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Brain rhythms define distinct interaction networks with differential dependence on anatomy.


ABSTRACT: Cognitive functions are subserved by rhythmic neuronal synchronization across widely distributed brain areas. In 105 area pairs, we investigated functional connectivity (FC) through coherence, power correlation, and Granger causality (GC) in the theta, beta, high-beta, and gamma rhythms. Between rhythms, spatial FC patterns were largely independent. Thus, the rhythms defined distinct interaction networks. Importantly, networks of coherence and GC were not explained by the spatial distributions of the strengths of the rhythms. Those networks, particularly the GC networks, contained clear modules, with typically one dominant rhythm per module. To understand how this distinctiveness and modularity arises on a common anatomical backbone, we correlated, across 91 area pairs, the metrics of functional interaction with those of anatomical projection strength. Anatomy was primarily related to coherence and GC, with the largest effect sizes for GC. The correlation differed markedly between rhythms, being less pronounced for the beta and strongest for the gamma rhythm.

SUBMITTER: Vezoli J 

PROVIDER: S-EPMC8639786 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Brain rhythms define distinct interaction networks with differential dependence on anatomy.

Vezoli Julien J   Vinck Martin M   Bosman Conrado Arturo CA   Bastos André Moraes AM   Lewis Christopher Murphy CM   Kennedy Henry H   Fries Pascal P  

Neuron 20211020 23


Cognitive functions are subserved by rhythmic neuronal synchronization across widely distributed brain areas. In 105 area pairs, we investigated functional connectivity (FC) through coherence, power correlation, and Granger causality (GC) in the theta, beta, high-beta, and gamma rhythms. Between rhythms, spatial FC patterns were largely independent. Thus, the rhythms defined distinct interaction networks. Importantly, networks of coherence and GC were not explained by the spatial distributions o  ...[more]

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