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

Stephen M. Smith1, Peter T. Fox2, Karla L. Miller1, David C. Glahn3,2, P. Mickle Fox2, Clare E. Mackay1, Nicola Filippini1, Kate E. Watkins1, Roberto Toro4, Angela R. Laird2, Christian F. Beckmann1,5
1Centre for Functional MRI of the Brain, University of Oxford, Oxford OX3 9DU, United Kingdom
2Research Imaging Center, University of Texas Health Science Center, San Antonio, TX 782229;
3Olin Neuropsychiatry Research Center, Institute of Living, Yale University, New Haven, CT 06106;
4Human Genetics and Cognitive Function, Institut Pasteur, 75724 Paris, France; and
5Clinical Neuroscience Department, Imperial College London, London SW7 2AZ, United Kingdom

Tóm tắt

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.”

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