Digital speech biomarkers of cognitive functioning in multilingual Kenyan adults
Digital speech timing features from Kenyan participants are correlated with naming skills and with domain-general non-verbal skills vulnerable to aging, irrespective of the language used. These findings underscore the utility of speech biomarkers of cognitive decline for under-served, multilingual settings. They further represent the first steps towards local normative speech data, supporting the quest for global equity in digital cognitive testing.
Authors
- Levi A. Muyela
- Matías Caccia
- Anne Njogu (ORCID: https://orcid.org/0000-0003-0333-3380)
- Gonzalo Nicolás Pérez (ORCID: https://orcid.org/0000-0001-5781-8944)
- Nicolás Pelella (ORCID: https://orcid.org/0009-0006-0334-0918)
- Anne Njoki Gitere
- Olivera Nesic‐Taylor
- Alejandro Sosa Welford
- Zul Merali
- Franco Javier Ferrante
- Irene Meier
- Erick Muhando
- Vaibhav Narayan
- Chinedu Udeh‐Momoh
- Adolfo M Garcia
- Karen Blackmon
Institutions
- Universidad de Santiago de Chile (CL)
- Dartmouth College (US)
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Universidad de Buenos Aires (AR)
- University of San Andrés (AR)
- Aga Khan University Nairobi (KE)
- Instituto de Neurología Cognitiva (AR)
- Institut des Sciences Cognitives Marc Jeannerod (FR)
- Global Brain Health Institute (US)
- Wake Forest University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_107280
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47