Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review
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 sta...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Geriatrics |
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| Online Access: | https://doi.org/10.1186/s12877-025-05676-4 |
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| _version_ | 1832594432972554240 |
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| author | Ping-Chen Tsai Asangaedem Akpan Kea-Tiong Tang Heba Lakany |
| author_facet | Ping-Chen Tsai Asangaedem Akpan Kea-Tiong Tang Heba Lakany |
| author_sort | Ping-Chen Tsai |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b515b0f2cb294e73b897ad1c15dda266 |
| institution | Kabale University |
| issn | 1471-2318 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Geriatrics |
| spelling | doaj-art-b515b0f2cb294e73b897ad1c15dda2662025-01-19T12:38:00ZengBMCBMC Geriatrics1471-23182025-01-0125112310.1186/s12877-025-05676-4Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic reviewPing-Chen Tsai0Asangaedem Akpan1Kea-Tiong Tang2Heba Lakany3Department of Electronic and Electrical Engineering, University of LiverpoolInstitute of Life Course & Medical Sciences, University of Liverpool and Liverpool University Hospitals NHS FTDepartment of Electrical Engineering, National Tsinghua UniversityDepartment of Electronic and Electrical Engineering, University of LiverpoolAbstract 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.https://doi.org/10.1186/s12877-025-05676-4Brain computer interfaceNeurofeedbackEEGCognitive performanceOlder peopleHealthy |
| spellingShingle | Ping-Chen Tsai Asangaedem Akpan Kea-Tiong Tang Heba Lakany Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review BMC Geriatrics Brain computer interface Neurofeedback EEG Cognitive performance Older people Healthy |
| title | Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review |
| title_full | Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review |
| title_fullStr | Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review |
| title_full_unstemmed | Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review |
| title_short | Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review |
| title_sort | brain computer interfaces for cognitive enhancement in older people challenges and applications a systematic review |
| topic | Brain computer interface Neurofeedback EEG Cognitive performance Older people Healthy |
| url | https://doi.org/10.1186/s12877-025-05676-4 |
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