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Type: Journal article
Title: Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape
Author: Deco, G.
Kringelbach, M.L.
Arnatkeviciute, A.
Oldham, S.
Sabaroedin, K.
Rogasch, N.C.
Aquino, K.M.
Fornito, A.
Citation: Science Advances, 2021; 7(29):1-16
Publisher: American Scientific Publishers
Issue Date: 2021
ISSN: 2375-2548
Statement of
Gustavo Deco, Morten L. Kringelbach, Aurina Arnatkeviciute, Stuart Oldham, Kristina Sabaroedin, Nigel C. Rogasch ... et al.
Abstract: Brain regions vary in their molecular and cellular composition, but how this heterogeneity shapes neuronal dynamics is unclear. Here, we investigate the dynamical consequences of regional heterogeneity using a biophysical model of whole-brain functional magnetic resonance imaging (MRI) dynamics in humans. We show that models in which transcriptional variations in excitatory and inhibitory receptor (E:I) gene expression constrain regional heterogeneity more accurately reproduce the spatiotemporal structure of empirical functional connectivity estimates than do models constrained by global gene expression profiles or MRI-derived estimates of myeloarchitecture. We further show that regional transcriptional heterogeneity is essential for yielding both ignition-like dynamics, which are thought to support conscious processing, and a wide variance of regional-activity time scales, which supports a broad dynamical range. We thus identify a key role for E:I heterogeneity in generating complex neuronal dynamics and demonstrate the viability of using transcriptomic data to constrain models of large-scale brain function.
Keywords: Brain
Magnetic Resonance Imaging
Rights: © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
DOI: 10.1126/sciadv.abf4752
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