Journal article

Time-resolved resting-state brain networks

Andrew Zalesky, Alex Fornito, Luca Cocchi, Leonardo L Gollo, Michael Breakspear

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | NATL ACAD SCIENCES | Published : 2014

Abstract

Neuronal dynamics display a complex spatiotemporal structure involving the precise, context-dependent coordination of activation patterns across a large number of spatially distributed regions. Functional magnetic resonance imaging (fMRI) has played a central role in demonstrating the nontrivial spatial and topological structure of these interactions, but thus far has been limited in its capacity to study their temporal evolution. Here, using high-resolution resting-state fMRI data obtained from the Human Connectome Project, we mapped time-resolved functional connectivity across the entire brain at a subsecond resolution with the aim of understanding how nonstationary fluctuations in pairwis..

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University of Melbourne Researchers

Grants

Awarded by Australian National Health and Medical Research Council


Awarded by Human Connectome Project, WU-Minn Consortium


Awarded by NATIONAL INSTITUTE OF MENTAL HEALTH


Funding Acknowledgements

Data were provided by the Human Connectome Project, WU-Minn Consortium (1U54MH091657; Principal Investigators: David Van Essen and Kamil Ugurbil) funded by the 16 National Institutes of Health (NIH) institutes and centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. We acknowledge support provided by the Australian National Health and Medical Research Council [Career Development Fellowship GNT1047648 (to A.Z.)], Australian Research Council, Monash Larkins Award (to A. F.), Queensland Health Fellowship (to M. B.), and the James S. McDonnell Foundation (M. B. and L. L. G.).