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..
View full abstractRelated Projects (3)
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.).