Evidence map›Paper›PMID 36408074›Full record

ArticleCognitive neurodynamics2022

BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study.

Zhengzhe Cui, Yongqiang Li, Sisi Huang, Xixi Wu, Xiangxiang Fu, Fei Liu, Xiaojiao Wan, Xue Wang, Yuting Zhang, Huaide Qiu and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cognitive neurodynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Zhengzhe CuiSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Yongqiang LiThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Sisi HuangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xixi WuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiangxiang FuSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Fei LiuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaojiao WanSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Xue WangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yuting ZhangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Huaide QiuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fang ChenThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Peijin YangSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Shiqiang ZhuSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Jianan LiThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Weidong ChenQiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.
Jiangsu Province Hospital · CNZhejiang University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the recent years, the increasing applications of brain-computer interface (BCI) in rehabilitation programs have enhanced the chances of functional recovery for patients with neurological disorders. We presented and validated a BCI system with a lower-limb robot for short-term training of patients with spinal cord injury (SCI). The cores of this system included: (1) electroencephalogram (EEG) features related to motor intention reported through experiments and used to drive the robot; (2) a decision tree to determine the training mode provided for patients with different degrees of injuries. Seven SCI patients (one American Spinal Injury Association Impairment Scale (AIS) A, three AIS B, and three AIS C) participated in the short-term training with this system. All patients could learn to use the system rapidly and maintained a high intensity during the training program. The strength of the lower limb key muscles of the patients was improved. Four AIS A/B patients were elevated to AIS C. The cumulative results indicate that clinical application of the BCI system with lower-limb robot is feasible and safe, and has potentially positive effects on SCI patients. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-022-09801-6.

Indexed as

Brain-computer interface (BCI)Electroencephalogram (EEG)Rehabilitation robotSpinal cord injury (SCI)

Identifiers

PMID36408074
PMCPMC9666612
OpenAlexW4223589027

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.