Prolonged consciousness disorder and brain ? computer interface: a new paradigm of medicine?engineering convergence in neuromodulation.
Accurate assessment and intervention for prolonged consciousness disorder remain critical challenges in neuroscience. Brain-computer interface (BCI) offers a novel pathway for diagnosis and treatment of consciousness disorder by decoding neural signals, reconstructing conscious communication, and gu...
| Publicado en: | Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 26; no. 1; pp. 21 - 30 |
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| Autores principales: | , , , |
| Formato: | review 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=191474745&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191474745 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: 191474745 191474745 191474745 10.3969/j.issn.1672-6731.2026.01.004 191474745 ppf: 21 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Prolonged consciousness disorder and brain ? computer interface: a new paradigm of medicine?engineering convergence in neuromodulation. aug: au: YANG, Yi HE, Qi-heng CHAI, Xiao-ke ZHAO, Ji-zong affil: Center of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China sug: subj: Brain-Computer Interfaces Consciousness Disorders Diagnosis Consciousness Disorders Rehabilitation Biomedical Engineering Neurosciences Neural Networks (Computer) Professional-Patient Relations Brain Radiography Electroencephalography Magnetic Resonance Imaging Methods Biofeedback Sensory Motor Integration Neuronal Plasticity Electric Stimulation Communication Motor Skills Blood Circulation False Negative Results Spinal Cord Stimulation Deep Brain Stimulation Multidisciplinary Care Team Collaboration Coma Persistent Vegetative State Minimally Conscious State Evoked Potentials, Visual Spectroscopy, Near-Infrared Signal Processing, Computer Assisted ab: Accurate assessment and intervention for prolonged consciousness disorder remain critical challenges in neuroscience. Brain-computer interface (BCI) offers a novel pathway for diagnosis and treatment of consciousness disorder by decoding neural signals, reconstructing conscious communication, and guiding closed - loop neuromodulation. In diagnostic applications, EEG and functional near - infrared spectroscopy (fNIRS) detect brain signals to differentiate consciousness levels, while auditory P300 and steady - state visual evoked potential (SSVEP) paradigms show promise in identifying residual cognitive function. For communication, EEG - based BCI enable functional interaction in select patients, though accuracy and stability vary across modalities. Rehabilitation strategies leveraging BCI, such as neurofeedback and sensorimotor rhythm modulation, demonstrate potential for neural plasticity enhancement, particularly when combined with electrical stimulation. However, challenges persist, including high false- negative rates, signal instability, and limited generalizability of algorithms. Future directions emphasize interdisciplinary collaboration to optimize signal processing, validate multimodal approaches, and explore endovascular BCI for enhanced spatial resolution. Bridging neuroscientific insights with engineering innovations will be pivotal in translating BCI into clinical tools for improving outcomes in prolonged consciousness disorder patients. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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