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Alterations in the global brain network in older adults with poor sleep quality: A resting-state fMRI study
DC Field | Value | Language |
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dc.contributor.author | 김창오 | - |
dc.contributor.author | 김현창 | - |
dc.contributor.author | 이유미 | - |
dc.contributor.author | 홍남기 | - |
dc.date.accessioned | 2024-01-31T05:44:09Z | - |
dc.date.available | 2024-01-31T05:44:09Z | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 0022-3956 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/197867 | - |
dc.description.abstract | Objectives: Older adults often experience more fragmented and less restful sleep than younger individuals. However, the mechanisms in the brain that underlie these phenomena have been rarely studied. The aim of this study was to identify the differences in global brain network properties between older adults with good and poor sleep quality and to explore the relationship between these network properties and symptoms of insomnia. Methods: We performed a graph-theoretic analysis of resting-state functional magnetic resonance imaging data from two groups of older adults: 59 with good sleep quality and 59 with poor sleep quality. Functional connectivity among 264 brain regions of interest was estimated, and undirected graphs were constructed. Network topological properties were compared using one-way repeated-measures analysis of variance. Pearson's correlation analysis assessed the relationship between the mean scores of the global network properties across network sparsity and insomnia symptoms, as measured using the global Pittsburgh Sleep Quality Index score. Results: Older adults with poor sleep quality displayed increased small-world-ness, global efficiency and modularity in the functional brain network during rest. Conversely, they exhibited decreased local efficiency, characteristic path length and clustering coefficient. In the total population, we found associations between insomnia symptoms and global network characteristics, except for betweenness centrality and modularity. Conclusions: In older adults with poor sleep quality, global network measures revealed a functional brain architecture that tended towards integration rather than segregation. Further research is needed to better understand what these findings mean about the effects of aging on poor sleep quality. © 2025 Elsevier Ltd | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Pergamon Press | - |
dc.relation.isPartOf | JOURNAL OF PSYCHIATRIC RESEARCH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Alterations in the global brain network in older adults with poor sleep quality: A resting-state fMRI study | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | E-Nae Cheong a | - |
dc.contributor.googleauthor | Yumie Rhee | - |
dc.contributor.googleauthor | Chang Oh Kim | - |
dc.contributor.googleauthor | Hyeon Chang Kim | - |
dc.contributor.googleauthor | Namki Hong | - |
dc.contributor.googleauthor | Yong-Wook Shin | - |
dc.identifier.doi | 10.1016/j.jpsychires.2023.10.037 | - |
dc.contributor.localId | A01044 | - |
dc.contributor.localId | A01142 | - |
dc.contributor.localId | A03012 | - |
dc.contributor.localId | A04388 | - |
dc.relation.journalcode | J01723 | - |
dc.identifier.eissn | 1879-1379 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0022395623004752 | - |
dc.subject.keyword | Sleep | - |
dc.subject.keyword | Older adults | - |
dc.subject.keyword | Resting-state fMRI | - |
dc.subject.keyword | Global brain network | - |
dc.subject.keyword | Small-world-ness | - |
dc.subject.keyword | Global efficiency | - |
dc.contributor.alternativeName | Kim, Chang Oh | - |
dc.contributor.affiliatedAuthor | 김창오 | - |
dc.contributor.affiliatedAuthor | 김현창 | - |
dc.contributor.affiliatedAuthor | 이유미 | - |
dc.contributor.affiliatedAuthor | 홍남기 | - |
dc.citation.volume | 168 | - |
dc.citation.startPage | 100 | - |
dc.citation.endPage | 107 | - |
dc.identifier.bibliographicCitation | JOURNAL OF PSYCHIATRIC RESEARCH, Vol.168 : 100-107, 2023-12 | - |
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