001042420 001__ 1042420
001042420 005__ 20250610131454.0
001042420 0247_ $$2doi$$a10.1038/s41467-025-59177-4
001042420 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02568
001042420 0247_ $$2pmid$$a40280959
001042420 0247_ $$2WOS$$aWOS:001476786100005
001042420 037__ $$aFZJ-2025-02568
001042420 041__ $$aEnglish
001042420 082__ $$a500
001042420 1001_ $$0P:(DE-HGF)0$$aWang, Yezhou$$b0$$eCorresponding author
001042420 245__ $$aMultimodal gradients unify local and global cortical organization
001042420 260__ $$a[London]$$bSpringer Nature$$c2025
001042420 3367_ $$2DRIVER$$aarticle
001042420 3367_ $$2DataCite$$aOutput Types/Journal article
001042420 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1747836401_5005
001042420 3367_ $$2BibTeX$$aARTICLE
001042420 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001042420 3367_ $$00$$2EndNote$$aJournal Article
001042420 520__ $$aFunctional specialization of brain areas and subregions, as well as their integration into large-scale networks, are key principles in neuroscience. Consolidating both local and global perspectives on cortical organization, however, remains challenging. Here, we present an approach to integrate inter- and intra-areal similarities of microstructure, structural connectivity, and functional interactions. Using high-field in-vivo 7 tesla (7 T) Magnetic Resonance Imaging (MRI) data and a probabilistic post-mortem atlas of cortical cytoarchitecture, we derive multimodal gradients that capture cortex-wide organization. Inter-areal similarities follow a canonical sensory-fugal gradient, linking cortical integration with functional diversity across tasks. However, intra-areal heterogeneity does not follow this pattern, with greater variability in association cortices. Findings are replicated in an independent 7 T dataset and a 100-subject 3 tesla (3 T) cohort. These results highlight a robust coupling between local arealization and global cortical motifs, advancing our understanding of how specialization and integration shape human brain function.
001042420 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001042420 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x1
001042420 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x2
001042420 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001042420 7001_ $$00000-0001-7818-5787$$aEichert, Nicole$$b1
001042420 7001_ $$0P:(DE-Juel1)187055$$aPaquola, Casey$$b2$$ufzj
001042420 7001_ $$00000-0002-2917-1212$$aRodriguez-Cruces, Raul$$b3
001042420 7001_ $$aDeKraker, Jordan$$b4
001042420 7001_ $$00000-0002-4448-8998$$aRoyer, Jessica$$b5
001042420 7001_ $$aCabalo, Donna Gift$$b6
001042420 7001_ $$00000-0003-2127-4636$$aAuer, Hans$$b7
001042420 7001_ $$aNgo, Alexander$$b8
001042420 7001_ $$aLeppert, Ilana R.$$b9
001042420 7001_ $$aTardif, Christine L.$$b10
001042420 7001_ $$aRudko, David A.$$b11
001042420 7001_ $$00000-0002-5801-6318$$aLeech, Robert$$b12
001042420 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b13$$ufzj
001042420 7001_ $$0P:(DE-Juel1)173843$$aValk, Sofie$$b14$$ufzj
001042420 7001_ $$00000-0002-7298-2459$$aSmallwood, Jonathan$$b15
001042420 7001_ $$00000-0003-3841-6098$$aEvans, Alan C.$$b16
001042420 7001_ $$00000-0001-9256-6041$$aBernhardt, Boris C.$$b17
001042420 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-025-59177-4$$gVol. 16, no. 1, p. 3911$$n1$$p3911$$tNature Communications$$v16$$x2041-1723$$y2025
001042420 8564_ $$uhttps://juser.fz-juelich.de/record/1042420/files/Wang_et_al_2025_Multimodal_gradients.pdf$$yOpenAccess
001042420 909CO $$ooai:juser.fz-juelich.de:1042420$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire
001042420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)187055$$aForschungszentrum Jülich$$b2$$kFZJ
001042420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b13$$kFZJ
001042420 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173843$$aForschungszentrum Jülich$$b14$$kFZJ
001042420 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001042420 9141_ $$y2025
001042420 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-02
001042420 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2024-01-30T07:48:07Z
001042420 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001042420 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bNAT COMMUN : 2022$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNAT COMMUN : 2022$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-01-30T07:48:07Z
001042420 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-01-30T07:48:07Z
001042420 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2024-01-30T07:48:07Z
001042420 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2025-01-02
001042420 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-02
001042420 920__ $$lyes
001042420 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001042420 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x1
001042420 980__ $$ajournal
001042420 980__ $$aVDB
001042420 980__ $$aUNRESTRICTED
001042420 980__ $$aI:(DE-Juel1)INM-1-20090406
001042420 980__ $$aI:(DE-Juel1)INM-7-20090406
001042420 9801_ $$aFullTexts