewed studies support that rs-fMRI is an important tool in inves tigating FEP. However, the results are very heterogeneous, as a consequence of the different methods and analysis techniques. In the future, standardized protocols should help data collection and analysis to reduce heterogeneity.},
	keywords = {functional connectivity; Clinical Neurology; First episode psychosis; Resting state functional magnetic resonance imaging},
	year = {2026},
	eissn = {2498-6208},
	pages = {111-119},
	orcid-numbers = {Zsigmond, Réka Ildikó/0000-0002-7019-6761; Baradits, Máté/0000-0003-1131-4550; Csukly, Gábor/0000-0002-5006-9407; Réthelyi, János/0000-0002-3641-012X}
}

@article{MTMT:37338377,
	title = {Diminished variability of alpha and beta band-limited power as a neural signature in schizophrenia},
	url = {https://m2.mtmt.hu/api/publication/37338377},
	author = {Rácz, Frigyes Sámuel and Farkas, Kinga and Becske, Melinda and Molnár, Hajnalka and Fodor, Zsuzsanna and Mukli, Péter and Csukly, Gábor},
	doi = {10.1038/s41398-026-04055-w},
	journal-iso = {TRANSL PSYCHIAT},
	journal = {TRANSLATIONAL PSYCHIATRY},
	volume = {16},
	unique-id = {37338377},
	issn = {2158-3188},
	abstract = {Spectral features of the electroencephalogram (EEG) are essential for providing clinically relevant biomarkers in schizophrenia (SZ). Despite literature indicating altered short-scale neural dynamics in SZ, however, band-limited power (BLP) indices are rarely assessed in a time-resolved manner. To address this, here we evaluated static and dynamic BLP indices in a sample of 30 SZ patients and 31 healthy control (HC) individuals. Guided by recent findings on power spectral dynamics in SZ, we estimated total, and decomposed fractal and oscillatory BLP in a sliding window manner from resting-state EEG recordings collected in eyes-closed resting-state. The SZ cohort was characterized by elevated baseline of total fractal power (p = 0.0015, |r| = 0.4073), while its temporal variability was comparable between the two study groups. On the other hand, spectral power in the alpha (p < 10−4, d = 1.0503) and beta (p = 0.0022, |r| = 0.3925) regimes exhibited reduced fluctuation in SZ compared to HC, with no between-group differences in their baselines. Furthermore, alpha variability could be attributed to alterations in isolated oscillatory activity, while variability in beta-BLP over the dorsal attention network was found correlated with negative symptoms in SZ (Spearman r = −0.4994, p = 0.0055). Finally, surrogate data testing indicated altered phase dynamics in SZ as a potential mechanism for diminished BLP fluctuations.},
	year = {2026},
	eissn = {2158-3188},
	orcid-numbers = {Rácz, Frigyes Sámuel/0000-0001-9077-498X; Farkas, Kinga/0000-0002-1125-3957; Becske, Melinda/0000-0002-3265-4039; Molnár, Hajnalka/0000-0002-3555-1692; Fodor, Zsuzsanna/0000-0001-9335-4921; Mukli, Péter/0000-0003-4355-8103; Csukly, Gábor/0000-0002-5006-9407}
}

@article{MTMT:37396355,
	title = {Giving the voice a face: Efficacy and feasibility of avatar therapy in a Hungarian cohort},
	url = {https://m2.mtmt.hu/api/publication/37396355},
	author = {Egervári, Luca Dorottya and Csukly, Gábor and Gerlinger, Lilla and Tombor, László and Hermán, Levente and Réthelyi, János and Glenthøj, Louise Birkedal and Kilencz, Tünde and Csizmadia, Laura and Ochoa, Susana and Simon, Lajos and Vass, Edit},
	doi = {10.1016/j.actpsy.2026.107489},
	journal-iso = {ACTA PSYCHOL},
	journal = {ACTA PSYCHOLOGICA},
	volume = {269},
	unique-id = {37396355},
	issn = {0001-6918},
	year = {2026},
	eissn = {1873-6297},
	orcid-numbers = {Egervári, Luca Dorottya/0000-0002-4918-7350; Csukly, Gábor/0000-0002-5006-9407; Tombor, László/0000-0001-9410-5732; Hermán, Levente/0000-0002-1376-5366; Réthelyi, János/0000-0002-3641-012X; Simon, Lajos/0000-0002-5180-9040; Vass, Edit/0000-0002-8858-7277}
}

@article{MTMT:37399897,
	title = {EEG Spectral Power across Rest, Body Scan, and Task Conditions in Autism and Schizophrenia},
	url = {https://m2.mtmt.hu/api/publication/37399897},
	author = {Vass, Ágota and Pálffy, Zsófia and Sörnyei, Dániel Tibor and Lányi, Orsolya and Pongrácz, Máté and Szabó, Gyöngyi and Császár, Ilona and Csukly, Gábor and Farkas, Kinga},
	doi = {10.1016/j.pscychresns.2026.112292},
	journal-iso = {PSYCHIAT RES-NEUROIM},
	journal = {PSYCHIATRY RESEARCH-NEUROIMAGING},
	volume = {362},
	unique-id = {37399897},
	issn = {0925-4927},
	year = {2026},
	eissn = {1872-7506},
	orcid-numbers = {Vass, Ágota/0000-0001-9152-1634; Pálffy, Zsófia/0000-0003-0052-9281; Sörnyei, Dániel Tibor/0009-0005-6701-409X; Csukly, Gábor/0000-0002-5006-9407; Farkas, Kinga/0000-0002-1125-3957}
}

@article{MTMT:37493886,
	title = {Information leakage and performance overestimation in EEG-based schizophrenia detection: evidence from literature and empirical analyses},
	url = {https://m2.mtmt.hu/api/publication/37493886},
	author = {Rácz, Frigyes Sámuel and Csukly, Gábor},
	doi = {10.1038/s41398-026-04315-9},
	journal-iso = {TRANSL PSYCHIAT},
	journal = {TRANSLATIONAL PSYCHIATRY},
	unique-id = {37493886},
	issn = {2158-3188},
	abstract = {Detecting schizophrenia (SZ) from electroencephalography (EEG) signals using machine- and deep learning models gained traction lately due to potential utility in early disease detection and differential diagnosis. Classification performance reports in the range of 95% accuracy and above are common; however, review of state-of-the-art literature indicates that ~65% of published works involve erroneous practices in the evaluation pipeline such as epoch- instead of subject-based data splitting or ranking and selecting features before data partitioning. The consequent information leakage can result in an overestimation of SZ detection performance. Here we explicitly test this on three open SZ-EEG datasets using gold standard classification approaches in leaky and leakage-free implementations. Results indicate that information leakage can inflate SZ classification accuracy by up to ~30%. Accordingly, best practices regarding EEG-based SZ detection must be established and promoted before this technology can be further developed into a clinical decision-making tool.},
	year = {2026},
	eissn = {2158-3188},
	orcid-numbers = {Rácz, Frigyes Sámuel/0000-0001-9077-498X; Csukly, Gábor/0000-0002-5006-9407}
}

@article{MTMT:35762200,
	title = {A nem invazív agyi stimuláció (Non-Invasive Brain Stimulation, NIBS) protokollok hatásának vizsgálata a szociális kognícióra szkizofréniában és autizmus spektrumzavarban},
	url = {https://m2.mtmt.hu/api/publication/35762200},
	author = {Kovács, Fanni Mercédesz and Huszár, Zsolt and Taska, Zsófia and Farkas, Kinga and Csukly, Gábor},
	journal-iso = {PSYCHIATRIA HUNG},
	journal = {PSYCHIATRIA HUNGARICA},
	volume = {40},
	unique-id = {35762200},
	issn = {0237-7896},
	year = {2025},
	pages = {10-10},
	orcid-numbers = {Kovács, Fanni Mercédesz/0009-0002-4192-6152; Farkas, Kinga/0000-0002-1125-3957; Csukly, Gábor/0000-0002-5006-9407}
}