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Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning

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dc.contributor.authorKim, Junhyung-
dc.contributor.authorKim, Yong-Ku-
dc.date.accessioned2021-08-30T04:31:38Z-
dc.date.available2021-08-30T04:31:38Z-
dc.date.created2021-06-19-
dc.date.issued2021-01-
dc.identifier.issn2227-9059-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/50197-
dc.description.abstractAlzheimer's disease (AD) is the most common type of dementia, and depression is a risk factor for developing AD. Epidemiological studies provide a clinical correlation between late-life depression (LLD) and AD. Depression patients generally remit with no residual symptoms, but LLD patients demonstrate residual cognitive impairment. Due to the lack of effective treatments, understanding how risk factors affect the course of AD is essential to manage AD. Advances in neuroimaging, including resting-state functional MRI (fMRI), have been used to address neural systems that contribute to clinical symptoms and functional changes across various psychiatric disorders. Resting-state fMRI studies have contributed to understanding each of the two diseases, but the link between LLD and AD has not been fully elucidated. This review focuses on three crucial and well-established networks in AD and LLD and discusses the impacts on cognitive decline, clinical symptoms, and prognosis. Three networks are the (1) default mode network, (2) executive control network, and (3) salience network. The multiple properties emphasized here, relevant for the hypothesis of the linkage between LLD and AD, will be further developed by ongoing future studies.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectCONNECTIVITY-
dc.subjectNETWORK-
dc.titleCrosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Junhyung-
dc.contributor.affiliatedAuthorKim, Yong-Ku-
dc.identifier.doi10.3390/biomedicines9010082-
dc.identifier.scopusid2-s2.0-85099873838-
dc.identifier.wosid000609852800001-
dc.identifier.bibliographicCitationBIOMEDICINES, v.9, no.1, pp.1 - 20-
dc.relation.isPartOfBIOMEDICINES-
dc.citation.titleBIOMEDICINES-
dc.citation.volume9-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage20-
dc.type.rimsART-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaResearch & Experimental Medicine-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryMedicine, Research & Experimental-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.subject.keywordPlusCONNECTIVITY-
dc.subject.keywordPlusNETWORK-
dc.subject.keywordAuthordepression-
dc.subject.keywordAuthorlate-life depression-
dc.subject.keywordAuthordementia-
dc.subject.keywordAuthorAlzheimer&amp-
dc.subject.keywordAuthor#8217-
dc.subject.keywordAuthors disease-
dc.subject.keywordAuthorneuroimaging-
dc.subject.keywordAuthorresting-state functional magnetic resonance imaging-
dc.subject.keywordAuthordefault mode network-
dc.subject.keywordAuthorexecutive control network-
dc.subject.keywordAuthorsalience network-
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