Predicting time-resolved electrophysiological brain networks from structural eigenmodes.

ABSTRACT: How temporal modulations in functional interactions are shaped by the underlying anatomical connections remains an open question. Here, we analyse the role of structural eigenmodes, in the formation and dissolution of temporally evolving functional brain networks using resting-state magnetoencephalography and diffusion magnetic resonance imaging data at the individual subject level. Our results show that even at short timescales, phase and amplitude connectivity can partly be expressed by structural eigenmodes, but hardly by direct structural connections. Albeit a stronger relationship was found between structural eigenmodes and time-resolved amplitude connectivity. Time-resolved connectivity for both phase and amplitude was mostly characterised by a stationary process, superimposed with v

SUBMITTER: Tewarie P 

PROVIDER: S-EPMC9435022 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature