Methodology and feasibility of neurofeedback to improve visual attention to letters in mild Alzheimer's disease
Deirdre McLaughlin, Daniel Klee, Tab Memmott, Betts Peters, Jack, Wiedrick, Melanie Fried-Oken, and Barry Oken

TL;DR
This study explores the feasibility of using EEG-based neurofeedback via brain-computer interfaces to improve visual attention and reading skills in individuals with mild Alzheimer's disease, showing promising but limited results.
Contribution
It demonstrates that individuals with mild Alzheimer's can learn to operate a BCI system and provides preliminary evidence for neurofeedback's potential in cognitive intervention.
Findings
Participants learned to operate BCI systems.
Some cognitive improvements observed, especially in letter cancellation.
Limited significant effects on attention measures.
Abstract
Brain computer interfaces systems are controlled by users through neurophysiological input for a variety of applications including communication, environmental control, motor rehabilitation, and cognitive training. Although individuals with severe speech and physical impairment are the primary users of this technology, BCIs have emerged as a potential tool for broader populations, especially with regards to delivering cognitive training or interventions with neurofeedback. The goal of this study was to investigate the feasibility of using a BCI system with neurofeedback as an intervention for people with mild Alzheimer's disease. The study focused on visual attention and language since ad is often associated with functional impairments in language and reading. The study enrolled five adults with mild ad in a nine to thirteen week BCI EEG based neurofeedback intervention to improve…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neural and Behavioral Psychology Studies · Cognitive Functions and Memory
