Investigating sex differences in connected speech across the Alzheimer's disease spectrum using machine learning
Sex-stratified classification models revealed differences in performance, with implications for research and clinical applications. Linguistic markers may be more sensitive for women along the AD spectrum, highlighting the importance of sex-stratified analyses.
Authors
- Christophe Bedetti (ORCID: https://orcid.org/0000-0002-1443-8922)
- Simona M. Brambati (ORCID: https://orcid.org/0000-0002-9227-1443)
- Natasha Clarke
- Pierre‐Briac Metayer
Institutions
- Institut Universitaire de Gériatrie de Montréal (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_101206
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00