PT - JOURNAL ARTICLE AU - Simola, Jaana AU - Siebenhühner, Felix AU - Myrov, Vladislav AU - Kantojärvi, Katri AU - Paunio, Tiina AU - Palva, J. Matias AU - Brattico, Elvira AU - Palva, Satu TI - Genetic polymorphisms in <em>COMT</em> and <em>BDNF</em> influence synchronization dynamics of human neuronal oscillations AID - 10.1101/2021.11.16.468778 DP - 2021 Jan 01 TA - bioRxiv PG - 2021.11.16.468778 4099 - http://biorxiv.org/content/early/2021/11/19/2021.11.16.468778.short 4100 - http://biorxiv.org/content/early/2021/11/19/2021.11.16.468778.full AB - Neuronal oscillations, their inter-areal synchronization and scale-free dynamics constitute fundamental mechanisms for cognition by regulating communication in neuronal networks. These oscillatory dynamics have large inter-individual variability that is partly heritable. However, the genetic underpinnings of oscillatory dynamics have remained poorly understood. We recorded resting-state magnetoencephalography (MEG) from 82 participants and investigated whether oscillation dynamics were influenced by genetic polymorphisms in Catechol-O-methyltransferase (COMT) Val158Met and brain-derived neurotrophic factor (BDNF) Val66Met. Both COMT and BDNF polymorphisms influenced local oscillation amplitudes and their long-range temporal correlations (LRTCs), while only BDNF polymorphism affected the strength of large-scale synchronization. Brain criticality framework and computational modelling of near-critical synchronization dynamics suggested that COMT and BDNF polymorphisms influenced local oscillations via differences in net excitation-inhibition balance. Our findings demonstrate that COMT and BDNF genetic polymorphisms contribute to inter-individual variability in local and large-scale synchronization dynamics of neuronal oscillations.Competing Interest StatementThe authors have declared no competing interest.5-HT5-hydroxytryptamineDAdopamineDANDorsal attention networkDMNDefault Mode networkFPNFrontoparietal networkLimLimbic systemNEnoradrenalineSMSomatomotor networkVANVentral attention networkVisVisual network