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Clinical effect of white matter network disruption related to amyloid and small vessel disease

DC Field Value Language
dc.contributor.author김창수-
dc.contributor.author조한나-
dc.contributor.author예병석-
dc.date.accessioned2016-02-04T11:33:28Z-
dc.date.available2016-02-04T11:33:28Z-
dc.date.issued2015-
dc.identifier.issn0028-3878-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/140692-
dc.description.abstractBACKGROUND: We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. METHODS: We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. RESULTS: SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. CONCLUSIONS: We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfNEUROLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHAmyloid beta-Peptides/metabolism*-
dc.subject.MESHCognition Disorders/diagnosis-
dc.subject.MESHCognition Disorders/epidemiology-
dc.subject.MESHCognition Disorders/metabolism-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging-
dc.subject.MESHMale-
dc.subject.MESHMicrocirculation*/physiology-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNerve Net/metabolism*-
dc.subject.MESHNerve Net/pathology*-
dc.subject.MESHPositron-Emission Tomography-
dc.subject.MESHProspective Studies-
dc.subject.MESHSystemic Vasculitis/diagnosis-
dc.subject.MESHSystemic Vasculitis/epidemiology-
dc.subject.MESHSystemic Vasculitis/metabolism-
dc.subject.MESHWhite Matter/metabolism*-
dc.subject.MESHWhite Matter/pathology*-
dc.titleClinical effect of white matter network disruption related to amyloid and small vessel disease-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Preventive Medicine (예방의학)-
dc.contributor.googleauthorHee Jin Kim-
dc.contributor.googleauthorKiho Im-
dc.contributor.googleauthorHunki Kwon-
dc.contributor.googleauthorJong-Min Lee-
dc.contributor.googleauthorChangsoo Kim-
dc.contributor.googleauthorYeo Jin Kim-
dc.contributor.googleauthorNa-Yeon Jung-
dc.contributor.googleauthorHanna Cho-
dc.contributor.googleauthorByoung Seok Ye-
dc.contributor.googleauthorYoung Noh-
dc.contributor.googleauthorGeon Ha Kim-
dc.contributor.googleauthorEn-Da Ko-
dc.contributor.googleauthorJae Seung Kim-
dc.contributor.googleauthorYearn Seong Choe-
dc.contributor.googleauthorKyung Han Lee-
dc.contributor.googleauthorSung Tae Kim-
dc.contributor.googleauthorJae Hong Lee-
dc.contributor.googleauthorMichael Ewers-
dc.contributor.googleauthorMichael W. Weiner-
dc.contributor.googleauthorDuk L. Na-
dc.contributor.googleauthorSang Won Seo-
dc.identifier.doi10.1212/WNL.0000000000001705-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01042-
dc.contributor.localIdA03920-
dc.relation.journalcodeJ02340-
dc.identifier.eissn1526-632X-
dc.identifier.pmid26062629-
dc.identifier.urlhttp://www.neurology.org/content/85/1/63.abstract-
dc.contributor.alternativeNameKim, Chang Soo-
dc.contributor.alternativeNameCho, Hanna-
dc.contributor.affiliatedAuthorKim, Chang Soo-
dc.contributor.affiliatedAuthorCho, Hanna-
dc.rights.accessRightsnot free-
dc.citation.volume85-
dc.citation.number1-
dc.citation.startPage63-
dc.citation.endPage70-
dc.identifier.bibliographicCitationNEUROLOGY, Vol.85(1) : 63-70, 2015-
dc.identifier.rimsid30250-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers

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