TY - CONF AU - Gerván, Patrícia AU - Gombos, Ferenc AU - Bocskai, Gábor AU - Berencsi, Andrea AU - Kovács, Ilona TI - Learning-dependent occipital NREM sleep-spindle clustering following extensive training in a visual perceptual task T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 207 EP - 207 PG - 1 UR - https://m2.mtmt.hu/api/publication/34688594 ID - 34688594 N1 - Teljes mű: https://mitt2024.mitt.hu/application/files/8917/0612/5892/INC2024abstractbook.pdf Programfüzet: https://mitt2024.mitt.hu/application/files/3417/0617/3529/INC2024programbook.pdf AB - Sleep spindles have been implicated to contribute to brain plasticity and the consolidation of pro- cedural memories. More recently, research by Boutin and colleagues (Boutin & Doyon, 2020; Boutin et al., 2023) suggests that the clustering of spindles into groups, referred to as trains, plays a critical role in motor learning. However, the association of clustered sleep spindles with perceptual learning has not yet been investigated. In this study, we aimed to explore how spindle clustering contributes to visual perceptual mem- ory consolidation by applying a contour integration task in humans. Perceptual learning in contour integration specifically addresses the long-range horizontal connections in the primary visual cortex (Kovacs & Julesz, 1993; Angelucci et al., 2002) and together with its documented sleep-dependent (Gerván et al., 2007) manner, this paradigm offers a well-established investigation of learning-de- pendent changes in electroencephalographic activity during sleep. As it is also detailed in the abstract by Gombos et al., we invited a developmental cohort (between 12 and 20 years of age) to spend an adaptation, and two consecutive nights under polysomno- graphic recording of full-night sleep. At least three weeks preceding the experimental sessions, and also three times between the two analyzed sleep recordings, participants practiced in the contour integration task. There was a retest session after the third night. Since perceptual performance of 16- and 20-year-olds was very similar, we collapsed these two age-groups for further analysis (n=39, female=20). Based on contour integration performance improvement between the first and last ses- sions, we divided the participants into two distinct groups: non-learners (n=17) and learners (n=22). To explore the connection between memory consolidation and sleep spindles, we compared the operating characteristics of aggregated occipital channels before and after training. We found an elevated level of spindle clustering by the second night in the ’learner’ group as it is reflected in the significant change in the ratio of fast spindles organized into trains, an increase in the number of fast spindle trains, and a decrease in the inter-spindle-interval within trains. No such pattern of cluster- ing was found in the ’non-learner’ group. These findings suggest that the clustering of sleep spindles into trains may support the efficient reactivation and consolidation of perceptual memories. The project was funded by the National Research, Development and Innovation Office of Hungary (Grants NRLN NK- 104481 and K-134370 to I.K.) and by the Hungarian Research Network (HUN-REN- ELTE-PPKE Adolescent Development Research Group) LA - English DB - MTMT ER - TY - CONF AU - Gombos, Ferenc AU - Berencsi, Andrea AU - Gerván, Patrícia AU - Bocskai, Gábor AU - Kovács, Ilona TI - Major remodelling of procedural training induced NREM sleep spindle clustering in adolescence T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 205 EP - 205 PG - 1 UR - https://m2.mtmt.hu/api/publication/34688576 ID - 34688576 N1 - Teljes dokumentum: https://mitt2024.mitt.hu/application/files/8917/0612/5892/INC2024abstractbook.pdf Programfüzet: https://mitt2024.mitt.hu/application/files/3417/0617/3529/INC2024programbook.pdf AB - We investigate the clustering of sleep spindles in a human developmental context, employing two procedural learning tasks widely acknowledged as inducing local plasticity in distinct cortical regions, thereby seeking to elucidate the neurophysiological underpinnings of memory consolidation during critical developmental stages. Leveraging the high spatiotemporal resolution afforded by HD-EEG, sixty participants, aged 12, 16, and 20 years, underwent polysomnographic recording over an adaptation and two consecutive nights. Interposed between the latter, three sessions of contour integration and a sequential fin- ger-tapping task were carried out, followed by a retest in the subsequent morning. Building upon our prior research describing developmental trajectories of relevant sleep spindle parameters (Boc- skai et al., 2023) and their topographical relocation during adolescence (Gombos et al., 2022), we asked whether spindle clustering also goes through a major remodelling between childhood and adulthood. We aggregated the 122 EEG channels and task- and spindle modality-specific derivations and investigated the differences in the spindle clustering parameters of the two nights. Our analysis differentiated between slow (9-12Hz) and fast (12-16 Hz) sleep spindle frequencies manifesting spontaneously during non-rapid eye movement of full-night sleep. In alignment with contempo- rary literature (Antony et al., 2018; Boutin et al., 2023), we quantified Spindle Trains to ascertain spindle clustering — spindles occurring with inter-spindle intervals not exceeding six seconds. We introduced the Spindle Local Density (SLD) metric to assess low-frequency clustering of spindles, which evaluates spindle frequency over a 60-second spindle-centered sliding window. Please see our posters by Gerván et al, and Berencsi et al. for the analysis of spindle clustering in the task-rele- vant cortical networks as a function of behavioural improvement in the perceptual and motor tasks. We found a significant elevation of fast spindle clustering within the scalp, specifically the occip- ital, temporal, and frontal-polar-frontal areas, as a result of training. The results for SLD, inter-train interval, and the ratio of spindles in ‘trains’ became more robust with age. These findings suggest that in parallel to the topographical relocation of sleep spindles in adolescence, spindle clustering also goes through major alterations before the emergence of the adult pattern. The project was funded by the National Research, Development, and Innovation Office of Hungary (Grants NRLN NK- 104481 and K-134370 to I.K.) and by the Hungarian Research Network (HUN-REN-ELTE-PPKE Adolescent Development Research Group). LA - English DB - MTMT ER - TY - CONF AU - Berencsi, Andrea AU - Gombos, Ferenc AU - Gerván, Patrícia AU - Bocskai, Gábor AU - Kovács, Ilona TI - Daytime performance determines subsequent NREM sleep spindle clustering in a motor learning task T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 206 UR - https://m2.mtmt.hu/api/publication/34547982 ID - 34547982 AB - It has recently been proposed that the clustering of sleep spindles into trains is critical for the efficient reactivation and consolidation of motor memories in humans (Boutin & Doyon, 2020; Boutin et al., 2023). Relying on HD-EEG, here we aim to obtain a more detailed view of spindle clustering in task-relevant cortical networks as a function of behavioral improvement in a motor task. As it is also detailed in the abstract by Gombos et al., we invited a developmental cohort (between 12 and 20 years of age) to spend an adaptation and two consecutive nights under polysomnographic recording of full-night sleep. At least three weeks preceding the experimental sessions, and also three times between the two analyzed sleep recordings, participants practiced in a four-element sequential finger tapping task. There was a retest session after the third night. Although this training schedule is relatively short, we assumed that we can still tap into network-specific procedural memory consolidation due to the pre-recording motor learning session that potentially helped participants to acquire the cognitively demanding part of the task, reducing cognitive load in later sessions. Since motor performance of 16- and 20-year-olds was very similar, we collapsed these two age groups for further analysis (n=40, female=20). Regions of interest in the HD-EEG recordings included parietal and frontal somatomotor regions, and frontal-prefrontal areas. Performance rate in the motor task (correct taps/s) was calculated as a combined measure of speed and accuracy. We then analyzed the correlation between daytime and overnight motor improvement and the difference between spindle organization characteristics preceding and following motor training. While overnight improvement was not associated with clustering, daytime motor improvement was linked to sleep spindle organization. The number of fast and slow spindle trains increased with decreased train intervals and decreased number of isolated spindles in somatomotor and frontal-prefrontal localizations bilaterally as a function of daytime improvement. This pattern suggests that within the short training regime, there was still a significant engagement of cognitive resources explaining the lack of area-specific changes associated with offline learning. On the other hand, the strong association between daytime learning and subsequent bilateral spindle clustering suggests the role of sleep spindles in the stabilization of task-related memories. https://mitt2024.mitt.hu/application/files/8917/0612/5892/INC2024abstractbook.pdf LA - English DB - MTMT ER - TY - CONF AU - Oláh, Gyöngyi AU - Kovács, Kristóf AU - Gerván, Patrícia AU - Utczás, Katinka AU - Tróznai, Zsófia AU - Berencsi, Andrea AU - Szakács, Hanna AU - Gombos, Ferenc AU - Kovács, Ilona TI - Unlocking the Growth Spurt of the Brain: The Transient Tale of Adolescent Cognitive Abilities T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 208 EP - 208 PG - 1 UR - https://m2.mtmt.hu/api/publication/34542285 ID - 34542285 N1 - Programfüzet: https://mitt2024.mitt.hu/application/files/3417/0617/3529/INC2024programbook.pdf AB - Adolescence represents a critical period not only for biological and social but also for brain and cognitive development. We demonstrated earlier that biological age has a selective effect on cognitive abilities in adolescence (Kovacs et al, 2022). Here we investigate the potential long-term effects of objectively measured pubertal maturity on cognitive abilities. Using ultrasonic bone age assessment to estimate biological age, participants (117 females, 11-15 y, one-year-wide age bins) were categorized into decelerated, average, and accelerated pubertal status groups at Time 1 (T1), based on the difference between their bone age and chronological age. Cognitive abilities were assessed applying WISC-IV subscales. At T1, bone maturation determined performance in Working Memory and Processing Speed within the same age-bins, with better performance at higher maturity levels. Testing the long-term effects on a subset of 60 participants (17-19 y, mean age=18.41, (SD=0.62)) of the same cohort at T2 we had an opportunity to examine whether faster maturation leads to long-term overdevelopment or whether the benefits of more speedy maturation are transient. It also allowed us to estimate whether individual variability in puberty onset time may alter developmental trajectories spanning into adulthood. At T2, there were no significant differences in cognitive performance among the maturity groups. The trajectories of the decelerated and average groups aligned with that of the accelerated group, suggesting that the early advantage observed at T1 is a transient developmental event. We argue that the short- term developmental differences, even if transient, are still essential to discuss since they could temporarily place the child outside the typical range and cause heightened stress levels. Our research group presents another poster at this conference entitled “Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization” by Szakács et al. indicating that cortical entropy production of the same teenage participants follows a different pattern than the one observed with respect to cognitive development. We interpret these findings as an indication of the presence of both transient developmental changes and potentially long-term deviations from normative development related to the speed of pubertal maturity. LA - English DB - MTMT ER - TY - CONF AU - Szakács, Hanna AU - Murat, Can Mutlu AU - Giulio, Balestrieri AU - Gombos, Ferenc AU - Jochen, Braun AU - Morten, L. Kringelbach AU - Gustavo, Deco AU - Kovács, Ilona TI - Navigating Pubertal Goldilocks. the Optimal Pace for Hierarchical Brain Organization TS - the Optimal Pace for Hierarchical Brain Organization T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 209 PG - 1 UR - https://m2.mtmt.hu/api/publication/34539522 ID - 34539522 N1 - Programfüzet: https://mitt2024.mitt.hu/application/files/3417/0617/3529/INC2024programbook.pdf AB - The human brain undergoes a series of transformations during adolescence, a process that has been linked to the pubertal increase of gonadal steroids. However, the underlying mechanisms of pubertal hormonal changes and the reorganization of the brain during adolescence are not clear yet. Uncertainty around the impact of atypical pubertal timelines arises from ineffective maturity measures and difficulty dissociating chronological age (CA) from pubertal maturity. We recently introduced ultrasonic bone age (BA) assessment as a reliable indicator of physical maturity to resolve this ambiguity. We combined this method with a measurement of entropy production, an index of the level of hierarchical organization in the brain, to explore whether it changes as a function of physical maturation. In thermodynamics and systems biology, asymmetry and established directionality of flow in the state space is linked to the level of hierarchy in the system. This is based on the second law of thermodynamics, stating that a system will go from order to disorder over time. Quantifying asymmetry through entropy production captures the level of functional hierarchical organization by analyzing the temporal dynamics of brain signals. Entropy production calculations were performed on 87 eyes-closed resting-state EEG recordings in the alpha frequency range, collected from 61 adolescent females in three non-overlapping developmental stages (decelerated, average and accelerated) in two chronological age groups, and 26 emerging adult females. We parsed EEG recordings into 12 phase-based connectivity patterns, and we studied the sequence in which they occurred, specifically focusing on the asymmetrical nature of their transitions. To dissociate the effects of CA and BA, we analyzed the data through various grouping approaches forming age groups, maturity groups, and maturity groups within two age groups. While entropy production marginally increased with age, it was significantly higher in the average maturity group compared to both the decelerated and accelerated groups. The same result was found among maturity groups of one age bracket. The results indicate an advantage of on-time maturation with respect to hierarchical brain organization within our neurotypical cohort. Significant deviations towards accelerated or delayed maturational speeds might amplify these disparities, increasing neurodiversity, and potentially leading developmental trajectories into the clinical spectrum. LA - English DB - MTMT ER - TY - CONF AU - Berencsi, Andrea AU - Gombos, Ferenc AU - Fehér, Lili Julia AU - Gerván, Patrícia AU - Utczás, Katinka AU - Oláh, Gyöngyi AU - Tróznai, Zsófia AU - Kovács, Ilona TI - The impact of biological maturity on fine movements in adolescence T2 - Progress in Motor Control XIV PB - Bambino Gesù Children Hospital PY - 2023 SP - 89 EP - 89 PG - 1 UR - https://m2.mtmt.hu/api/publication/34210564 ID - 34210564 LA - English DB - MTMT ER - TY - DATA AU - Gerván, Patrícia AU - Oláh, Gyöngyi AU - Utczás, Katinka AU - Tróznai, Zsófia AU - Berencsi, Andrea AU - Gombos, Ferenc AU - Kovács, Ilona TI - Natural variance in executive function components by pubertal timing in neurotypical population of females PY - 2023 PG - 20 UR - https://m2.mtmt.hu/api/publication/34087871 ID - 34087871 LA - English DB - MTMT ER - TY - CONF AU - Szakács, Hanna AU - Gustavo, Deco AU - Jochen, Braun AU - Murat, can Mutlu AU - Giulio, Balestrieri AU - Gombos, Ferenc AU - Kovács, Ilona TI - Az információs entrópia mértékének kimutatása serdülő és felnőtt EEG-felvételek alapján T2 - A Magyar Klinikai Neurofiziológiai Társaság 49. Kongresszusa: Programfüzet és absztraktok PY - 2023 SP - 30 UR - https://m2.mtmt.hu/api/publication/33664590 ID - 33664590 AB - Cél: Az információs entrópia idegtudományi kontextusban a hierarchikus szervezettség fokát mutatja meg. Fázisalapú mikro-állapot elemzés segítségével tártuk fel a serdülők EEG-felvételei alapján mérhető információs entrópia mértékét egy olyan paradigma keretein belül, mely elkülöníti a vizsgálati alanyok kronológiai és biológiai korát, csoportokba sorolva őket aszerint, hogy érettségük szintje hogyan viszonyul életkorukhoz. Célunk az entrópia mértékének nyomon követése a kronológiai-, valamint a biológiai kor mentén serdülőknél, összehasonlítva a felnőtt EEG-felvételeken számítható entrópia mértékével. Módszerek: 49 serdülő lány és 26 felnőtt nő éber nyugalmi EEG-felvétele szerepel a felhasznált adatbázisban. A serdülők biológiai korát ultrahangos csontkor-mérés útján állapítottuk meg, majd öt csoportba soroltuk őket: egy csoportban a kronológiai és biológiai kor közel azonos volt, két csoport csak az életkor, másik kettő csak a biológiai kor szempontjából tért el egymástól. A felnőtt mintán nem történt csontkor-meghatározás. Minden EEG-felvétel 5 perc hosszú volt az adattisztítás előtt. Az EEG-jelek rögzítése alatt az alanyok szeme csukva volt. Az elemzett felvételek 128 csatornás HD-EEG (Electrical Geodesics, Inc.) eszközzel készültek. Az EEGLAB programban (2021.1-es verzió) végzett adattisztítást követően a felvételeket először a Leading Eigenvector Dynamics Analysis (LEiDA) algoritmussal elemeztük, mely a hullámok fáziskülönbsége alapján detektálja az EEG-jeleken felfedezhető mikro-állapotokat, k-közép klaszterezési eljárás segítségével. Ezt követően számítottuk ki csoportonként az entrópia mértékét, a felnőtteket külön csoportba sorolva, majd összehasonlítottuk az átlagos érettségű serdülők és a felnőttek felvételein mért entrópiát. Eredmények: A serdülő mintában a legjelentősebb entrópia-termelődés az átlagos érettségű csoportban mutatkozott meg. A felnőtt mintán mért entrópia alacsonyabb, mint az átlagos érettségű serdülők esetén. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Bocskai, Gábor AU - Pótári, Adrián AU - Gombos, Ferenc AU - Kovács, Ilona TI - The adolescent pattern of sleep spindle development revealed by HD‐EEG JF - JOURNAL OF SLEEP RESEARCH J2 - J SLEEP RES VL - 32 PY - 2023 IS - 2 SN - 0962-1105 DO - 10.1111/jsr.13618 UR - https://m2.mtmt.hu/api/publication/32791005 ID - 32791005 AB - Sleep spindles are developmentally relevant cortical oscillatory patterns; however, they have mostly been studied by considering the entire spindle frequency range (11–15 Hz) without a distinction between the functionally and topographically different slow and fast spindles, using relatively few electrodes and analysing wide age ranges. Here, we employ high-density night sleep electroencephalography in three age-groups between 12 and 20 years of age (30 females and 30 males) and analyse the adolescent developmental pattern of the four major parameters of slow and fast sleep spindles. Most of our findings corroborate those very few previous studies that also make a distinction between slow and fast spindles in their developmental analysis. We find spindle frequency increasing with age. A spindle density change is not obvious in our study. We confirm the declining tendencies for amplitude and duration, although within narrower, more specific age-windows than previously determined. Spindle frequency seems to be higher in females in the oldest age-group. Based on the pattern of our findings, we suggest that high-density electroencephalography, specifically targeting slow and fast spindle ranges and relatively narrow age-ranges would advance the understanding of both adolescent cortical maturation and development and the functional relevance of sleep spindles in general. LA - English DB - MTMT ER - TY - JOUR AU - G. Horváth, Csenge AU - Szalárdy, Orsolya AU - Ujma, Przemyslaw Péter AU - Simor, Péter Dániel AU - Gombos, Ferenc AU - Kovács, Ilona AU - Dresler, Martin AU - Bódizs, Róbert TI - Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 12 PY - 2022 IS - 1 PG - 12 SN - 2045-2322 DO - 10.1038/s41598-022-23033-y UR - https://m2.mtmt.hu/api/publication/33202409 ID - 33202409 N1 - Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary Institute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary UR2NF, Neuropsychology and Functional Neuroimaging Research Unit at CRCN-Center for Research in Cognition and Neurosciences and UNI-ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium Laboratory for Psychological Research, Pázmány Péter Catholic University, Budapest, Hungary ELRN-ELTE-PPKE Adolescent Development Research Group, Faculty of Education and Psychology, Eötvös Loránd University, Budapest, Hungary Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands Cited By :3 Export Date: 13 February 2024 Correspondence Address: G. Horváth, C.; Institute of Behavioural Sciences, Hungary; email: horvath.csenge@phd.semmelweis.hu AB - Unfolding the overnight dynamics in human sleep features plays a pivotal role in understanding sleep regulation. Studies revealed the complex reorganization of the frequency composition of sleep electroencephalogram (EEG) during the course of sleep, however the scale-free and the oscillatory measures remained undistinguished and improperly characterized before. By focusing on the first four non-rapid eye movement (NREM) periods of night sleep records of 251 healthy human subjects (4–69 years), here we reveal the flattening of spectral slopes and decrease in several measures of the spectral intercepts during consecutive sleep cycles. Slopes and intercepts are significant predictors of slow wave activity (SWA), the gold standard measure of sleep intensity. The overnight increase in spectral peak sizes (amplitudes relative to scale-free spectra) in the broad sigma range is paralleled by a U-shaped time course of peak frequencies in frontopolar regions. Although, the set of spectral indices analyzed herein reproduce known age- and sex-effects, the interindividual variability in spectral slope steepness is lower as compared to the variability in SWA. Findings indicate that distinct scale-free and oscillatory measures of sleep EEG could provide composite measures of sleep dynamics with low redundancy, potentially affording new insights into sleep regulatory processes in future studies. LA - English DB - MTMT ER -