Evidence map›Paper›PMID 36704625›Full record

ArticleCognitive neurodynamics2023

Construction of the dynamic model of SCI rehabilitation using bidirectional stimulation and its application in rehabilitating with BCI.

Zhengzhe Cui, Juan Lin, Xiangxiang Fu, Shiwei Zhang, Peng Li, Xixi Wu, Xue Wang, Weidong Chen, Shiqiang Zhu, Yongqiang Li

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
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

10 authors.

Zhengzhe Cui *School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Juan Lin *Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiangxiang Fu *School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Shiwei Zhang *Zibo Yiyuan People's Hospital, Zibo, China.
Peng LiSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Xixi WuRehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xue WangRehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Weidong ChenQiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.
Shiqiang ZhuSchool of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Yongqiang LiRehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with complete spinal cord injury have a complete loss of motor and sensory functions below the injury plane, leading to a complete loss of function of the nerve pathway in the injured area. Improving the microenvironment in the injured area of patients with spinal cord injury, promoting axon regeneration of the nerve cells is challenging research fields. The brain-computer interface rehabilitation system is different from the other rehabilitation techniques. It can exert bidirectional stimulation on the spinal cord injury area, and can make positively rehabilitation effects of the patient with complete spinal cord injury. A dynamic model was constructed for the patient with spinal cord injury under-stimulation therapy, and the mechanism of the brain-computer interface in rehabilitation training was explored. The effects of the three current rehabilitation treatment methods on the microenvironment in a microscopic nonlinear model were innovatively unified and a complex system mapping relationship from the microscopic axon growth to macroscopic motor functions was constructed. The basic structure of the model was determined by simulating and fitting the data of the open rat experiments. A clinical rehabilitation experiment of spinal cord injury based on brain-computer interface was built, recruiting a patient with complete spinal cord injury, and the rehabilitation training and follow-up were conducted. The changes in the motor function of the patient was simulated and predicted through the constructed model, and the trend in the motor function improvement was successfully predicted over time. This proposed model explores the mechanism of brain-computer interface in rehabilitating patients with complete spinal cord injury, and it is also an application of complex system theory in rehabilitation medicine. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-022-09804-3.

Indexed as

Brain-computer interface (BCI)Electroencephalogram (EEG)Mcroscopic motor functionMicroscopic nonlinear modelSpinal cord injury (SCI)

Identifiers

PMID36704625
PMCPMC9871133

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.