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Genetic polymorphisms in and influence synchronization dynamics of human neuronal oscillations. | LitMetric

AI Article Synopsis

  • Neuronal oscillations and their synchronization are essential for cognitive functions, but there's significant variability among individuals, which may be partly genetic.
  • Researchers studied 82 healthy participants using magnetoencephalography (MEG) to explore how genetic variations in two neuromodulatory genes (catechol-O-methyltransferase and brain-derived neurotrophic factor) impacted these oscillations.
  • The results showed that both genetic polymorphisms affected local oscillation dynamics, while the catechol-O-methyltransferase variant also influenced large-scale synchronization, suggesting that these genes play a role in how neural communication varies between individuals.

Article 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--methyltransferase () ValMet and brain-derived neurotrophic factor () ValMet. Both and polymorphisms influenced local oscillation amplitudes and their long-range temporal correlations (LRTCs), while only polymorphism affected the strength of large-scale synchronization. Our findings demonstrate that and 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 and polymorphisms influenced local oscillations by modulating the excitation-inhibition balance according to the brain criticality framework.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460523PMC
http://dx.doi.org/10.1016/j.isci.2022.104985DOI Listing

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