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Influence ofAPOE Genotype on Whole-Brain Functional Networks in Cognitively Normal Elderly

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dc.contributor.authorSeo, Eun Hyun-
dc.contributor.authorLee, Dong Young-
dc.contributor.authorLee, Jong-Min-
dc.contributor.authorPark, Jun-Sung-
dc.contributor.authorSohn, Bo Kyung-
dc.contributor.authorChoe, Young Min-
dc.contributor.authorByun, Min Soo-
dc.contributor.authorChoi, Hyo Jung-
dc.contributor.authorWoo, Jong Inn-
dc.date.accessioned2022-07-16T07:08:56Z-
dc.date.available2022-07-16T07:08:56Z-
dc.date.created2021-05-12-
dc.date.issued2013-12-
dc.identifier.issn1932-6203-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/161331-
dc.description.abstractThis study aimed to investigate the influence of apolipoprotein E (APOE) epsilon 4 allele on whole-brain functional networks in cognitively normal (CN) elderly by applying graph theoretical analysis to brain glucose metabolism. Eighty-six CN elderly [28 APOE epsilon 4 carriers (epsilon 4+) and 58 non-carriers (epsilon 4-)] underwent clinical evaluation and resting [F-18] fluorodeoxyglucose positron emission tomography scan. Whole-brain functional networks were constructed from correlations of the 90 regions of interest using the automated anatomical labeling template, and analyzed using graph theoretical approaches. The overall small-world property seen in epsilon 4- was preserved in epsilon 4+. However, both local clustering and path length were lower in epsilon 4+ compared to epsilon 4-. In terms of the hubs of functional networks, epsilon 4+ showed decreased centrality of the right hippocampus but increased centrality of several brain regions associated with the default mode network compared to epsilon 4-. Our results indicate that genetic vulnerability to Alzheimer's disease may alter whole-brain functional networks even before clinical symptoms appear.-
dc.language영어-
dc.language.isoen-
dc.publisherPUBLIC LIBRARY SCIENCE-
dc.titleInfluence ofAPOE Genotype on Whole-Brain Functional Networks in Cognitively Normal Elderly-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Jong-Min-
dc.identifier.doi10.1371/journal.pone.0083205-
dc.identifier.scopusid2-s2.0-84892622581-
dc.identifier.wosid000328730300139-
dc.identifier.bibliographicCitationPLOS ONE, v.8, no.12, pp.1 - 9-
dc.relation.isPartOfPLOS ONE-
dc.citation.titlePLOS ONE-
dc.citation.volume8-
dc.citation.number12-
dc.citation.startPage1-
dc.citation.endPage9-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusAPOLIPOPROTEIN-E EPSILON-4-
dc.subject.keywordPlusPOSITRON-EMISSION-TOMOGRAPHY-
dc.subject.keywordPlusGRAPH-THEORETICAL ANALYSIS-
dc.subject.keywordPlusALZHEIMERS-DISEASE-
dc.subject.keywordPlusGENETIC RISK-
dc.subject.keywordPlusTOPOLOGICAL PATTERNS-
dc.subject.keywordPlusBLOOD-FLOW-
dc.subject.keywordPlusALLELE-
dc.subject.keywordPlusMRI-
dc.subject.keywordPlusASSOCIATION-
dc.identifier.urlhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0083205-
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