Brain-computer interfaces in cognitive rehabilitation for Alzheimer's disease

Wanning Yang

doi:10.54254/2753-8818/2024.17988

Research Article

Open access

Published on 6 December 2024

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Yang,W. (2024). Brain-computer interfaces in cognitive rehabilitation for Alzheimer's disease. Theoretical and Natural Science,64,163-169.

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Brain-computer interfaces in cognitive rehabilitation for Alzheimer's disease

Wanning Yang *^,1,

¹ School of Rehabilitation Medicine, Capital Medical University, Beijing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2024.17988

Abstract

Alzheimer's disease (AD) is a chronic neurodegenerative disease that primarily affects individuals in late adulthood and early adulthood. Its prevalence is rising annually, posing a significant challenge to global public health. While existing pharmacological agents can modestly retard the progression of the disease, they are unable to enhance the cognitive function of patients meaningfully. As an emerging intervention, brain-computer interface (BCI) technology offers a novel cognitive rehabilitation pathway for individuals with Alzheimer's disease. In light of the current state of research on Alzheimer's disease, this paper examines the underlying mechanisms of AD-related cognitive impairment and elucidates the fundamental principles and cognitive rehabilitation theories associated with the brain-computer interface. It highlights the potential applications of BCI in various aspects of Alzheimer's disease management, including diagnosis, monitoring, assessment, and personalized rehabilitation training. This discussion underscores the promise and value of BCI technology in addressing the cognitive challenges associated with Alzheimer's disease and provides insights into the future directions of BCI research in this field.

Keywords

Brain-computer Interface, Alzheimer's Disease, Cognitive Rehabilitation, Neuroplasticity

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Cite this article

Yang,W. (2024). Brain-computer interfaces in cognitive rehabilitation for Alzheimer's disease. Theoretical and Natural Science,64,163-169.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Biological Engineering and Medical Science

Conference website: https://2024.icbiomed.org/

ISBN：978-1-83558-731-7(Print) / 978-1-83558-732-4(Online)

Conference date: 25 October 2024

Editor：Alan Wang

Series: Theoretical and Natural Science

Volume number: Vol.64

ISSN：2753-8818(Print) / 2753-8826(Online)

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