Improving Prediction of Amyloid Deposition in Mild Cognitive Impairment With a Timed Motor Task

Authors

Sydney Y. Schaefer, Arizona State University
Kevin Duff, University of Utah
Andrew Hooyman, Chapman UniversityFollow
John M. Hoffman, University of Utah

Document Type

Article

Publication Date

2-24-2022

Abstract

Cortical amyloid deposition is one of the hallmark biomarkers of Alzheimer’s disease (AD). However, given how cost- and time-intensive amyloid imaging can be, there is a continued need for a low-cost, non-invasive, and accessible enrichment strategy to pre-screen individuals for their likelihood of amyloid prior to imaging. Previous work supports the use of coordinated limb movement as a potential screening tool, even after controlling for cognitive and daily function. Thirty-six patients diagnosed with amnestic mild cognitive impairment over the age of 65 underwent 18F-Flutemetamol amyloid-positron emission tomography Cortical amyloid deposition is one of the hallmark biomarkers of Alzheimer’s disease (AD). However, given how cost- and time-intensive amyloid imaging can be, there is a continued need for a low-cost, non-invasive, and accessible enrichment strategy to pre-screen individuals for their likelihood of amyloid prior to imaging. Previous work supports the use of coordinated limb movement as a potential screening tool, even after controlling for cognitive and daily function. Thirty-six patients diagnosed with amnestic mild cognitive impairment over the age of 65 underwent 18F-Flutemetamol amyloid-positron emission tomography (PET) imaging and then completed a timed motor task involving upper limb coordination. This task takes ∼5 minutes to administer and score. Multivariate linear regression and receiver operator characteristic analyses showed that including motor task performance improved model prediction of amyloid burden. Results support the rationale for including functional upper extremity motor assessment as a cost- and time-effective means to screen participants for amyloid deposition.

Comments

This article was originally published in American Journal of Alzheimer’s Disease & Other Dementias, volume 37, in 2022. https://doi.org/10.1177/15333175211048262

Recommended Citation

Schaefer, S. Y., Duff, K., Hooyman, A., & Hoffman, J. M. (2022). Improving Prediction of Amyloid Deposition in Mild Cognitive Impairment With a Timed Motor Task. American Journal of Alzheimer’s Disease & Other Dementias®, 37, 153331752110482. https://doi.org/10.1177/15333175211048262

Peer Reviewed

1

Copyright

The authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.