TY - JOUR
T1 - Application of Brain–Computer Interface Technology in Vascular Cognitive Impairment
T2 - A Systematic Review
AU - He, Jieyang
AU - Mao, Tingting
AU - Sun, Yubiao
AU - Guan, Ling
N1 - Publisher Copyright:
© 2026 by the authors.
PY - 2026/6
Y1 - 2026/6
N2 - Background: Vascular cognitive impairment (VCI) is a common consequence of cerebrovascular diseases and significantly affects multiple cognitive domains. Brain–computer interface (BCI) technology has emerged as a promising tool for cognitive assessment and rehabilitation in patients with VCI. This systematic review examined the current applications of BCI technology for cognitive function in patients with VCI. Methods: In accordance with the PRISMA 2020 guidelines, we searched Medline, PubMed, Web of Science, Embase, and the Cochrane Central Register of Controlled Trials. We included studies published between January 2000 and March 2026 that evaluate BCI for cognitive function in patients with VCI. Results: A total of 30 studies were included in the review. The participants comprised 696 stroke patients, 71 patients with early cerebral microangiopathy and 128 patients with VCI and no dementia. In patients with VCI, BCI interventions combined with other technologies (e.g., exoskeleton, virtual reality, functional electrical stimulation, acupuncture, or game-based cognitive training) appeared more effective for cognitive rehabilitation than BCI alone. Attention was the most consistently improved domain among the studies reviewed. Global cognitive function also improved in many studies, though not uniformly. Memory, executive function, and language outcomes varied depending on factors such as intervention protocols, training duration, and assessment tools. Conclusions: BCI is a promising tool for cognitive assessment and rehabilitation in patients with VCI. However, substantial heterogeneity across studies limits the conclusions. Future large-scale, well-designed randomized controlled trials with standardized outcome measures are needed to validate the efficacy of BCI technology and to explore its underlying mechanisms.
AB - Background: Vascular cognitive impairment (VCI) is a common consequence of cerebrovascular diseases and significantly affects multiple cognitive domains. Brain–computer interface (BCI) technology has emerged as a promising tool for cognitive assessment and rehabilitation in patients with VCI. This systematic review examined the current applications of BCI technology for cognitive function in patients with VCI. Methods: In accordance with the PRISMA 2020 guidelines, we searched Medline, PubMed, Web of Science, Embase, and the Cochrane Central Register of Controlled Trials. We included studies published between January 2000 and March 2026 that evaluate BCI for cognitive function in patients with VCI. Results: A total of 30 studies were included in the review. The participants comprised 696 stroke patients, 71 patients with early cerebral microangiopathy and 128 patients with VCI and no dementia. In patients with VCI, BCI interventions combined with other technologies (e.g., exoskeleton, virtual reality, functional electrical stimulation, acupuncture, or game-based cognitive training) appeared more effective for cognitive rehabilitation than BCI alone. Attention was the most consistently improved domain among the studies reviewed. Global cognitive function also improved in many studies, though not uniformly. Memory, executive function, and language outcomes varied depending on factors such as intervention protocols, training duration, and assessment tools. Conclusions: BCI is a promising tool for cognitive assessment and rehabilitation in patients with VCI. However, substantial heterogeneity across studies limits the conclusions. Future large-scale, well-designed randomized controlled trials with standardized outcome measures are needed to validate the efficacy of BCI technology and to explore its underlying mechanisms.
KW - brain–computer interface
KW - cognitive function
KW - electroencephalography
KW - neurofeedback
UR - https://www.scopus.com/pages/publications/105042698679
U2 - 10.3390/brainsci16060589
DO - 10.3390/brainsci16060589
M3 - Review article
AN - SCOPUS:105042698679
SN - 2076-3425
VL - 16
JO - Brain Sciences
JF - Brain Sciences
IS - 6
M1 - 589
ER -