{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li M"],"funding":["NICHD NIH HHS","NIBIB NIH HHS","NIA NIH HHS","NIMH NIH HHS","NINDS NIH HHS","National Institutes of Health","NIH HHS"],"pagination":["bhae114"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10958767"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["34(3)"],"pubmed_abstract":["Cognitive decline with aging involves multifactorial processes, including changes in brain structure and function. This study focuses on the role of white matter functional characteristics, as reflected in blood oxygenation level-dependent signals, in age-related cognitive deterioration. Building on previous research confirming the reproducibility and age-dependence of blood oxygenation level-dependent signals acquired via functional magnetic resonance imaging, we here employ mediation analysis to test if aging affects cognition through white matter blood oxygenation level-dependent signal changes, impacting various cognitive domains and specific white matter regions. We used independent component analysis of resting-state blood oxygenation level-dependent signals to segment white matter into coherent hubs, offering a data-driven view of white matter's functional architecture. Through correlation analysis, we constructed a graph network and derived metrics to quantitatively assess regional functional properties based on resting-state blood oxygenation level-dependent fluctuations. Our analysis identified significant mediators in the age-cognition relationship, indicating that aging differentially influences cognitive functions by altering the functional characteristics of distinct white matter regions. These findings enhance our understanding of the neurobiological basis of cognitive aging, highlighting the critical role of white matter in maintaining cognitive integrity and proposing new approaches to assess interventions targeting cognitive decline in older populations."],"journal":["Cerebral cortex (New York, N.Y. : 1991)"],"pubmed_title":["Quantification of mediation effects of white matter functional characteristics on cognitive decline in aging."],"pmcid":["PMC10958767"],"funding_grant_id":["RF1 MH123201","P50 HD103537","T32 EB001628","F31 HD090923","K01 AG030514","R01 NS113832","R01 NS129855","K01 EB032898","U01 AG052564"],"pubmed_authors":["Schilling KG","Xu L","Choi S","Landman BA","Gore JC","Gao Y","Anderson AW","Ding Z","Gao F","Li M","Zu Z"],"additional_accession":[]},"is_claimable":false,"name":"Quantification of mediation effects of white matter functional characteristics on cognitive decline in aging.","description":"Cognitive decline with aging involves multifactorial processes, including changes in brain structure and function. This study focuses on the role of white matter functional characteristics, as reflected in blood oxygenation level-dependent signals, in age-related cognitive deterioration. Building on previous research confirming the reproducibility and age-dependence of blood oxygenation level-dependent signals acquired via functional magnetic resonance imaging, we here employ mediation analysis to test if aging affects cognition through white matter blood oxygenation level-dependent signal changes, impacting various cognitive domains and specific white matter regions. We used independent component analysis of resting-state blood oxygenation level-dependent signals to segment white matter into coherent hubs, offering a data-driven view of white matter's functional architecture. Through correlation analysis, we constructed a graph network and derived metrics to quantitatively assess regional functional properties based on resting-state blood oxygenation level-dependent fluctuations. Our analysis identified significant mediators in the age-cognition relationship, indicating that aging differentially influences cognitive functions by altering the functional characteristics of distinct white matter regions. These findings enhance our understanding of the neurobiological basis of cognitive aging, highlighting the critical role of white matter in maintaining cognitive integrity and proposing new approaches to assess interventions targeting cognitive decline in older populations.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2026-05-29T09:29:58.931Z","creation":"2025-04-06T10:51:47.916Z"},"accession":"S-EPMC10958767","cross_references":{"pubmed":["38517178"],"doi":["10.1093/cercor/bhae114"]}}