title: Discrete-network versus modal representations of brain activity: why a sparse regions-of-interest approach can work for analysis of continuous dynamics.
abstract: The efficacy of the common practice of tracking brain dynamics using a few key regions of interest is explained via the fact that these regions are sensitive to underlying extended modes of activity, not just local dynamics. This underlines the inseparable interplay between modes and regions and reflects the reality that brain functions range from highly localized to highly extended.
authors: School of Physics, University of Sydney, New South Wales 2006, Australia Brain Dynamics Center, Sydney Medical School-Western, University of Sydney, Westmead, New South Wales 2145, Australia and Center for Integrated Research and Understanding of Sleep, 431 Glebe Point Road, Glebe, NSW 2037, Australia.
authors: P A
authors: PA
authors: Robinson
mesh_terms: D001921:Brain / Q000166:cytology / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000166:cytology / Q000502:physiology*