Clinical application and future prespectives of brain?computer interface.
Brain - computer interface (BCI) technology, by establishing direct communication pathways between the brain and external devices, has brought groundbreaking advancements to the diagnosis, treatment and rehabilitation of neurological disorders. A typical BCI system comprises the core steps of "signa...
| Publicado en: | Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 26; no. 1; pp. 13 - 21 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Chinese Journal of Contemporary Neurology & Neurosurgery
Jan2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191474744&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191474744 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16726731 FDQ6 jtl: Chinese Journal of Contemporary Neurology & Neurosurgery issn: 16726731 maglogo: N pubinfo: dt: Jan2026 vid: 26 iid: 1 pid: 80951 pub: Chinese Journal of Contemporary Neurology & Neurosurgery artinfo: ui: 191474744 10.3969/j.issn.1672-6731.2026.01.003 191474744 ppf: 13 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Clinical application and future prespectives of brain?computer interface. aug: au: ZHI, Di-xuan JIN, Lei WANG, Yi-he SHAN, Yong-zhi affil: Department of Neurosurgery; Epilepsy Clinical Diagnosis and Treatment Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China sug: subj: User-Computer Interface Technology Utilization Technology Ethical Issues Neurology Neurosurgery Paradigms Neural Networks (Computer) Electric Stimulation Vagal Stimulation Deep Brain Stimulation Noninvasive Procedures Minimally Invasive Procedures Invasive Procedures Nervous System Diseases Diagnosis Nervous System Diseases Therapy Nervous System Diseases Rehabilitation Feedback ab: Brain - computer interface (BCI) technology, by establishing direct communication pathways between the brain and external devices, has brought groundbreaking advancements to the diagnosis, treatment and rehabilitation of neurological disorders. A typical BCI system comprises the core steps of "signal acquisition - decoding - control - feedback", an architecture that aligns closely with closed- loop neuromodulation systems, such as responsive neurostimulation (RNS) for epilepsy, which follows a "recording - decoding - intervention" paradigm. Thus, closed - loop neuromodulation can be viewed as an integrated form of BCI designed for specific therapeutic objectives. Currently, BCI has demonstrated significant potential in replacing, restoring and enhancing neural functions across various clinical domains, including the management of drug-resistant epilepsy, motor rehabilitation post-stroke, neuromodulation for Parkinson's disease, functional compensation in spinal cord injury, and objective assessment of consciousness disorder. However, the technology still faces multiple challenges, including biocompatibility, signal stability, algorithmic generalizability, clinical standardization, and ethical-regulatory considerations. This review systematically examines the clinical progress of BCI, with the aim of outlining its technological classifications (non - invasive, partially invasive, and invasive), current applications, and key issues. Furthermore, it explores future directions, such as high - precision bidirectional closed - loop interaction, multimodal neuromodulation integration, intelligent virtual rehabilitation systems, and international collaborative standardization. Ultimately, this review seeks to contribute to the evolution of BCI from an assistive tool toward an intelligent integrated paradigm, laying the groundwork for precision neurology. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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