<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Richerson WT</submitter><funding>NCATS NIH HHS</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><pagination>178-187</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11014772</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>28(2)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Hemodialysis patients have increased white matter and gray matter pathology in the brain relative to controls based on MRI. Diffusion tensor imaging is useful in detecting differences between hemodialysis and controls but has not identified the expected longitudinal decline in hemodialysis patients. In this study we implemented specialized post-processing techniques to reduce noise to detect longitudinal changes in diffusion tensor imaging parameters and evaluated for any association with changes in cognition.&lt;h4>Methods&lt;/h4>We collected anatomical and diffusion MRIs as well as cognitive testing from in-center hemodialysis patients at baseline and 1 year later. Gray matter thickness, white matter volume, and white matter diffusion tensor imaging parameters were measure</pubmed_abstract><journal>Hemodialysis international. International Symposium on Home Hemodialysis</journal><pubmed_title>Longitudinal changes in diffusion tensor imaging in hemodialysis patients.</pubmed_title><pmcid>PMC11014772</pmcid><funding_grant_id>K23 DK113119</funding_grant_id><funding_grant_id>NCATS TL‐1TR001437</funding_grant_id><funding_grant_id>NCATS TL-1TR001437</funding_grant_id><funding_grant_id>TL1 TR001437</funding_grant_id><pubmed_authors>Wolfgram DF</pubmed_authors><pubmed_authors>Richerson WT</pubmed_authors><pubmed_authors>Schmit BD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Longitudinal changes in diffusion tensor imaging in hemodialysis patients.</name><description>&lt;h4>Introduction&lt;/h4>Hemodialysis patients have increased white matter and gray matter pathology in the brain relative to controls based on MRI. Diffusion tensor imaging is useful in detecting differences between hemodialysis and controls but has not identified the expected longitudinal decline in hemodialysis patients. In this study we implemented specialized post-processing techniques to reduce noise to detect longitudinal changes in diffusion tensor imaging parameters and evaluated for any association with changes in cognition.&lt;h4>Methods&lt;/h4>We collected anatomical and diffusion MRIs as well as cognitive testing from in-center hemodialysis patients at baseline and 1 year later. Gray matter thickness, white matter volume, and white matter diffusion tensor imaging parameters were measure</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2025-06-25T03:04:27.562Z</modification><creation>2025-06-25T03:04:27.562Z</creation></dates><accession>S-EPMC11014772</accession><cross_references><pubmed>38351365</pubmed><doi>10.1111/hdi.13133</doi></cross_references></HashMap>