<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Peter C</submitter><funding>NIA NIH HHS</funding><pagination>825-836</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12150229</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>82(8)</volume><pubmed_abstract>&lt;h4>Importance&lt;/h4>There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).&lt;h4>Objective&lt;/h4>To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.&lt;h4>Design setting and participants&lt;/h4>This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite &lt;i>z&lt;/i> scores, demographic and clinical data, were aged 50 years or older, and</pubmed_abstract><journal>JAMA neurology</journal><pubmed_title>White Matter Abnormalities and Cognition in Aging and Alzheimer Disease.</pubmed_title><pmcid>PMC12150229</pmcid><funding_grant_id>R01 AG080821</funding_grant_id><funding_grant_id>R01 AG085571</funding_grant_id><funding_grant_id>R01 AG034962</funding_grant_id><funding_grant_id>R01 AG083865</funding_grant_id><pubmed_authors>Mez J</pubmed_authors><pubmed_authors>Scollard P</pubmed_authors><pubmed_authors>Wang D</pubmed_authors><pubmed_authors>Zaras D</pubmed_authors><pubmed_authors>Gao C</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors><pubmed_authors>Cuccaro ML</pubmed_authors><pubmed_authors>Tosun-Turgut D</pubmed_authors><pubmed_authors>Gaynor LS</pubmed_authors><pubmed_authors>Davatzikos C</pubmed_authors><pubmed_authors>and the Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC) Analyst Team</pubmed_authors><pubmed_authors>Sathe A</pubmed_authors><pubmed_authors>Bolton CJ</pubmed_authors><pubmed_authors>Durant A</pubmed_authors><pubmed_authors>Habes M</pubmed_authors><pubmed_authors>Crane PK</pubmed_authors><pubmed_authors>Beason-Held LL</pubmed_authors><pubmed_authors>Yao T</pubmed_authors><pubmed_authors>Erus G</pubmed_authors><pubmed_authors>Ramadass K</pubmed_authors><pubmed_authors>Bendlin BB</pubmed_authors><pubmed_authors>Hohman TJ</pubmed_authors><pubmed_authors>Schilling KG</pubmed_authors><pubmed_authors>Yang Y</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Huo Y</pubmed_authors><pubmed_authors>Shashikumar N</pubmed_authors><pubmed_authors>Mukherjee S</pubmed_authors><pubmed_authors>Thompson PM</pubmed_authors><pubmed_authors>Lee ML</pubmed_authors><pubmed_authors>Pechman KR</pubmed_authors><pubmed_authors>Kukull W</pubmed_authors><pubmed_authors>Barnes LL</pubmed_authors><pubmed_authors>Arfanakis K</pubmed_authors><pubmed_authors>Jefferson AL</pubmed_authors><pubmed_authors>Newlin NR</pubmed_authors><pubmed_authors>Toga AW</pubmed_authors><pubmed_authors>Dumitrescu LC</pubmed_authors><pubmed_authors>Peter C</pubmed_authors><pubmed_authors>Johnson SC</pubmed_authors><pubmed_authors>Risacher SL</pubmed_authors><pubmed_authors>An Y</pubmed_authors><pubmed_authors>Biber SA</pubmed_authors><pubmed_authors>Resnick SM</pubmed_authors><pubmed_authors>Kim ME</pubmed_authors><pubmed_authors>Saykin AJ</pubmed_authors><pubmed_authors>Landman BA</pubmed_authors><pubmed_authors>Khairi NM</pubmed_authors><pubmed_authors>Klinedinst B</pubmed_authors><pubmed_authors>Workmeister AW</pubmed_authors><pubmed_authors>Kanakaraj P</pubmed_authors><pubmed_authors>Schneider J</pubmed_authors><pubmed_authors>Albert M</pubmed_authors><pubmed_authors>Archer DB</pubmed_authors><pubmed_authors>Bennett DA</pubmed_authors><pubmed_authors>Gifford KA</pubmed_authors><pubmed_authors>Choi SE</pubmed_authors><pubmed_authors>Jackson TB</pubmed_authors><pubmed_authors>Sanders EA</pubmed_authors><pubmed_authors>Trittschuh EH</pubmed_authors></additional><is_claimable>false</is_claimable><name>White Matter Abnormalities and Cognition in Aging and Alzheimer Disease.</name><description>&lt;h4>Importance&lt;/h4>There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).&lt;h4>Objective&lt;/h4>To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.&lt;h4>Design setting and participants&lt;/h4>This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite &lt;i>z&lt;/i> scores, demographic and clinical data, were aged 50 years or older, and</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-05-04T18:48:35.322Z</modification><creation>2026-04-07T20:47:50.848Z</creation></dates><accession>S-EPMC12150229</accession><cross_references><pubmed>40513084</pubmed><doi>10.1001/jamaneurol.2025.1601</doi></cross_references></HashMap>