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  Sensory-motor cortices shape functional connectivity dynamics in the human brain

Kong, X., Kong, R., Orban, C., Wang, P., Zhang, S., Anderson, K., et al. (2021). Sensory-motor cortices shape functional connectivity dynamics in the human brain. Nature Communications, 12(1): 6373. doi:10.1038/s41467-021-26704-y.

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 Creators:
Kong, Xiaolu1, 2, 3, Author
Kong, Ru1, 2, 3, Author
Orban, Csaba1, 2, 3, Author
Wang, Peng4, Author              
Zhang, Shaoshi1, 2, 3, 5, Author
Anderson, Kevin6, Author
Holmes, Avram7, 8, Author
Murray, John D.8, Author
Deco, Gustavo9, 10, Author              
van den Heuvel, Martijn11, Author
Yeo, B. T. Thomas1, 2, 3, 5, 12, Author
Affiliations:
1Department of Electrical and Computer Engineering, Clinical Imaging Research Centre, National University of Singapore, ou_persistent22              
2Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, ou_persistent22              
3Institute for Digital Medicine, National University of Singapore, ou_persistent22              
4Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205650              
5Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, ou_persistent22              
6Department of Psychology, Harvard University, Cambridge, MA, USA, ou_persistent22              
7Department of Psychology, Yale University, New Haven, CT, USA, ou_persistent22              
8Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA, ou_persistent22              
9Department of Technology, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
10Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
11Complex Traits Genetics Lab, VU University Amsterdam, the Netherlands, ou_persistent22              
12Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              

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Free keywords: Cognitive neuroscience; Network models
 Abstract: Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and macro-scale properties of brain organization that shape complex patterns of spontaneous brain activity. We developed a spatially heterogeneous large-scale dynamical circuit model that allowed for variation in local synaptic properties across the human cortex. Here we show that parameterizing local circuit properties with both anatomical and functional gradients generates more realistic static and dynamic resting-state functional connectivity (FC). Furthermore, empirical and simulated FC dynamics demonstrates remarkably similar sharp transitions in FC patterns, suggesting the existence of multiple attractors. Time-varying regional fMRI amplitude may track multi-stability in FC dynamics. Causal manipulation of the large-scale circuit model suggests that sensory-motor regions are a driver of FC dynamics. Finally, the spatial distribution of sensory-motor drivers matches the principal gradient of gene expression that encompasses certain interneuron classes, suggesting that heterogeneity in excitation-inhibition balance might shape multi-stability in FC dynamics.

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Language(s): eng - English
 Dates: 2021-02-282021-10-072021-11-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-021-26704-y
PMID: 34737302
PMC: PMC8568904
 Degree: -

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Project name : -
Grant ID : NUHSRO/2020/124/TMR/LOA
Funding program : -
Funding organization : NUS Yong Loo Lin School of Medicine
Project name : -
Grant ID : OFLCG19May-0035
Funding program : -
Funding organization : Singapore National Medical Research Council (NMRC)
Project name : -
Grant ID : R01MH120080
Funding program : -
Funding organization : United States National Institutes of Health

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 12 (1) Sequence Number: 6373 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723