Comparing the utility of mean versus intraindividual variability metrics in the relationship between mobility‐based digital phenotypes and cognition
Mobility-based digital phenotyping features appear to be selectively associated with demographically-corrected neuropsychological measures of language. Considering IIV in everyday mobility behaviors - in addition to overall mean mobility features - may lend added value. Next steps will evaluate and compare a greater array of digital phenotyping features (mean and IIV) in predicting cognition and other relevant outcomes.
Authors
- Ian Barnett (ORCID: https://orcid.org/0000-0003-3256-5703)
- Tania Giovannetti (ORCID: https://orcid.org/0000-0001-5661-152X)
- Shiyun Xu
- Katherine Hackett (ORCID: https://orcid.org/0000-0002-3595-1418)
- Moira McKniff (ORCID: https://orcid.org/0000-0002-5780-4769)
Institutions
- University of Pennsylvania (US)
- Temple University (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.093386
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00