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.

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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
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article

Brain‐Machine Interfaces for Dementia: A Novel Approach to Early Detection and Personalized Rehabilitation

Sifat Redwan Wahid, Arshia Khan
Alzheimer s & Dementia
EEG and Brain-Computer Interfaces
article

Brain‐Machine Interfaces for Dementia: A Novel Approach to Early Detection and Personalized Rehabilitation

Sifat Redwan Wahid, Arshia Khan
article en

Abstract

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.

Alzheimer s & DementiaVol. 21(S1)
University of Minnesota, Duluth (US)
Quality Education
Openalex Percentile: Top 32%
EEG and Brain-Computer Interfaces
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Brain‐Machine Interfaces for Dementia: A Novel Approach to Early Detection and Personalized Rehabilitation — Sifat Redwan Wahid, Arshia Khan · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS