Emerging Neural Recording and Neurostimulation Technologies Based on Brain–Computer Interface: A Promising Approach for Neuropsychiatric Disorders

Neurological and psychiatric disorders, arising from disruptions in neural circuitry, pose a major and growing challenge to global healthcare systems. Brain-computer interface (BCI) technology has emerged as a promising approach, enabling direct communication between the brain and external devices. By facilitating bidirectional interaction with the nervous system, BCIs open new avenues for both diagnosis and treatment. In this review, we examine recent advances in recording and stimulation technologies within the BCI framework and evaluate their therapeutic potential across major neuropsychiatric disorders. We focus particularly on post-stroke motor rehabilitation as a representative paradigm, providing detailed analysis of the mechanisms, clinical evidence, and future prospects of endovascular BCI, BCI-integrated epidural spinal cord stimulation, and BCI-driven deep brain stimulation. We further extend the discussion to movement disorders such as Parkinson's disease and epilepsy, as well as cognitive and psychiatric conditions including Alzheimer's disease and depression, highlighting how BCI-based approaches enable symptom detection and closed-loop neuromodulation. Additionally, we address ethical and societal considerations accompanying clinical translation of these advanced neurotechnologies. By integrating current evidence, this review highlights a paradigm shift toward more active, precise, and personalized neural rehabilitation enabled by BCI systems, while outlining key challenges and future directions for research and clinical application.

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Publication Details

Journal
MedComm
Published
2026-04-01
DOI
https://doi.org/10.1002/mco2.70739
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Emerging Neural Recording and Neurostimulation Technologies Based on Brain–Computer Interface: A Promising Approach for Neuropsychiatric Disorders

D Chen, Yuhao Sun, Yeguang Xu, Zhouping Tang et al.
MedComm
EEG and Brain-Computer Interfaces
article

Emerging Neural Recording and Neurostimulation Technologies Based on Brain–Computer Interface: A Promising Approach for Neuropsychiatric Disorders

D Chen, Yuhao Sun, Yeguang Xu, Zhouping Tang, Yingxin Tang, Zhixian Zhao, Qing Ye, Peng Zhang, Jian Shi, Ping Zhang, Shengjie Li
article en

Abstract

Neurological and psychiatric disorders, arising from disruptions in neural circuitry, pose a major and growing challenge to global healthcare systems. Brain-computer interface (BCI) technology has emerged as a promising approach, enabling direct communication between the brain and external devices. By facilitating bidirectional interaction with the nervous system, BCIs open new avenues for both diagnosis and treatment. In this review, we examine recent advances in recording and stimulation technologies within the BCI framework and evaluate their therapeutic potential across major neuropsychiatric disorders. We focus particularly on post-stroke motor rehabilitation as a representative paradigm, providing detailed analysis of the mechanisms, clinical evidence, and future prospects of endovascular BCI, BCI-integrated epidural spinal cord stimulation, and BCI-driven deep brain stimulation. We further extend the discussion to movement disorders such as Parkinson's disease and epilepsy, as well as cognitive and psychiatric conditions including Alzheimer's disease and depression, highlighting how BCI-based approaches enable symptom detection and closed-loop neuromodulation. Additionally, we address ethical and societal considerations accompanying clinical translation of these advanced neurotechnologies. By integrating current evidence, this review highlights a paradigm shift toward more active, precise, and personalized neural rehabilitation enabled by BCI systems, while outlining key challenges and future directions for research and clinical application.

MedCommVol. 7(4)
Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Huazhong University of Science and Technology, Tongji University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 21%
EEG and Brain-Computer Interfaces
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