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  Structural connectivity gradients of the temporal lobe serve as multiscale axes of brain organization and cortical evolution

de Wael, R. V., Royer, J., Tavakol, S., Wang, Y., Paquola, C., Benkarim, O., et al. (2021). Structural connectivity gradients of the temporal lobe serve as multiscale axes of brain organization and cortical evolution. Cerebral Cortex, 31(11), 5151-5164. doi:10.1093/cercor/bhab149.

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Wael_2021.pdf (Verlagsversion), 981KB
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 Urheber:
de Wael, Reinder Vos1, Autor
Royer, Jessica1, Autor
Tavakol, Shahin1, Autor
Wang, Yezhou1, Autor
Paquola, Casey1, Autor
Benkarim, Oualid1, Autor
Eichert, Nicole2, Autor
Larivière, Sara1, Autor
Xu, Ting3, Autor
Misic, Bratislav1, Autor
Smallwood, Jonathan4, Autor
Valk, Sofie L.5, Autor           
Bernhardt, Boris C1, Autor
Affiliations:
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, QC, Canada, ou_persistent22              
2Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Center for the Developing Brain, Child Mind Institute, New York, NY, USA, ou_persistent22              
4Queen’s University, Kingston, ON, Canada, ou_persistent22              
5Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              

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Schlagwörter: MRI; Connectome; Gradients; Multimodal; Neuroimaging
 Zusammenfassung: The temporal lobe is implicated in higher cognitive processes and is one of the regions that underwent substantial reorganization during primate evolution. Its functions are instantiated, in part, by the complex layout of its structural connections. Here, we identified low-dimensional representations of structural connectivity variations in human temporal cortex and explored their microstructural underpinnings and associations to macroscale function. We identified three eigenmodes which described gradients in structural connectivity. These gradients reflected inter-regional variations in cortical microstructure derived from quantitative magnetic resonance imaging and postmortem histology. Gradient-informed models accurately predicted macroscale measures of temporal lobe function. Furthermore, the identified gradients aligned closely with established measures of functional reconfiguration and areal expansion between macaques and humans, highlighting their potential role in shaping temporal lobe function throughout primate evolution. Findings were replicated in several datasets. Our results provide robust evidence for three axes of structural connectivity in human temporal cortex with consistent microstructural underpinnings and contributions to large-scale brain network function.

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Sprache(n): eng - English
 Datum: 2021-06-192021-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1093/cercor/bhab149
PMID: 34148082
PMC: PMC8491677
 Art des Abschluß: -

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Projektname : -
Grant ID : ERC646927
Förderprogramm : -
Förderorganisation : European Research Council (ERC)
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Grant ID : 1304413
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Förderorganisation : National Science and Engineering Research Council of Canada (NSERC)
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Grant ID : FDN-154298; PJT-174995
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Förderorganisation : Canadian Institutes of Health Research (CIHR)
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Grant ID : NI17–039
Förderprogramm : -
Förderorganisation : SickKids Foundation
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Förderprogramm : -
Förderorganisation : Savoy Foundation for Epilepsy
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Förderprogramm : -
Förderorganisation : Richard and Ann Sievers award
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Förderorganisation : Canadian Open Neuroscience Platform (CONP)
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Förderorganisation : McGill University’s Faculty of Medicine
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Förderorganisation : Fonds de la Recherche du Quebec—Santé (FRQ-S)
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Förderprogramm : -
Förderorganisation : Healthy Brains for Healthy Lives (HBHL)

Quelle 1

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Titel: Cerebral Cortex
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : Oxford University Press
Seiten: - Band / Heft: 31 (11) Artikelnummer: - Start- / Endseite: 5151 - 5164 Identifikator: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440