Storyteller in ADNI4: Application of an early Alzheimer's disease screening tool using brief, remote, and speech‐based testing
The Storyteller speech-based test is an objective digital prescreener for Alzheimer's Disease Neuroimaging Initiative 4 (ADNI4). Speech-based models predictive of Alzheimer's disease (AD) were developed in the AMYPRED (Amyloid Prediction in Early Stage Alzheimer's Disease from Acoustic and Linguistic Patterns of Speech) sample (N = 101). Models were tested out of sample in ADNI4 in-clinic (N = 57) and remote (N = 426) cohorts. Models showed good generalization out of sample. Models evaluating text matching and lexical features were most predictive of early AD.
Authors
- Jack Weston (ORCID: https://orcid.org/0000-0001-5344-7840)
- Emil Fristed (ORCID: https://orcid.org/0000-0002-9590-7275)
- Bruce Albala
- Udeepa Meepegama (ORCID: https://orcid.org/0000-0001-8718-7530)
- Melanie J. Miller (ORCID: https://orcid.org/0000-0002-7189-1109)
- Rachel L. Nosheny (ORCID: https://orcid.org/0000-0003-4995-8319)
- Caroline Skirrow (ORCID: https://orcid.org/0000-0001-8692-7787)
- Michael W. Weiner
Institutions
- San Francisco VA Medical Center (US)
- University of California, San Francisco (US)
- University of California, Irvine (US)
- University of California System (US)
- Irvine University (US)
- Advanced Imaging Research (United States) (US)
- VA Long Beach Healthcare System (US)
- Northern California Institute for Research and Education (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1002/alz.14206
- Citations
- 9
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 3.47
Funders
- Foundation for the National Institutes of Health
- Alzheimer's Disease Neuroimaging Initiative
- Northern California Institute for Research and Education
- National Institutes of Health
- Canadian Institutes of Health Research
- National Institute on Aging