Evidence map›Paper›PMID 35662188›Full record

ReviewNeural regeneration research2022

An electroencephalography-based human-machine interface combined with contralateral C7 transfer in the treatment of brachial plexus injury.

Meng Zhang, Ci Li, Song-Yang Liu, Feng-Shi Zhang, Pei-Xun Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Neural regeneration research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Meng ZhangDepartment of Orthopedics and Trauma, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration, Peking University; National Center for Trauma Medicine, Beijing, China.
Ci LiDepartment of Orthopedics and Trauma, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration, Peking University; National Center for Trauma Medicine, Beijing, China.
Song-Yang LiuDepartment of Orthopedics and Trauma, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration, Peking University; National Center for Trauma Medicine, Beijing, China.
Feng-Shi ZhangDepartment of Orthopedics and Trauma, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration, Peking University; National Center for Trauma Medicine, Beijing, China.
Pei-Xun ZhangDepartment of Orthopedics and Trauma, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration, Peking University; National Center for Trauma Medicine, Beijing, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transferring the contralateral C7 nerve root to the median or radial nerve has become an important means of repairing brachial plexus nerve injury. However, outcomes have been disappointing. Electroencephalography (EEG)-based human-machine interfaces have achieved promising results in promoting neurological recovery by controlling a distal exoskeleton to perform functional limb exercises early after nerve injury, which maintains target muscle activity and promotes the neurological rehabilitation effect. This review summarizes the progress of research in EEG-based human-machine interface combined with contralateral C7 transfer repair of brachial plexus nerve injury. Nerve transfer may result in loss of nerve function in the donor area, so only nerves with minimal impact on the donor area, such as the C7 nerve, should be selected as the donor. Single tendon transfer does not fully restore optimal joint function, so multiple functions often need to be reestablished simultaneously. Compared with traditional manual rehabilitation, EEG-based human-machine interfaces have the potential to maximize patient initiative and promote nerve regeneration and cortical remodeling, which facilitates neurological recovery. In the early stages of brachial plexus injury treatment, the use of an EEG-based human-machine interface combined with contralateral C7 transfer can facilitate postoperative neurological recovery by making full use of the brain's computational capabilities and actively controlling functional exercise with the aid of external machinery. It can also prevent disuse atrophy of muscles and target organs and maintain neuromuscular junction effectiveness. Promoting cortical remodeling is also particularly important for neurological recovery after contralateral C7 transfer. Future studies are needed to investigate the mechanism by which early movement delays neuromuscular junction damage and promotes cortical remodeling. Understanding this mechanism should help guide the development of neurological rehabilitation strategies for patients with brachial plexus injury.

Indexed as

arm injuriesbrachial plexusbrain-computer interfacesnerve regenerationnerve tissuenerve transferneurofeedbackneurological rehabilitationuser-computer interface

Identifiers

PMID35662188
PMCPMC9165402
OpenAlexW4282930349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.