Generalizability of digital speech and language assessments in MCI/mild AD across four non‐English languages
Together, these results indicate that there are consistent interrelationships among different speech features across languages. In addition, in the four languages examined, the speech composite score and the number of objects correctly described related to a standard measure of cognition, the MMSE. These results suggest that digital measures of speech and language in MCI/AD are generalizable across languages and relate to cognitive ability more generally. In addition, a composite score of multiple speech features may be more sensitive to cognitive impairment than individual speech metrics.
Authors
- Michael J. Spilka (ORCID: https://orcid.org/0000-0002-8958-5468)
- Francesca Cormack (ORCID: https://orcid.org/0000-0002-4413-177X)
- Katharina Fuchs (ORCID: https://orcid.org/0000-0002-1289-9901)
- Martina De Lillo (ORCID: https://orcid.org/0000-0001-5659-1522)
- Jessica Robin (ORCID: https://orcid.org/0000-0003-4153-2655)
- Christine Wenzkowski
- Michael Schaeffer
- Mengdan Xu
Institutions
- Halle Zoo (DE)
- Cambridge Cognition (United Kingdom) (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_107986
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00