Classification of Mild Cognitive Impairment and Alzheimer's Disease Using Manual Motor Measures

Vincent Koppelmans*, Marit F.L. Ruitenberg, Sydney Y. Schaefer, Jace B. King, Jasmine M. Jacobo, Benjamin P. Silvester, Amanda F. Mejia, Jos Van Der Geest, John M. Hoffman, Tolga Tasdizen, Kevin Duff

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
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Abstract

Introduction: Manual motor problems have been reported in mild cognitive impairment (MCI) and Alzheimer's disease (AD), but the specific aspects that are affected, their neuropathology, and potential value for classification modeling is unknown. The current study examined if multiple measures of motor strength, dexterity, and speed are affected in MCI and AD, related to AD biomarkers, and are able to classify MCI or AD. Methods: Fifty-three cognitively normal (CN), 33 amnestic MCI, and 28 AD subjects completed five manual motor measures: grip force, Trail Making Test A, spiral tracing, finger tapping, and a simulated feeding task. Analyses included (1) group differences in manual performance; (2) associations between manual function and AD biomarkers (PET amyloid β, hippocampal volume, and APOE 4 alleles); and (3) group classification accuracy of manual motor function using machine learning. Results: Amnestic MCI and AD subjects exhibited slower psychomotor speed and AD subjects had weaker dominant hand grip strength than CN subjects. Performance on these measures was related to amyloid β deposition (both) and hippocampal volume (psychomotor speed only). Support vector classification well-discriminated control and AD subjects (area under the curve of 0.73 and 0.77, respectively) but poorly discriminated MCI from controls or AD. Conclusion: Grip strength and spiral tracing appear preserved, while psychomotor speed is affected in amnestic MCI and AD. The association of motor performance with amyloid β deposition and atrophy could indicate that this is due to amyloid deposition in and atrophy of motor brain regions, which generally occurs later in the disease process. The promising discriminatory abilities of manual motor measures for AD emphasize their value alongside other cognitive and motor assessment outcomes in classification and prediction models, as well as potential enrichment of outcome variables in AD clinical trials.

Original languageEnglish
Pages (from-to)54-70
Number of pages17
JournalNeurodegenerative Diseases
Volume24
Issue number2
DOIs
Publication statusPublished - 1 Sept 2024

Bibliographical note

Publisher Copyright: © 2024 The Author(s). Published by S. Karger AG, Basel.

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