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dc.contributor.authorDumitru, Magda L.
dc.date.accessioned2024-08-09T11:27:26Z
dc.date.available2024-08-09T11:27:26Z
dc.date.created2024-01-03T12:18:08Z
dc.date.issued2023
dc.identifier.issn1047-3211
dc.identifier.urihttps://hdl.handle.net/11250/3145582
dc.description.abstractBrain asymmetry is a cornerstone in the development of higher-level cognition, but it is unclear whether and how it differs in males and females. Asymmetry has been investigated using the laterality index, which compares homologous regions as pairwise weighted differences between the left and the right hemisphere. However, if asymmetry differences between males and females are global instead of pairwise, involving proportions between multiple brain areas, novel methodological tools are needed to evaluate them. Here, we used the Amsterdam Open MRI collection to investigate sexual dimorphism in brain asymmetry by comparing laterality index with the distance index, which is a global measure of differences within and across hemispheres, and with the subtraction index, which compares pairwise raw values in the left and right hemisphere. Machine learning models, robustness tests, and group analyses of cortical volume, area, thickness, and mean curvature revealed that, of the three indices, distance index was the most successful biomarker of sexual dimorphism. These findings suggest that left–right asymmetry in males and females involves global coherence rather than pairwise contrasts. Further studies are needed to investigate the biological basis of local and global asymmetry based on growth patterns under genetic, hormonal, and environmental factors.en_US
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBrain asymmetry is globally different in males and females: exploring cortical volume, area, thickness, and mean curvatureen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1093/cercor/bhad396
dc.identifier.cristin2219815
dc.source.journalCerebral Cortexen_US
dc.source.pagenumber11623-11633en_US
dc.identifier.citationCerebral Cortex. 2023, 33 (24), 11623-11633.en_US
dc.source.volume33en_US
dc.source.issue24en_US


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