001     905746
005     20220224125157.0
024 7 _ |a 10.1093/cercor/bhab149
|2 doi
024 7 _ |a 1047-3211
|2 ISSN
024 7 _ |a 1460-2199
|2 ISSN
024 7 _ |a 2128/30420
|2 Handle
024 7 _ |a altmetric:107966463
|2 altmetric
024 7 _ |a pmid:34148082
|2 pmid
024 7 _ |a WOS:000708798900023
|2 WOS
037 _ _ |a FZJ-2022-00970
082 _ _ |a 610
100 1 _ |a Vos de Wael, Reinder
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution
260 _ _ |a Oxford
|c 2021
|b Oxford Univ. Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1642772921_21910
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a 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.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Royer, Jessica
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tavakol, Shahin
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wang, Yezhou
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Paquola, Casey
|0 P:(DE-Juel1)187055
|b 4
700 1 _ |a Benkarim, Oualid
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Eichert, Nicole
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Larivière, Sara
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Xu, Ting
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Misic, Bratislav
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Smallwood, Jonathan
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Valk, Sofie L
|0 P:(DE-Juel1)173843
|b 11
700 1 _ |a Bernhardt, Boris C
|0 P:(DE-HGF)0
|b 12
|e Corresponding author
773 _ _ |a 10.1093/cercor/bhab149
|g Vol. 31, no. 11, p. 5151 - 5164
|0 PERI:(DE-600)1483485-6
|n 11
|p 5151 - 5164
|t Cerebral cortex
|v 31
|y 2021
|x 1047-3211
856 4 _ |u https://juser.fz-juelich.de/record/905746/files/bhab149.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:905746
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)187055
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)173843
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-26
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CEREB CORTEX : 2019
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-01-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-01-26
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CEREB CORTEX : 2019
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-01-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2021-01-26
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2021-01-26
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-01-26
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21