Music-induced physiological markers for detecting Alzheimer's disease using machine learning
Music-evoked physiological signals reflect the hierarchical disruption of emotion-related neural circuits in AD and hold promise as complementary biomarkers for disease presence and stage. When combined with machine learning (ML), these measures provide a non-invasive, ecologically valid approach to support early detection, monitoring, and the development of stage-specific interventions.
Authors
- Sergi Bermúdez i Badia (ORCID: https://orcid.org/0000-0003-4452-0414)
- Gonçalo Barradas (ORCID: https://orcid.org/0000-0003-4897-8991)
- Rodrigo Lima (ORCID: https://orcid.org/0000-0002-4030-9526)
Institutions
- Madeira Tecnopolo (PT)
- Agencia Regional para o Desenvolvimento da Investigacao Tecnologia e Inovacao
- University of Salford (GB)
- Universidade da Madeira (PT)
- Universidade Nova de Lisboa (PT)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-11-24
- DOI
- https://doi.org/10.3389/fnagi.2025.1701970
- Primary Topic
- Neuroscience and Music Perception
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação
- NOVA Laboratory for Computer Science and Informatics
- Fundação para a Ciência e a Tecnologia