Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates.

ABSTRACT: Whole-brain computational modeling based on structural connectivity has shown great promise in successfully simulating fMRI BOLD signals with temporal coactivation patterns that are highly similar to empirical functional connectivity patterns during resting state. Importantly, previous studies have shown that spontaneous fluctuations in coactivation patterns of distributed brain regions have an inherent dynamic nature with regard to the frequency spectrum of intrinsic brain oscillations. In this modeling study, we introduced frequency dynamics into a system of coupled oscillators, where each oscillator represents the local mean-field model of a brain region. We first showed that the collective behavior of interacting oscillators reproduces previously shown features of brain dynamics. Secon

SUBMITTER: Kaboodvand N 

PROVIDER: S-EPMC6779267 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature