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Morphological similarity of amygdala-ventral prefrontal pathways represents trait anxiety in younger and older adults

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dc.contributor.authorKim, Wonyoung-
dc.contributor.authorM Justin Kim-
dc.date.accessioned2023-01-26T02:42:33Z-
dc.date.available2023-01-26T02:42:33Z-
dc.date.created2022-10-29-
dc.date.issued2022-10-
dc.identifier.issn0027-8424-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/12690-
dc.description.abstractStronger amygdala-ventral prefrontal white matter connectivity has been associated with lower trait anxiety, possibly reflecting an increased capacity for efficient communication between the two regions. However, there are also reports arguing against this brain-anxiety association. To address these inconsistencies in the literature, we tested the possibility that idiosyncratic tract morphology may account for meaningful individual differences in trait anxiety, even among those with comparable microstructural integrity. Here, we adopted intersubject representational similarity analysis, an analytic framework that captures multivariate patterns of similarity, to analyze the morphological similarity of amygdala-ventral prefrontal pathways. Data drawn from the Leipzig Study for Mind-Body-Emotion Interactions dataset showed that younger adults (20 to 35 y of age) with low trait anxiety, in contrast to trait-anxious individuals, had consistently similar morphological configurations in their left amygdala-ventral prefrontal pathways. Additional tests on an independent sample of older adults (60 to 75 y of age) validated this finding. Our study reveals a generalizable pattern of brain-anxiety association that is embedded within the shared geometries between fiber tract morphology and trait anxiety data.-
dc.language영어-
dc.publisherNLM (Medline)-
dc.titleMorphological similarity of amygdala-ventral prefrontal pathways represents trait anxiety in younger and older adults-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000998758000004-
dc.identifier.scopusid2-s2.0-85139516793-
dc.identifier.rimsid79038-
dc.contributor.affiliatedAuthorM Justin Kim-
dc.identifier.doi10.1073/pnas.2205162119-
dc.identifier.bibliographicCitationProceedings of the National Academy of Sciences of the United States of America, v.119, no.42-
dc.relation.isPartOfProceedings of the National Academy of Sciences of the United States of America-
dc.citation.titleProceedings of the National Academy of Sciences of the United States of America-
dc.citation.volume119-
dc.citation.number42-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusSURFACE-BASED ANALYSIS-
dc.subject.keywordPlusFUNCTIONAL CONNECTIVITY-
dc.subject.keywordPlusSTRUCTURAL CONNECTIVITY-
dc.subject.keywordPlusINDIVIDUAL-DIFFERENCES-
dc.subject.keywordPlusMATTER TRACT INTEGRITY-
dc.subject.keywordPlusHEAD MOTION-
dc.subject.keywordPlusBRAIN-
dc.subject.keywordPlusEMOTION-
dc.subject.keywordPlusSEGMENTATION-
dc.subject.keywordPlusREGRESSION-
dc.subject.keywordAuthoramygdala-
dc.subject.keywordAuthordiffusion-weighted imaging-
dc.subject.keywordAuthorprefrontal cortex-
dc.subject.keywordAuthorrepresentational similarity-
dc.subject.keywordAuthortrait anxiety-
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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