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用于老年人认知增强的脑机接口——挑战与应用：一项系统综述

Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review.

作者信息

Tsai Ping-Chen, Akpan Asangaedem, Tang Kea-Tiong, Lakany Heba

机构信息

Department of Electronic and Electrical Engineering, University of Liverpool, 9 Brownlow Hill, Liverpool, UK.

Department of Electrical Engineering, National Tsinghua University, Hsinchu, Taiwan.

出版信息

BMC Geriatr. 2025 Jan 16;25(1):36. doi: 10.1186/s12877-025-05676-4.

DOI:10.1186/s12877-025-05676-4
PMID:39819299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11737249/
Abstract

BACKGROUND

Brain-computer interface (BCI) offers promising solutions to cognitive enhancement in older people. Despite the clear progress received, there is limited evidence of BCI implementation for rehabilitation. This systematic review addresses BCI applications and challenges in the standard practice of EEG-based neurofeedback (NF) training in healthy older people or older people with mild cognitive impairment (MCI).

METHODS

Articles were searched via MEDLINE, PubMed, SCOPUS, SpringerLink, and Web of Science. 16 studies between 1st January 2010 to 1st November 2024 are included after screening using PRISMA. The risk of bias, system design, and neurofeedback protocols are reviewed.

RESULTS

The successful BCI applications in NF trials in older people were biased by the randomisation process and outcome measurement. Although the studies demonstrate promising results in effectiveness of research-grade BCI for cognitive enhancement in older people, it is premature to make definitive claims about widespread BCI usability and applicability.

SIGNIFICANCE

This review highlights the common issues in the field of EEG-based BCI for older people. Future BCI research could focus on trial design and BCI performance gaps between the old and the young to develop a robust BCI system that compensates for age-related declines in cognitive and motor functions.

摘要

背景

脑机接口（BCI）为老年人认知增强提供了有前景的解决方案。尽管已取得明显进展，但BCI用于康复的证据有限。本系统评价探讨了BCI在健康老年人或轻度认知障碍（MCI）老年人基于脑电图的神经反馈（NF）训练标准实践中的应用及挑战。

方法

通过MEDLINE、PubMed、SCOPUS、SpringerLink和Web of Science检索文章。使用PRISMA进行筛选后，纳入了2010年1月1日至2024年11月1日期间的16项研究。对偏倚风险、系统设计和神经反馈方案进行了综述。

结果

老年人NF试验中成功的BCI应用受到随机化过程和结果测量的影响。尽管这些研究表明研究级BCI对老年人认知增强的有效性有前景，但就广泛的BCI可用性和适用性做出明确断言还为时过早。

意义

本综述突出了基于脑电图的BCI在老年人领域的常见问题。未来的BCI研究可专注于试验设计以及老年人与年轻人之间的BCI性能差距，以开发一个强大的BCI系统，弥补与年龄相关的认知和运动功能下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/e16734a0d549/12877_2025_5676_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/f4861d42b665/12877_2025_5676_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/3342099ce720/12877_2025_5676_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/c80076469f6b/12877_2025_5676_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/e16734a0d549/12877_2025_5676_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/f4861d42b665/12877_2025_5676_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/3342099ce720/12877_2025_5676_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/c80076469f6b/12877_2025_5676_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d03d/11737249/e16734a0d549/12877_2025_5676_Fig4_HTML.jpg

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