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Discrete-network versus modal representations of brain activity: Why a sparse regions-of-interest approach can work for analysis of continuous dynamics

P. A. Robinson
Phys. Rev. E 88, 054702 – Published 26 November 2013
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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.

  • Received 22 August 2013

DOI:https://doi.org/10.1103/PhysRevE.88.054702

©2013 American Physical Society

Synopsis

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Picking the Brain

Published 26 November 2013

A mathematical analysis explains why brain dynamics can be modeled using only a few key regions of interest.

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Authors & Affiliations

P. A. Robinson

  • 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

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Issue

Vol. 88, Iss. 5 — November 2013

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