Brain‐Machine Interfaces for Dementia: A Novel Approach to Early Detection and Personalized Rehabilitation
This exploratory study proposes that BMIs hold transformative potential for dementia care, bridging early detection with dynamic, personalized rehabilitation. By utilizing neural biomarkers, BMIs could identify at-risk individuals years before symptom onset, while adaptive neurofeedback systems might slow decline by strengthening cognitive reserve.
Authors
- Sifat Redwan Wahid
- Arshia Khan (ORCID: https://orcid.org/0000-0001-8779-9617)
Institutions
- University of Minnesota, Duluth (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_106434
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00