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Prefrontal functional connectivity analysis of cognitive decline for early diagnosis of mild cognitive impairment: A functional near-infrared spectroscopy study
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dc.contributor.author Yu, Jin-Woo -
dc.contributor.author Lim, Sung-Ho -
dc.contributor.author Kim, Bomin -
dc.contributor.author Kim, Eunho -
dc.contributor.author Kim, Kyungsoo -
dc.contributor.author Park, Sung Kyu -
dc.contributor.author Byun, Young Seok -
dc.contributor.author Sakong, Joon -
dc.contributor.author Choi, Ji-Woong -
dc.date.accessioned 2020-04-13T06:23:16Z -
dc.date.available 2020-04-13T06:23:16Z -
dc.date.created 2020-03-31 -
dc.date.issued 2020-04 -
dc.identifier.issn 2156-7085 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/11665 -
dc.description.abstract Cognitive decline (CD) is a major symptom of mild cognitive impairment (MCI). Patients with MCI have an increased likelihood of developing Alzheimer's disease (AD). Although a cure for AD is currently lacking, medication therapies and/or daily training in the early stage can alleviate disease progression and improve patients' quality of life. Accordingly, investigating CD-related biomarkers via brain imaging devices is crucial for early diagnosis. In particular, “portable” brain imaging devices enable frequent diagnostic checks as a routine clinical tool, and therefore increase the possibility of early AD diagnosis. This study aimed to comprehensively investigate functional connectivity (FC) in the prefrontal cortex measured by a portable functional near-infrared spectroscopy (fNIRS) device during a working memory (WM) task known as the delayed matching to sample (DMTS) task. Differences in prefrontal FC between healthy control (HC) (n = 23) and CD groups (n = 23) were examined. Intra-group analysis (one-sample t-test) revealed significantly greater prefrontal FC, especially left- and inter-hemispheric FC, in the CD group than in the HC. These observations could be due to a compensatory mechanism of the prefrontal cortex caused by hippocampal degeneration. Inter-group analysis (unpaired two-sample t-test) revealed significant intergroup differences in left- and inter-hemispheric FC. These attributes may serve as a novel biomarker for early detection of MCI. In addition, our findings imply that portable fNIRS devices covering the prefrontal cortex may be useful for early diagnosis of MCI. © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement -
dc.language English -
dc.publisher Optical Society of America -
dc.title Prefrontal functional connectivity analysis of cognitive decline for early diagnosis of mild cognitive impairment: A functional near-infrared spectroscopy study -
dc.type Article -
dc.identifier.doi 10.1364/BOE.382197 -
dc.identifier.wosid 000523980200002 -
dc.identifier.scopusid 2-s2.0-85082818813 -
dc.identifier.bibliographicCitation Yu, Jin-Woo. (2020-04). Prefrontal functional connectivity analysis of cognitive decline for early diagnosis of mild cognitive impairment: A functional near-infrared spectroscopy study. Biomedical Optics Express, 11(4), 1725–1741. doi: 10.1364/BOE.382197 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordPlus WORKING-MEMORY -
dc.subject.keywordPlus EXECUTIVE FUNCTIONS -
dc.subject.keywordPlus ALZHEIMERS-DISEASE -
dc.subject.keywordPlus PERFORMANCE -
dc.subject.keywordPlus ACTIVATION -
dc.subject.keywordPlus CORTEX -
dc.subject.keywordPlus FNIRS -
dc.subject.keywordPlus MCI -
dc.subject.keywordPlus ATTENTION -
dc.subject.keywordPlus TISSUE -
dc.citation.endPage 1741 -
dc.citation.number 4 -
dc.citation.startPage 1725 -
dc.citation.title Biomedical Optics Express -
dc.citation.volume 11 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Biochemistry & Molecular Biology; Optics; Radiology, Nuclear Medicine & Medical Imaging -
dc.relation.journalWebOfScienceCategory Biochemical Research Methods; Optics; Radiology, Nuclear Medicine & Medical Imaging -
dc.type.docType Article -
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최지웅
Choi, Ji-Woong최지웅

Department of Electrical Engineering and Computer Science

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