<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Malek-Ahmadi M</submitter><funding>NCATS NIH HHS</funding><funding>NIA NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH HHS</funding><funding>National Institute on Aging</funding><pagination>112087</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9974847</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>173</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>The mechanisms linking motor function to Alzheimer's disease (AD) progression have not been well studied, despite evidence of AD pathology within motor brain regions. Thus, there is a need for new motor measure that is sensitive and specific to AD.&lt;h4>Methods&lt;/h4>In a sample of 121 older adults (54 cognitive unimpaired [CU], 35 amnestic Mild Cognitive Impairment [aMCI], and 32 probable mild AD), intrasubject standard deviation (ISD) across six trials of a novel upper-extremity motor task was predicted with volumetric regional gray matter and neuropsychological scores using classification and regression tree (CART) analyses.&lt;h4>Results&lt;/h4>Both gray matter and neuropsychological CART models indicated that motor task ISD (our measure of motor learning) was related to cor</pubmed_abstract><journal>Experimental gerontology</journal><pubmed_title>Volumetric regional MRI and neuropsychological predictors of motor task variability in cognitively unimpaired, Mild Cognitive Impairment, and probable Alzheimer's disease older adults.</pubmed_title><pmcid>PMC9974847</pmcid><funding_grant_id>S10 OD018482</funding_grant_id><funding_grant_id>R01AG055428</funding_grant_id><funding_grant_id>K01 AG073578</funding_grant_id><funding_grant_id>R01 AG055428</funding_grant_id><funding_grant_id>P30 AG072980</funding_grant_id><funding_grant_id>UL1 TR002538</funding_grant_id><pubmed_authors>Koppelmans V</pubmed_authors><pubmed_authors>Chen K</pubmed_authors><pubmed_authors>Duff K</pubmed_authors><pubmed_authors>Malek-Ahmadi M</pubmed_authors><pubmed_authors>Su Y</pubmed_authors><pubmed_authors>King JB</pubmed_authors><pubmed_authors>Schaefer SY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Volumetric regional MRI and neuropsychological predictors of motor task variability in cognitively unimpaired, Mild Cognitive Impairment, and probable Alzheimer's disease older adults.</name><description>&lt;h4>Introduction&lt;/h4>The mechanisms linking motor function to Alzheimer's disease (AD) progression have not been well studied, despite evidence of AD pathology within motor brain regions. Thus, there is a need for new motor measure that is sensitive and specific to AD.&lt;h4>Methods&lt;/h4>In a sample of 121 older adults (54 cognitive unimpaired [CU], 35 amnestic Mild Cognitive Impairment [aMCI], and 32 probable mild AD), intrasubject standard deviation (ISD) across six trials of a novel upper-extremity motor task was predicted with volumetric regional gray matter and neuropsychological scores using classification and regression tree (CART) analyses.&lt;h4>Results&lt;/h4>Both gray matter and neuropsychological CART models indicated that motor task ISD (our measure of motor learning) was related to cor</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Mar</publication><modification>2025-04-03T23:50:27.307Z</modification><creation>2025-04-03T23:50:27.307Z</creation></dates><accession>S-EPMC9974847</accession><cross_references><pubmed>36639062</pubmed><doi>10.1016/j.exger.2023.112087</doi></cross_references></HashMap>