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  Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain

Wang, P., Kong, R., Kong, X., Liégeois, R., Orban, C., Deco, G., et al. (2019). Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain. Science Advances, 5(1): eaat7854. doi:10.1126/sciadv.aat7854.

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 Creators:
Wang, Peng1, Author
Kong, Ru1, Author
Kong, Xiaolu1, Author
Liégeois, Raphaël1, Author
Orban, Csaba1, Author
Deco, Gustavo2, 3, Author
van den Heuvel, Martijn P.4, Author
Yeo, B. T. Thomas1, 5, 6, 7, Author
Affiliations:
1Department of Electrical and Computer Engineering, Clinical Imaging Research Centre, National University of Singapore, ou_persistent22              
2Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
4Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands, ou_persistent22              
5Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              
6Centre for Cognitive Neuroscience, Duke-National University of Singapore Graduate Medical School, Singapore, ou_persistent22              
7NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, ou_persistent22              

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 Abstract: We considered a large-scale dynamical circuit model of human cerebral cortex with region-specific microscale properties. The model was inverted using a stochastic optimization approach, yielding markedly better fit to new, out-of-sample resting functional magnetic resonance imaging (fMRI) data. Without assuming the existence of a hierarchy, the estimated model parameters revealed a large-scale cortical gradient. At one end, sensorimotor regions had strong recurrent connections and excitatory subcortical inputs, consistent with localized processing of external stimuli. At the opposing end, default network regions had weak recurrent connections and excitatory subcortical inputs, consistent with their role in internal thought. Furthermore, recurrent connection strength and subcortical inputs provided complementary information for differentiating the levels of the hierarchy, with only the former showing strong associations with other macroscale and microscale proxies of cortical hierarchies (meta-analysis of cognitive functions, principal resting fMRI gradient, myelin, and laminar-specific neuronal density). Overall, this study provides microscale insights into a macroscale cortical hierarchy in the dynamic resting brain.

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Language(s): eng - English
 Dates: 2018-04-052018-12-012019-01-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1126/sciadv.aat7854
Other: eCollection 2019
PMID: 30662942
PMC: PMC6326747
 Degree: -

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Project name : -
Grant ID : MOE2014-T2-2-016
Funding program : Singapore MOE Tier 2
Funding organization : National University of Singapore
Project name : -
Grant ID : DPRT/944/09/14
Funding program : NUS Strategic Research
Funding organization : National University of Singapore
Project name : -
Grant ID : R185000271720
Funding program : NUS SOM Aspiration Fund
Funding organization : National University of Singapore
Project name : -
Grant ID : CBRG/0088/2015
Funding program : -
Funding organization : National Medical Research Council (NMRC)
Project name : -
Grant ID : -
Funding program : Fellowship
Funding organization : Singapore National Research Foundation (NRF)
Project name : -
Grant ID : P41EB015896
Funding program : -
Funding organization : Center for Functional Neuroimaging Technologies
Project name : -
Grant ID : 1S10RR023401 ; 1S10RR019307 ; 1S10RR023043
Funding program : -
Funding organization : Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
Project name : -
Grant ID : 1U54MH091657
Funding program : -
Funding organization : National Supercomputing Centre, Singapore
Project name : -
Grant ID : -
Funding program : -
Funding organization : McDonnell Center for Systems Neuroscience, Washington University

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Title: Science Advances
  Other : Sci. Adv.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington : AAAS
Pages: - Volume / Issue: 5 (1) Sequence Number: eaat7854 Start / End Page: - Identifier: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548