001021979 001__ 1021979
001021979 005__ 20240226075417.0
001021979 0247_ $$2doi$$a10.7554/eLife.84685
001021979 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01118
001021979 0247_ $$2pmid$$a37335613
001021979 0247_ $$2WOS$$aWOS:001070991900001
001021979 037__ $$aFZJ-2024-01118
001021979 082__ $$a600
001021979 1001_ $$0P:(DE-HGF)0$$aRoe, James M$$b0$$eCorresponding author
001021979 245__ $$aTracing the development and lifespan change of population-level structural asymmetry in the cerebral cortex
001021979 260__ $$aCambridge$$beLife Sciences Publications$$c2023
001021979 3367_ $$2DRIVER$$aarticle
001021979 3367_ $$2DataCite$$aOutput Types/Journal article
001021979 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1706624731_2473
001021979 3367_ $$2BibTeX$$aARTICLE
001021979 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001021979 3367_ $$00$$2EndNote$$aJournal Article
001021979 520__ $$aCortical asymmetry is a ubiquitous feature of brain organization that is subtly altered in some neurodevelopmental disorders, yet we lack knowledge of how its development proceeds across life in health. Achieving consensus on the precise cortical asymmetries in humans is necessary to uncover the developmental timing of asymmetry and the extent to which it arises through genetic and later influences in childhood. Here, we delineate population-level asymmetry in cortical thickness and surface area vertex-wise in seven datasets and chart asymmetry trajectories longitudinally across life (4–89 years; observations = 3937; 70% longitudinal). We find replicable asymmetry interrelationships, heritability maps, and test asymmetry associations in large–scale data. Cortical asymmetry was robust across datasets. Whereas areal asymmetry is predominantly stable across life, thickness asymmetry grows in childhood and peaks in early adulthood. Areal asymmetry is low-moderately heritable (max h2SNP ~19%) and correlates phenotypically and genetically in specific regions, indicating coordinated development of asymmetries partly through genes. In contrast, thickness asymmetry is globally interrelated across the cortex in a pattern suggesting highly left-lateralized individuals tend towards left-lateralization also in population-level right-asymmetric regions (and vice versa), and exhibits low or absent heritability. We find less areal asymmetry in the most consistently lateralized region in humans associates with subtly lower cognitive ability, and confirm small handedness and sex effects. Results suggest areal asymmetry is developmentally stable and arises early in life through genetic but mainly subject-specific stochastic effects, whereas childhood developmental growth shapes thickness asymmetry and may lead to directional variability of global thickness lateralization in the population.
001021979 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001021979 588__ $$aDataset connected to DataCite
001021979 65027 $$0V:(DE-MLZ)SciArea-190$$2V:(DE-HGF)$$aMedicine$$x0
001021979 65017 $$0V:(DE-MLZ)GC-130-2016$$2V:(DE-HGF)$$aHealth and Life$$x0
001021979 7001_ $$00000-0001-9997-9156$$aVidal-Pineiro, Didac$$b1
001021979 7001_ $$0P:(DE-HGF)0$$aAmlien, Inge K$$b2
001021979 7001_ $$0P:(DE-HGF)0$$aPan, Mengyu$$b3
001021979 7001_ $$0P:(DE-HGF)0$$aSneve, Markus H$$b4
001021979 7001_ $$00000-0002-0329-1814$$aThiebaut de Schotten, Michel$$b5
001021979 7001_ $$0P:(DE-Juel1)185938$$aFriedrich, Patrick$$b6$$ufzj
001021979 7001_ $$0P:(DE-HGF)0$$aSha, Zhiqiang$$b7
001021979 7001_ $$00000-0002-9098-890X$$aFrancks, Clyde$$b8
001021979 7001_ $$0P:(DE-HGF)0$$aEilertsen, Espen M$$b9
001021979 7001_ $$0P:(DE-HGF)0$$aWang, Yunpeng$$b10
001021979 7001_ $$00000-0003-1918-1123$$aWalhovd, Kristine B$$b11
001021979 7001_ $$0P:(DE-HGF)0$$aFjell, Anders M$$b12
001021979 7001_ $$00000-0001-7107-2712$$aWesterhausen, René$$b13
001021979 773__ $$0PERI:(DE-600)2687154-3$$a10.7554/eLife.84685$$gVol. 12, p. e84685$$pe84685$$teLife$$v12$$x2050-084X$$y2023
001021979 8564_ $$uhttps://juser.fz-juelich.de/record/1021979/files/elife-84685-v2.pdf$$yOpenAccess
001021979 8564_ $$uhttps://juser.fz-juelich.de/record/1021979/files/elife-84685-v2.gif?subformat=icon$$xicon$$yOpenAccess
001021979 8564_ $$uhttps://juser.fz-juelich.de/record/1021979/files/elife-84685-v2.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001021979 8564_ $$uhttps://juser.fz-juelich.de/record/1021979/files/elife-84685-v2.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001021979 8564_ $$uhttps://juser.fz-juelich.de/record/1021979/files/elife-84685-v2.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001021979 909CO $$ooai:juser.fz-juelich.de:1021979$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001021979 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185938$$aForschungszentrum Jülich$$b6$$kFZJ
001021979 9131_ $$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
001021979 9141_ $$y2023
001021979 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001021979 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001021979 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bELIFE : 2022$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2022-09-23T12:20:44Z
001021979 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2022-09-23T12:20:44Z
001021979 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2022-09-23T12:20:44Z
001021979 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2023-08-22
001021979 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bELIFE : 2022$$d2023-08-22
001021979 920__ $$lyes
001021979 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001021979 980__ $$ajournal
001021979 980__ $$aVDB
001021979 980__ $$aUNRESTRICTED
001021979 980__ $$aI:(DE-Juel1)INM-7-20090406
001021979 9801_ $$aFullTexts