ArticleNeuroscience bulletin2018
Visual Fixation Assessment in Patients with Disorders of Consciousness Based on Brain-Computer Interface.
Article in Neuroscience bulletin, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review.Frontiers in human neuroscience · 2022Pooled it
- Managing disorders of consciousness: the role of electroencephalography.Journal of neurology · 2021Pooled it
- Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain-Computer Interfaces: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Eye-Tracking Assessment in Patients with Disorders of Consciousness: A Systematic Review.Brain sciences · 2026Review
- Eye movements as indicators of awareness in prolonged disorders of consciousness: a scoping review of behavioral and neural evidence.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- A Personalized Predictor of Motor Imagery Ability Based on Multi-frequency EEG Features.Neuroscience bulletin · 2025Article
- Assessing Consciousness through Neurofeedback and Neuromodulation: Possibilities and Challenges.Life (Basel, Switzerland) · 2023Review
- Brain-Computer Interfaces for Awareness Detection, Auxiliary Diagnosis, Prognosis, and Rehabilitation in Patients with Disorders of Consciousness.Seminars in neurology · 2022Review
- Frontal and parietal lobes play crucial roles in understanding the disorder of consciousness: A perspective from electroencephalogram studies.Frontiers in neuroscience · 2022Review
- Brain-Computer Interfaces in Neurorecovery and Neurorehabilitation.Seminars in neurology · 2021Article
- Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients.Frontiers in neuroscience · 2020Review
- Recent Progress in Basic and Clinical Research on Disorders of Consciousness.Neuroscience bulletin · 2018Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visual fixation is an item in the visual function subscale of the Coma Recovery Scale-Revised (CRS-R). Sometimes clinicians using the behavioral scales find it difficult to detect because of the motor impairment in patients with disorders of consciousness (DOCs). Brain-computer interface (BCI) can be used to improve clinical assessment because it directly detects the brain response to an external stimulus in the absence of behavioral expression. In this study, we designed a BCI system to assist the visual fixation assessment of DOC patients. The results from 15 patients indicated that three showed visual fixation in both CRS-R and BCI assessments and one did not show such behavior in the CRS-R assessment but achieved significant online accuracy in the BCI assessment. The results revealed that electroencephalography-based BCI can detect the brain response for visual fixation. Therefore, the proposed BCI may provide a promising method for assisting behavioral assessment using the CRS-R.
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