October 20, 2020

Spatiotemporal scales of dynamical functional networks – using whole-brain modelling to identify the optimal resolution

The brain can rapidly process and transfer information between cortical brain networks by dynamically transitioning between brain states. Here we study the switching activity between functional brain networks that have been estimated at various spatial scales from n = 100 to n = 1000 using resting-state fMRI data. We also generate timeseries at different temporal scales from milliseconds to seconds using whole-brain modelling. We calculate the entropy of switching activity between functional brain networks which represents the richness of the dynamical repertoire. We provide evidence that the entropy of functional network occurrence follows an inverted U-shaped curve with a maximum at a spatial scale between 200 and 300 regions and at a temporal scale of 200 milliseconds.

 bioRxiv Subject Collection: Neuroscience

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