Association between brain tau deposition and default mode network connectivity in cognitively normal older adults

dc.contributor.authorCha, Woo-Jin
dc.contributor.authorYi, Dahyun
dc.contributor.authorChumin, Evgeny J.
dc.contributor.authorByun, Min Soo
dc.contributor.authorJung, Joon Hyung
dc.contributor.authorAhn, Hyejin
dc.contributor.authorKim, Yu Kyeong
dc.contributor.authorLee, Yun-Sang
dc.contributor.authorKang, Koung Mi
dc.contributor.authorSohn, Chul-Ho
dc.contributor.authorRisacher, Shannon L.
dc.contributor.authorSporns, Olaf
dc.contributor.authorNho, Kwangsik
dc.contributor.authorSaykin, Andrew J.
dc.contributor.authorLee, Dong Young
dc.contributor.authorKBASE Research Group
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicine
dc.date.accessioned2025-02-26T14:06:02Z
dc.date.available2025-02-26T14:06:02Z
dc.date.issued2025-01-09
dc.description.abstractBackground: Alzheimer’s disease (AD) pathology occurs in the brain before manifestation of significant cognitive decline. Growing evidence suggests that brain networks such as default mode network (DMN) or salience network, identified through resting‐state functional magnetic resonance imaging (MRI), are affected by AD pathology. In this study, we investigated the relationship between network segregation and the key in vivo AD pathologies including beta‐amyloid (Aβ) and tau deposition in old adults with no cognitive impairment. Method: A total 283 older adults with normal cognition aging from 55 to 87 were recruited from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s Disease (KBASE) cohort. The participants underwent comprehensive clinical and neuropsychological assessment, [11C] Pittsburgh Compound B PET for measuring Aβ deposition, [18F] AV‐1451 PET for measuring tau deposition, structural MRI, and resting‐state functional MRI for measuring functional connectivity (FC). For PET scans, standard uptake value ratio (SUVR) was used for the analyses; combined regions of inferior cerebellum and pons were used as the reference region when obtaining SUVRs. For FC, segregation values (ratios between median z‐transformed Pearson correlation of within‐ and between‐network connectivity) for overall and the seven individual resting state networks were computed (Table). The relationships between Aβ or tau deposition and network connectivity segregation were examined through cross‐sectional approach using multiple regression analyses. In the analyses, Aβ or tau deposition was used as an independent variable and segregation values of the networks were used as dependent variables. Result: Tau deposition had a significant negative association with the DMN segregation (β = ‐0.249, p = 0.007); but, tau had no relationships with any other networks (Table). Aβ deposition was not associated with any segregation values for the seven brain networks (Table). Conclusion: Our finding suggests that impaired functional connectivity of DMN is closely linked to tau deposition even in cognitively unimpaired older individuals.
dc.eprint.versionFinal published version
dc.identifier.citationCha WJ, Yi D, Chumin EJ, et al. Association between brain tau deposition and default mode network connectivity in cognitively normal older adults. Alzheimers Dement. 2025;20(Suppl 2):e090633. Published 2025 Jan 9. doi:10.1002/alz.090633
dc.identifier.urihttps://hdl.handle.net/1805/46068
dc.language.isoen_US
dc.publisherWiley
dc.relation.isversionof10.1002/alz.090633
dc.relation.journalAlzheimer's & Dementia
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.sourcePMC
dc.subjectAlzheimer’s disease (AD) pathology
dc.subjectCognitive decline
dc.subjectBrain networks
dc.titleAssociation between brain tau deposition and default mode network connectivity in cognitively normal older adults
dc.typeAbstract
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