Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/131677
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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 2375-2548 |
Statement of Responsibility: | 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 Neurons Humans Magnetic Resonance Imaging Consciousness |
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 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/3251549 |
Published version: | http://dx.doi.org/10.1126/sciadv.abf4752 |
Appears in Collections: | Aurora harvest 4 Biochemistry publications |
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