Using Motor Learning to Predict Cognitive and Functional Decline in Mild Cognitive Impairment and Alzheimer’s Disease

Speed and variability on a brief, easy-to-administer (∼5-7 minutes), cost-efficient functional upper limb motor learning task predicted cognitive and functional change over one year across the AD spectrum. These promising results suggest that the SFT could be used in clinical practice to help predict disease progression, as well as a screening tool in clinical trials in MCI and AD.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.090898
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Motor Learning to Predict Cognitive and Functional Decline in Mild Cognitive Impairment and Alzheimer’s Disease

Vincent Koppelmans, Sydney Y. Schaefer, Kevin M. Duff
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Using Motor Learning to Predict Cognitive and Functional Decline in Mild Cognitive Impairment and Alzheimer’s Disease

Vincent Koppelmans, Sydney Y. Schaefer, Kevin M. Duff
article en

Abstract

Speed and variability on a brief, easy-to-administer (∼5-7 minutes), cost-efficient functional upper limb motor learning task predicted cognitive and functional change over one year across the AD spectrum. These promising results suggest that the SFT could be used in clinical practice to help predict disease progression, as well as a screening tool in clinical trials in MCI and AD.

Alzheimer s & DementiaVol. 20(S3)
University of Utah (US), Layton BioScience (United States) (US), Arizona State University (US)
Openalex Percentile: Top 66%
Dementia and Cognitive Impairment Research
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