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Functional connectivity-based identification of subdivisions of the basal ganglia and thalamus using multilevel independent component analysis of resting state fMRI

DC Field Value Language
dc.contributor.author김대진-
dc.contributor.author박범희-
dc.contributor.author박해정-
dc.date.accessioned2014-12-18T08:38:19Z-
dc.date.available2014-12-18T08:38:19Z-
dc.date.issued2013-
dc.identifier.issn1065-9471-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/86679-
dc.description.abstractThis study aimed to identify subunits of the basal ganglia and thalamus and to investigate the functional connectivity among these anatomically segregated subdivisions and the cerebral cortex in healthy subjects. For this purpose, we introduced multilevel independent component analysis (ICA) of the resting-state functional magnetic resonance imaging (fMRI). After applying ICA to the whole brain gray matter, we applied second-level ICA restrictively to the basal ganglia and the thalamus area to identify discrete functional subunits of those regions. As a result, the basal ganglia and the thalamus were parcelled into 31 functional subdivisions according to their temporal activity patterns. The extracted parcels showed functional network connectivity between hemispheres, between subdivisions of the basal ganglia and thalamus, and between the extracted subdivisions and cerebral functional components. Grossly, these findings correspond to cortico-striato-thalamo-cortical circuits in the brain. This study also showed the utility of multilevel ICA of resting state fMRI in brain network research.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfHUMAN BRAIN MAPPING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHBasal Ganglia/anatomy & histology*-
dc.subject.MESHBasal Ganglia/physiology-
dc.subject.MESHBrain Mapping/methods*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHImage Interpretation, Computer-Assisted/methods*-
dc.subject.MESHMagnetic Resonance Imaging-
dc.subject.MESHMale-
dc.subject.MESHNeural Pathways/anatomy & histology-
dc.subject.MESHNeural Pathways/physiology-
dc.subject.MESHRest/physiology-
dc.subject.MESHThalamus/anatomy & histology*-
dc.subject.MESHThalamus/physiology-
dc.subject.MESHYoung Adult-
dc.titleFunctional connectivity-based identification of subdivisions of the basal ganglia and thalamus using multilevel independent component analysis of resting state fMRI-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Nuclear Medicine (핵의학)-
dc.contributor.googleauthorDae-Jin Kim-
dc.contributor.googleauthorBumhee Park-
dc.contributor.googleauthorHae-Jeong Park-
dc.identifier.doi10.1002/hbm.21517-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00370-
dc.contributor.localIdA01472-
dc.contributor.localIdA01730-
dc.relation.journalcodeJ01004-
dc.identifier.eissn1097-0193-
dc.identifier.pmid22331611-
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1002/hbm.21517/abstract-
dc.subject.keywordbasal ganglia-
dc.subject.keywordfunctional connectivity-
dc.subject.keywordindependent component analysis-
dc.subject.keywordparcellation-
dc.subject.keywordthalamus-
dc.contributor.alternativeNameKim, Dae Jin-
dc.contributor.alternativeNamePark, Bum Hee-
dc.contributor.alternativeNamePark, Hae Jeong-
dc.contributor.affiliatedAuthorKim, Dae Jin-
dc.contributor.affiliatedAuthorPark, Bum Hee-
dc.contributor.affiliatedAuthorPark, Hae Jeong-
dc.rights.accessRightsnot free-
dc.citation.volume34-
dc.citation.number6-
dc.citation.startPage1371-
dc.citation.endPage1385-
dc.identifier.bibliographicCitationHUMAN BRAIN MAPPING, Vol.34(6) : 1371-1385, 2013-
dc.identifier.rimsid29139-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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