Evidence map›Paper›PMID 32101603›Full record

ArticleBrain : a journal of neurology2020

Prognosis for patients with cognitive motor dissociation identified by brain-computer interface.

Jiahui Pan, Qiuyou Xie, Pengmin Qin, Yan Chen, Yanbin He, Haiyun Huang, Fei Wang, Xiaoxiao Ni, Andrzej Cichocki, Ronghao Yu and 1 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 70 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 4 pooled it
10.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 4 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
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  10. [Guangdong consensus on integrated Chinese and Western medicine management of prolonged disorders of consciousness].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
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  13. [Brain-computer interface technology and its applications for patients with disorders of consciousness].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
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  20. [An emerging major: brain-computer interface major].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Jiahui PanCenter for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Qiuyou XieDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Pengmin QinCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China.
Yan ChenCentre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
Yanbin HeCentre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
Haiyun HuangCenter for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Fei WangCenter for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
Xiaoxiao NiCentre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
Andrzej CichockiSkolkovo Institute of Science and Technology (Skoltech), Moscow 143026, Russia.
Ronghao YuCentre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
Yuanqing LiCenter for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
General Hospital of Guangzhou Military Command · CNSouth China University of Technology · CNSkolkovo Institute of Science and Technology · RUSouth China Normal University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design of rehabilitation programmes, the prognosis for patients with cognitive motor dissociation remains under-investigated. The current study included 78 patients with disorders of consciousness who showed no detectable command-following behaviours. These patients included 45 patients with unresponsive wakefulness syndrome and 33 patients in a minimally conscious state, as diagnosed using the Coma Recovery Scale-Revised. Each patient underwent an EEG-based brain-computer interface experiment, in which he or she was instructed to perform an item-selection task (i.e. select a photograph or a number from two candidates). Patients who achieved statistically significant brain-computer interface accuracies were identified as cognitive motor dissociation. Two evaluations using the Coma Recovery Scale-Revised, one before the experiment and the other 3 months later, were carried out to measure the patients' behavioural improvements. Among the 78 patients with disorders of consciousness, our results showed that within the unresponsive wakefulness syndrome patient group, 15 of 18 patients with cognitive motor dissociation (83.33%) regained consciousness, while only five of the other 27 unresponsive wakefulness syndrome patients without significant brain-computer interface accuracies (18.52%) regained consciousness. Furthermore, within the minimally conscious state patient group, 14 of 16 patients with cognitive motor dissociation (87.5%) showed improvements in their Coma Recovery Scale-Revised scores, whereas only four of the other 17 minimally conscious state patients without significant brain-computer interface accuracies (23.53%) had improved Coma Recovery Scale-Revised scores. Our results suggest that patients with cognitive motor dissociation have a better outcome than other patients. Our findings extend current knowledge of the prognosis for patients with cognitive motor dissociation and have important implications for brain-computer interface-based clinical diagnosis and prognosis for patients with disorders of consciousness.

Indexed as

Brain-Computer InterfacesAdultConsciousness DisordersElectroencephalographyFemaleHumansMaleMiddle AgedPrognosisbrain-computer interfacecognitive motor dissociationdisorders of consciousnessprognosisunresponsive wakefulness syndrome

Identifiers

PMID32101603
PMCPMC7174053
OpenAlexW3007612421

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.