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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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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0004-C2DF-6 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0004-E5C1-F
Genre: Zeitschriftenartikel

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 Urheber:
Wang, Peng1, Autor
Kong, Ru1, Autor
Kong, Xiaolu1, Autor
Liégeois, Raphaël1, Autor
Orban, Csaba1, Autor
Deco, Gustavo2, 3, Autor
van den Heuvel, Martijn P.4, Autor
Yeo, B. T. Thomas1, 5, 6, 7, Autor
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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Schlagwörter: -
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2018-04-052018-12-012019-01-09
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1126/sciadv.aat7854
Anderer: eCollection 2019
PMID: 30662942
PMC: PMC6326747
 Art des Abschluß: -

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Projektinformation

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

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Titel: Science Advances
  Andere : Sci. Adv.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington : AAAS
Seiten: - Band / Heft: 5 (1) Artikelnummer: eaat7854 Start- / Endseite: - Identifikator: ISSN: 2375-2548
CoNE: https://pure.mpg.de/cone/journals/resource/2375-2548