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Altered structural brain network resulting from white matter injury in obstructive sleep apnea

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dc.contributor.authorLee, Min-Hee-
dc.contributor.authorYun, Chang-Ho-
dc.contributor.authorMin, Areum-
dc.contributor.authorHwang, Yoon Ho-
dc.contributor.authorLee, Seung Ku-
dc.contributor.authorKim, Dong Youn-
dc.contributor.authorThomas, Robert J.-
dc.contributor.authorHan, Bong Soo-
dc.contributor.authorShin, Chol-
dc.date.accessioned2021-09-01T07:49:15Z-
dc.date.available2021-09-01T07:49:15Z-
dc.date.created2021-06-18-
dc.date.issued2019-09-
dc.identifier.issn0161-8105-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/63084-
dc.description.abstractStudy Objectives: To assess, using fractional anisotropy (FA) analysis, alterations of brain network connectivity in adults with obstructive sleep apnea (OSA). Abnormal networks could mediate clinical functional deficits and reflect brain tissue injury. Methods: Structural brain networks were constructed using diffusion tensor imaging (DTI) from 165 healthy (age 57.99 +/- 6.02 years, male 27.9%) and 135 OSA participants (age 59.01 +/- 5.91 years, male 28.9%) and global network properties (strength, global efficiency, and local efficiency) and regional efficiency were compared between groups. We examined MRI biomarkers of brain tissue injury using FA analysis and its effect on the network properties. Results: Differences between groups of interest were noted in global network properties (p-value < 0.05, corrected), and regional efficiency (p-value < 0.05, corrected) in the left middle cingulate and paracingulate gyri, right posterior cingulate gyrus, and amygdala. In FA analysis, OSA participants showed lower FA values in white matter (WM) of the right transverse temporal, anterior cingulate and paracingulate gyri, and left postcentral, middle frontal and medial frontal gyri, and the putamen. After culling fiber tracts through WM which showed significant differences in FA, we observed no group difference in network properties. Conclusions: Changes in WM integrity and structural connectivity are present in OSA participants. We found that the integrity of WM affected brain network properties. Brain network analysis may improve understanding of neurocognitive deficits in OSA, enable longitudinal tracking, and provides explanations for specific symptoms and recovery kinetics.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS INC-
dc.subjectSPATIAL-LEARNING DEFICITS-
dc.subjectNITRIC-OXIDE SYNTHASE-
dc.subjectINTERMITTENT HYPOXIA-
dc.subjectWORKING-MEMORY-
dc.subjectNEUROLOGICAL DYSFUNCTION-
dc.subjectCOGNITIVE IMPAIRMENT-
dc.subjectOXIDATIVE STRESS-
dc.subjectOXYGEN-THERAPY-
dc.subjectMOUSE MODEL-
dc.subjectCORTEX-
dc.titleAltered structural brain network resulting from white matter injury in obstructive sleep apnea-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Chol-
dc.identifier.doi10.1093/sleep/zsz120-
dc.identifier.scopusid2-s2.0-85073214971-
dc.identifier.wosid000493384500004-
dc.identifier.bibliographicCitationSLEEP, v.42, no.9-
dc.relation.isPartOfSLEEP-
dc.citation.titleSLEEP-
dc.citation.volume42-
dc.citation.number9-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusSPATIAL-LEARNING DEFICITS-
dc.subject.keywordPlusNITRIC-OXIDE SYNTHASE-
dc.subject.keywordPlusINTERMITTENT HYPOXIA-
dc.subject.keywordPlusWORKING-MEMORY-
dc.subject.keywordPlusNEUROLOGICAL DYSFUNCTION-
dc.subject.keywordPlusCOGNITIVE IMPAIRMENT-
dc.subject.keywordPlusOXIDATIVE STRESS-
dc.subject.keywordPlusOXYGEN-THERAPY-
dc.subject.keywordPlusMOUSE MODEL-
dc.subject.keywordPlusCORTEX-
dc.subject.keywordAuthorobstructive sleep apnea-
dc.subject.keywordAuthordiffusion tensor imaging-
dc.subject.keywordAuthorfractional anisotropy-
dc.subject.keywordAuthorstructural brain network-
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