Correspondence of the brain's functional architecture during activation and rest

Stephen M. Smith, Peter T. Fox, Karla L. Miller, David C. Glahn, P. Mickle Fox, Clare E. Mackay, Nicola Filippini, Kate E. Watkins, Roberto Toro, Angela R. Laird, Christian F. Beckmann

Research output: Contribution to journalArticlepeer-review

2911 Scopus citations

Abstract

Neural connections, providing the substrate for functional networks, exist whether or not they are functionally active at any given moment. However, it is not known to what extent brain regions are continuously interacting when the brain is "at rest." In this work, we identify the major explicit activation networks by carrying out an image-based activation network analysis of thousands of separate activation maps derived from the BrainMap database of functional imaging studies, involving nearly 30,000 human subjects. Independently, we extract the major covarying networks in the resting brain, as imaged with functional magnetic resonance imaging in 36 subjects at rest. The sets of major brain networks, and their decompositions into subnetworks, show close correspondence between the independent analyses of resting and activation brain dynamics. We conclude that the full repertoire of functional networks utilized by the brain in action is continuously and dynamically "active" even when at "rest.".

Original languageEnglish (US)
Pages (from-to)13040-13045
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number31
DOIs
StatePublished - Aug 4 2009

Keywords

  • Brain connectivity
  • BrainMap
  • FMRI
  • Functional connectivity
  • Resting-state networks

ASJC Scopus subject areas

  • General

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