001005521 001__ 1005521
001005521 005__ 20231027114358.0
001005521 0247_ $$2doi$$a10.1016/j.neuroimage.2023.120010
001005521 0247_ $$2ISSN$$a1053-8119
001005521 0247_ $$2ISSN$$a1095-9572
001005521 0247_ $$2Handle$$a2128/34426
001005521 0247_ $$2pmid$$a36918136
001005521 0247_ $$2WOS$$aWOS:000981404200001
001005521 037__ $$aFZJ-2023-01521
001005521 082__ $$a610
001005521 1001_ $$0P:(DE-HGF)0$$aYan, Xiaoxuan$$b0
001005521 245__ $$aHomotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity
001005521 260__ $$aOrlando, Fla.$$bAcademic Press$$c2023
001005521 3367_ $$2DRIVER$$aarticle
001005521 3367_ $$2DataCite$$aOutput Types/Journal article
001005521 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1684226120_3440
001005521 3367_ $$2BibTeX$$aARTICLE
001005521 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001005521 3367_ $$00$$2EndNote$$aJournal Article
001005521 520__ $$aResting-state fMRI is commonly used to derive brain parcellations, which are widely used for dimensionality reduction and interpreting human neuroscience studies. We previously developed a model that integrates local and global approaches for estimating areal-level cortical parcellations. The resulting local-global parcellations are often referred to as the Schaefer parcellations. However, the lack of homotopic correspondence between left and right Schaefer parcels has limited their use for brain lateralization studies. Here, we extend our previous model to derive homotopic areal-level parcellations. Using resting-fMRI and task-fMRI across diverse scanners, acquisition protocols, preprocessing and demographics, we show that the resulting homotopic parcellations are as homogeneous as the Schaefer parcellations, while being more homogeneous than five publicly available parcellations. Furthermore, weaker correlations between homotopic parcels are associated with greater lateralization in resting network organization, as well as lateralization in language and motor task activation. Finally, the homotopic parcellations agree with the boundaries of a number of cortical areas estimated from histology and visuotopic fMRI, while capturing sub-areal (e.g., somatotopic and visuotopic) features. Overall, these results suggest that the homotopic local-global parcellations represent neurobiologically meaningful subdivisions of the human cerebral cortex and will be a useful resource for future studies. Multi-resolution parcellations estimated from 1479 participants are publicly available (GITHUB_LINK).
001005521 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001005521 588__ $$aDataset connected to DataCite
001005521 7001_ $$0P:(DE-HGF)0$$aKong, Ru$$b1
001005521 7001_ $$0P:(DE-HGF)0$$aXue, Aihuiping$$b2
001005521 7001_ $$0P:(DE-HGF)0$$aYang, Qing$$b3
001005521 7001_ $$0P:(DE-HGF)0$$aOrban, Csaba$$b4
001005521 7001_ $$0P:(DE-HGF)0$$aAn, Lijun$$b5
001005521 7001_ $$0P:(DE-HGF)0$$aHolmes, Avram J.$$b6
001005521 7001_ $$0P:(DE-HGF)0$$aQian, Xing$$b7
001005521 7001_ $$0P:(DE-HGF)0$$aChen, Jianzhong$$b8
001005521 7001_ $$0P:(DE-HGF)0$$aZuo, Xi-Nian$$b9
001005521 7001_ $$0P:(DE-HGF)0$$aZhou, Juan Helen$$b10
001005521 7001_ $$0P:(DE-HGF)0$$aFortier, Marielle V$$b11
001005521 7001_ $$0P:(DE-HGF)0$$aTan, Ai Peng$$b12
001005521 7001_ $$0P:(DE-HGF)0$$aGluckman, Peter$$b13
001005521 7001_ $$0P:(DE-HGF)0$$aChong, Yap Seng$$b14
001005521 7001_ $$0P:(DE-HGF)0$$aMeaney, Michael J$$b15
001005521 7001_ $$0P:(DE-HGF)0$$aBzdok, Danilo$$b16
001005521 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b17
001005521 7001_ $$0P:(DE-HGF)0$$aYeo, B. T. Thomas$$b18$$eCorresponding author
001005521 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2023.120010$$gp. 120010 -$$p120010 -$$tNeuroImage$$v273$$x1053-8119$$y2023
001005521 8564_ $$uhttps://juser.fz-juelich.de/record/1005521/files/1-s2.0-S1053811923001568-main.pdf$$yOpenAccess
001005521 909CO $$ooai:juser.fz-juelich.de:1005521$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001005521 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b17$$kFZJ
001005521 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b17
001005521 9131_ $$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
001005521 9141_ $$y2023
001005521 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-12
001005521 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2022-11-12
001005521 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
001005521 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-12
001005521 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2022-11-12
001005521 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001005521 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2022-11-12
001005521 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2023-05-02T08:47:40Z
001005521 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2023-05-02T08:47:40Z
001005521 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2023-05-02T08:47:40Z
001005521 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2023-10-21$$wger
001005521 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEUROIMAGE : 2022$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2023-10-21
001005521 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNEUROIMAGE : 2022$$d2023-10-21
001005521 920__ $$lyes
001005521 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001005521 980__ $$ajournal
001005521 980__ $$aVDB
001005521 980__ $$aUNRESTRICTED
001005521 980__ $$aI:(DE-Juel1)INM-7-20090406
001005521 9801_ $$aFullTexts