Exploring driving behaviors as biomarkers for early identification of individuals at risk for Alzheimer's Disease
The observed differences in driving patterns between Aβ+ and Aβ- participants may provide valuable insights into early warning signals for subtle cognitive changes related to AD. Future research will focus on developing an intelligent system that leverages significant naturalistic driving features, combined with machine learning techniques, to classify Aβ+ and Aβ- individuals.
Authors
- Amanda Cook Maher (ORCID: https://orcid.org/0000-0001-6229-4743)
- Savannah G. Rose (ORCID: https://orcid.org/0000-0001-9784-6819)
- Yi Lu Murphy
- Carol Persad
- Bruno Giordani
- Robert A. Koeppe
- Sai Santosh Reddy Danda
Institutions
- University of Michigan (US)
- University of Michigan–Dearborn (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_103413
- Primary Topic
- Older Adults Driving Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00