001045525 001__ 1045525
001045525 005__ 20250912110140.0
001045525 0247_ $$2doi$$a10.1038/s41467-025-63000-5
001045525 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-03530
001045525 0247_ $$2pmid$$a40817330
001045525 0247_ $$2WOS$$aWOS:001551663400044
001045525 037__ $$aFZJ-2025-03530
001045525 082__ $$a500
001045525 1001_ $$0P:(DE-HGF)0$$aJiang, Lin$$b0
001045525 245__ $$aGene transcription, neurotransmitter, and neurocognition signatures of brain structural-functional coupling variability
001045525 260__ $$a[London]$$bSpringer Nature$$c2025
001045525 3367_ $$2DRIVER$$aarticle
001045525 3367_ $$2DataCite$$aOutput Types/Journal article
001045525 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1755867017_23415
001045525 3367_ $$2BibTeX$$aARTICLE
001045525 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001045525 3367_ $$00$$2EndNote$$aJournal Article
001045525 520__ $$aThe relationship between brain structure and function, known as structural-functional coupling (SFC), is highly dynamic. However, the temporal variability of this relationship, referring to the fluctuating extent to which functional profiles interact with anatomy over time, remains poorly elucidated. Here, we propose a framework to quantify SFC temporal variability and determine its neurocognitive map, genetic architecture, and neurochemical basis in 1206 healthy human participants. Results reveal regional heterogeneity in SFC variability and a composite emotion dimension co-varying with variability patterns involving the dorsal attention, somatomotor, and visual networks. The transcriptomic signatures of SFC variability are enriched in synapse- and cell cycle-related biological processes and implicated in emotion-related disorders. Moreover, regional densities of serotonin, glutamate, γ-aminobutyric acid, and opioid systems are predictive of SFC variability across the cortex. Collectively, SFC variability mapping provides a biologically plausible framework for understanding how SFC fluctuates over time to support macroscale neurocognitive specialization.
001045525 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001045525 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001045525 7001_ $$0P:(DE-Juel1)161225$$aGenon, Sarah$$b1
001045525 7001_ $$0P:(DE-HGF)0$$aYe, Jiayu$$b2
001045525 7001_ $$0P:(DE-HGF)0$$aZhu, Yan$$b3
001045525 7001_ $$0P:(DE-HGF)0$$aWang, Guangying$$b4
001045525 7001_ $$0P:(DE-HGF)0$$aHe, Runyang$$b5
001045525 7001_ $$0P:(DE-HGF)0$$aValdes-Sosa, Pedro A.$$b6
001045525 7001_ $$0P:(DE-HGF)0$$aWan, Feng$$b7
001045525 7001_ $$0P:(DE-HGF)0$$aYao, Dezhong$$b8
001045525 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b9
001045525 7001_ $$0P:(DE-Juel1)190904$$aDong, Debo$$b10$$eCorresponding author$$ufzj
001045525 7001_ $$0P:(DE-HGF)0$$aLi, Fali$$b11
001045525 7001_ $$0P:(DE-HGF)0$$aXu, Peng$$b12$$eCorresponding author
001045525 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-025-63000-5$$gVol. 16, no. 1, p. 7623$$n1$$p7623$$tNature Communications$$v16$$x2041-1723$$y2025
001045525 8564_ $$uhttps://juser.fz-juelich.de/record/1045525/files/s41467-025-63000-5.pdf$$yOpenAccess
001045525 909CO $$ooai:juser.fz-juelich.de:1045525$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001045525 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)161225$$aForschungszentrum Jülich$$b1$$kFZJ
001045525 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)161225$$a HHU Düsseldorf$$b1
001045525 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b9$$kFZJ
001045525 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b9
001045525 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190904$$aForschungszentrum Jülich$$b10$$kFZJ
001045525 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)190904$$a Faculty of Psychology, Southwest University, Chongqing, 400715, China$$b10
001045525 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731, China Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu, China$$b12
001045525 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$$x0
001045525 9141_ $$y2025
001045525 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001045525 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bNAT COMMUN : 2022$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNAT COMMUN : 2022$$d2025-01-02
001045525 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
001045525 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-01-30T07:48:07Z
001045525 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-01-30T07:48:07Z
001045525 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2024-01-30T07:48:07Z
001045525 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2025-01-02
001045525 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-02
001045525 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001045525 980__ $$ajournal
001045525 980__ $$aVDB
001045525 980__ $$aUNRESTRICTED
001045525 980__ $$aI:(DE-Juel1)INM-7-20090406
001045525 9801_ $$aFullTexts