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dc.contributor.authorShi, Gen
dc.contributor.authorLi, Xuesong
dc.contributor.authorZhu, Yifan
dc.contributor.authorShang, Ruihong
dc.contributor.authorSun, Yang
dc.contributor.authorGuo, Hua
dc.contributor.authorSui, Jie
dc.date.accessioned2021-09-24T11:03:01Z
dc.date.available2021-09-24T11:03:01Z
dc.date.issued2021-10-15
dc.identifier.citationShi , G , Li , X , Zhu , Y , Shang , R , Sun , Y , Guo , H & Sui , J 2021 , ' The divided brain : Functional brain asymmetry underlying self-construal ' , Neuroimage , vol. 240 , 118382 . https://doi.org/10.1016/j.neuroimage.2021.118382en
dc.identifier.issn1053-8119
dc.identifier.otherPURE: 196611253
dc.identifier.otherPURE UUID: 38617b52-f971-47bb-8b29-67cc8629b3e6
dc.identifier.otherScopus: 85110486515
dc.identifier.otherORCID: /0000-0002-4031-4456/work/100717371
dc.identifier.urihttps://hdl.handle.net/2164/17152
dc.descriptionAcknowledgments This research is partly supported by the National Natural Science Foundation of China (62071049, 61801026) & Capital Medical University Advanced Innovation Center for Big Data-Based Precision Medicine Plan (BHME-201907), and the Leverhulme Trust (RPG-2019-010).en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofNeuroimageen
dc.rights© 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en
dc.subjectself-construalen
dc.subjectresting state functional connectivity (rsFC)en
dc.subjectbrain asymmetryen
dc.subjecthemispheric specialisationen
dc.subjectBF Psychologyen
dc.subjectOtheren
dc.subjectRPG-2019-010en
dc.subjectSupplementary Informationen
dc.subject.lccBFen
dc.titleThe divided brain : Functional brain asymmetry underlying self-construalen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Psychology, Psychiatry and Neuroscienceen
dc.contributor.institutionUniversity of Aberdeen.Psychologyen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/j.neuroimage.2021.118382


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