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Article: Gray matter structures associated with neuroticism: A meta-analysis of whole-brain voxel-based morphometry studies

TitleGray matter structures associated with neuroticism: A meta-analysis of whole-brain voxel-based morphometry studies
Authors
Keywordsanisotropic effect size seed-based d mapping
dACC/mPFC
mental health
meta-analysis
neuroticism
personality neuroscience
structural magnetic resonance imaging
voxel-based morphometry
Issue Date2021
Citation
Human Brain Mapping, 2021, v. 42, n. 9, p. 2706-2721 How to Cite?
AbstractNeuroticism is major higher-order personality trait and has been robustly associated with mental and physical health outcomes. Although a growing body of studies have identified neurostructural markers of neuroticism, the results remained highly inconsistent. To characterize robust associations between neuroticism and variations in gray matter (GM) structures, the present meta-analysis investigated the concurrence across voxel-based morphometry (VBM) studies using the anisotropic effect size signed differential mapping (AES-SDM). A total of 13 studies comprising 2,278 healthy subjects (1,275 females, 29.20 ± 14.17 years old) were included. Our analysis revealed that neuroticism was consistently associated with the GM structure of a cluster spanning the bilateral dorsal anterior cingulate cortex and extending to the adjacent medial prefrontal cortex (dACC/mPFC). Meta-regression analyses indicated that the neuroticism-GM associations were not confounded by age and gender. Overall, our study is the first whole-brain meta-analysis exploring the brain structural correlates of neuroticism, and the findings may have implications for the intervention of high-neuroticism individuals, who are at risk of mental disorders, by targeting the dACC/mPFC.
Persistent Identifierhttp://hdl.handle.net/10722/330443
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 1.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Xiqin-
dc.contributor.authorLai, Han-
dc.contributor.authorLi, Jingguang-
dc.contributor.authorBecker, Benjamin-
dc.contributor.authorZhao, Yajun-
dc.contributor.authorCheng, Bochao-
dc.contributor.authorWang, Song-
dc.date.accessioned2023-09-05T12:10:41Z-
dc.date.available2023-09-05T12:10:41Z-
dc.date.issued2021-
dc.identifier.citationHuman Brain Mapping, 2021, v. 42, n. 9, p. 2706-2721-
dc.identifier.issn1065-9471-
dc.identifier.urihttp://hdl.handle.net/10722/330443-
dc.description.abstractNeuroticism is major higher-order personality trait and has been robustly associated with mental and physical health outcomes. Although a growing body of studies have identified neurostructural markers of neuroticism, the results remained highly inconsistent. To characterize robust associations between neuroticism and variations in gray matter (GM) structures, the present meta-analysis investigated the concurrence across voxel-based morphometry (VBM) studies using the anisotropic effect size signed differential mapping (AES-SDM). A total of 13 studies comprising 2,278 healthy subjects (1,275 females, 29.20 ± 14.17 years old) were included. Our analysis revealed that neuroticism was consistently associated with the GM structure of a cluster spanning the bilateral dorsal anterior cingulate cortex and extending to the adjacent medial prefrontal cortex (dACC/mPFC). Meta-regression analyses indicated that the neuroticism-GM associations were not confounded by age and gender. Overall, our study is the first whole-brain meta-analysis exploring the brain structural correlates of neuroticism, and the findings may have implications for the intervention of high-neuroticism individuals, who are at risk of mental disorders, by targeting the dACC/mPFC.-
dc.languageeng-
dc.relation.ispartofHuman Brain Mapping-
dc.subjectanisotropic effect size seed-based d mapping-
dc.subjectdACC/mPFC-
dc.subjectmental health-
dc.subjectmeta-analysis-
dc.subjectneuroticism-
dc.subjectpersonality neuroscience-
dc.subjectstructural magnetic resonance imaging-
dc.subjectvoxel-based morphometry-
dc.titleGray matter structures associated with neuroticism: A meta-analysis of whole-brain voxel-based morphometry studies-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/hbm.25395-
dc.identifier.pmid33704850-
dc.identifier.scopuseid_2-s2.0-85102275790-
dc.identifier.volume42-
dc.identifier.issue9-
dc.identifier.spage2706-
dc.identifier.epage2721-
dc.identifier.eissn1097-0193-
dc.identifier.isiWOS:000627483000001-

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