Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Date

2022-09-16

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en

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21

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iScience, Volume 25, issue 9, pp. 1-21

Abstract

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. We hypothesized that this variability could be partially explained by genetic polymorphisms in neuromodulatory genes. We recorded resting-state magnetoencephalography (MEG) from 82 healthy 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. Our findings demonstrate that COMT and BDNF genetic polymorphisms contribute to inter-individual variability in neuronal oscillation dynamics. Comparison of these results to computational modeling of near-critical synchronization dynamics further suggested that COMT and BDNF polymorphisms influenced local oscillations by modulating the excitation-inhibition balance according to the brain criticality framework.

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Funding Information: This work was supported by the Jane and Aatos Erkko Foundation , by the Academy of Finland ( SA 1266402 , 1267030 to S.P., SA 1266745 , 1296304 to J.M.P., and SA 1294761 to J.S.). Publisher Copyright: © 2022 The Authors

Keywords

Biological sciences, Cognitive neuroscience, Neuroscience

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Citation

Simola, J, Siebenhühner, F, Myrov, V, Kantojärvi, K, Paunio, T, Palva, J M, Brattico, E & Palva, S 2022, ' Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations ', iScience, vol. 25, no. 9, 104985, pp. 1-21 . https://doi.org/10.1016/j.isci.2022.104985