2021
DOI: 10.1101/2021.05.31.21258061
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Association between motor task acquisition and hippocampal atrophy across cognitively unimpaired, amnestic Mild Cognitive Impairment, and Alzheimer’s disease individuals

Abstract: Hippocampal atrophy is a widely used biomarker for Alzheimer's disease (AD), but the cost, time, and contraindications associated with magnetic resonance imaging (MRI) limit its use. Recent work has shown that a low-cost upper extremity motor task has potential in identifying AD risk. Fifty-four older adults (15 cognitively unimpaired, 24 amnestic Mild Cognitive Impairment, and 15 AD) completed six motor task trials and a structural MRI. Motor task acquisition significantly predicted bilateral hippocampal volu… Show more

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Cited by 2 publications
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“…Research has shown that accelerated decline in visuospatial function may be an early biomarker of prodromal AD [ 78 80 ]. Given that ATR degeneration is associated with AD progression [ 81 , 82 ] and that the complex figure copy/recall tests may predict AD onset (up to 20 years before clinical AD) [ 83 ], results from this study suggest that an assessment of motor learning could help better identify disease progression in asymptomatic stages [ 84 , 85 ]. A future study that extends our preliminary work is needed to determine the feasibility and efficacy of clinical visuospatial testing to predict motor rehabilitation outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Research has shown that accelerated decline in visuospatial function may be an early biomarker of prodromal AD [ 78 80 ]. Given that ATR degeneration is associated with AD progression [ 81 , 82 ] and that the complex figure copy/recall tests may predict AD onset (up to 20 years before clinical AD) [ 83 ], results from this study suggest that an assessment of motor learning could help better identify disease progression in asymptomatic stages [ 84 , 85 ]. A future study that extends our preliminary work is needed to determine the feasibility and efficacy of clinical visuospatial testing to predict motor rehabilitation outcomes.…”
Section: Discussionmentioning
confidence: 99%