Smartphone‐Based Finger‐Tapping as a Predictor of Motor and Cognitive Decline in Neurodegenerative Disorders
Smartphone-based finger-tapping assessments effectively detect motor and cognitive impairment, with stronger associations for motor function. Findings in iOS users highlight the need to assess operating system-related biases and validate in Android. Remote smartphone assessments offer a scalable tool for tracking disease progression, warranting larger longitudinal studies.
Authors
- Mark Sanderson‐Cimino (ORCID: https://orcid.org/0000-0002-5872-3186)
- Hilary W. Heuer (ORCID: https://orcid.org/0000-0002-3776-1685)
- Joshua D. Downer (ORCID: https://orcid.org/0000-0003-3817-6733)
- Adam M. Staffaroni (ORCID: https://orcid.org/0000-0002-3903-9805)
- Amy B. Wise (ORCID: https://orcid.org/0009-0000-8828-456X)
- John Kornak (ORCID: https://orcid.org/0000-0002-0089-0619)
- Z. Y. Li
- Leah K. Forsberg (ORCID: https://orcid.org/0000-0003-4086-9598)
- Emily W. Paolillo (ORCID: https://orcid.org/0000-0003-4188-6998)
- Anjali Sadarangani
- Brad F Boeve
- Adam L. Boxer
- Sreya Dhanam
- Ray Fregly
- Howard J. Rosen
- Morgan O'Connor
Institutions
- University of California, San Francisco (US)
- University Memory and Aging Center (US)
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_107319
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00