Predicting brain health in older adults through automated language measures
A fully automated, multivariate pipeline captures cognitive and MRI measures of brain health based on brief fluency tasks. Unlike gold-standard tests, this approach is examiner-independent, objective, time-efficient, and affordable. This approach represents a scalable resource to favor equity in the global fight against dementia and cognitive decline.
Authors
- Lara Gauder (ORCID: https://orcid.org/0000-0001-6242-1546)
- Luciana Ferrer (ORCID: https://orcid.org/0000-0002-0426-8683)
- Gonzalo Nicolás Pérez (ORCID: https://orcid.org/0000-0001-5781-8944)
- Adolfo M. García (ORCID: https://orcid.org/0000-0002-6936-0114)
- Iván Caro
- Andrea Z. Slachevsky
- Joaquín Ponferrada
- Alejandro Sosa Welford
- Joaquín Valdez Bisé
- Agustin Ibanez
- Franco Javier Ferrante
Institutions
- Universidad de Santiago de Chile (CL)
- Universidad del Desarrollo (CL)
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Universidad Nacional de Cuyo (AR)
- Pontificia Universidad Católica de Chile (CL)
- Adolfo Ibáñez University (CL)
- Universidad de Buenos Aires (AR)
- University of San Andrés (AR)
- Hospital del Salvador (CL)
- Instituto de Neurología Cognitiva (AR)
- Instituto Tecnológico de Buenos Aires (ITBA) (AR)
- Instituto de Neurociencia Biomédica (CL)
- Center for Climate and Resilience Research (CL)
- Global Brain Health Institute (US)
- University of Chile (CL)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70857_102831
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00