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  Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape

Deco, G., Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., et al. (2021). Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape. Science Advances, 7(29): eabf4752. doi:10.1126/sciadv.abf4752.

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 Creators:
Deco, Gustavo1, 2, 3, 4, Author              
Kringelbach, Morten L.5, 6, Author
Arnatkeviciute, Aurina4, Author
Oldham, Stuart4, Author
Sabaroedin, Kristina4, Author
Rogasch, Nigel C.4, 7, Author
Aquino, Kevin M.4, 8, Author
Fornito, Alex4, Author
Affiliations:
1Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
4Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia, ou_persistent22              
5Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
6Department of Clinical Medicine, Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
7Department of Psychiatry, Adelaide Medical School, University of Adelaide, Australia, ou_persistent22              
8School of Physics, University of Sydney, Australia, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2021-07-142021-07
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1126/sciadv.abf4752
PMID: 34261652
PMC: PMC8279501
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Grant ID : 945539
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Funding organization : Human Brain Project
Project name : -
Grant ID : 101017716
Funding program : -
Funding organization : European Union
Project name : -
Grant ID : 860563
Funding program : -
Funding organization : European School of Network Neuroscience

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Title: Science Advances
  Other : Sci. Adv.
Source Genre: Journal
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Publ. Info: Washington : AAAS
Pages: - Volume / Issue: 7 (29) Sequence Number: eabf4752 Start / End Page: - Identifier: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548