Evidence map›Paper›PMID 39553842›Full record

ArticleCognitive neurodynamics2024

Cortico-muscular coherence of time-frequency and spatial characteristics under movement observation, movement execution, and movement imagery.

Lu Zhou, Biao Wu, Bing Qin, Fan Gao, Weitao Li, Haixu Hu, Qiaoqiao Zhu, Zhiyu Qian

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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. Article
  2. Article
  3. Corticomuscular Connectivity and Brain Reorganization Post-Stroke.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2025
    Article
  4. Beta-Band Cortico-Muscular Phase Coherence in Hemiparetic Stroke.Biomedical signal processing and control · 2024
    Article
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

8 authors.

Lu ZhouDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.
Biao WuElectronic Information Department, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Bing QinDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.
Fan GaoDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.
Weitao LiDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.
Haixu HuSports Training Academy, Nanjing Sport Institute, Nanjing, China.
Qiaoqiao ZhuDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.
Zhiyu QianDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Jiangning District, Nanjing, 211100 Jiangsu China.ORCID 0000-0001-5306-2879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies show that movement observation (MO), movement imagery (MI), or movement execution (ME) based brain-computer interface systems are promising in promoting the rehabilitation and reorganization of damaged motor function. This study was aimed to explore and compare the motor function rehabilitation mechanism among MO, MI, and ME. 64-channel electroencephalogram and 4-channel electromyogram data were collected from 39 healthy participants (25 males, 14 females; 18-23 years old) during MO, ME, and MI. We analyzed and compared the inter-cortical, inter-muscular, cortico-muscular, and spatial coherence under MO, ME, and MI. Under MO, ME, and MI, cortico-muscular coherence was strongest at the beta-lh band, which means the beta frequency band for cortical signals and the lh frequency band for muscular signals. 56.25-96.88% of the coherence coefficients were significantly larger than 0.5 (

Indexed as

Cortico-muscular coherenceElectroencephalography (EEG)Movement execution (ME)Movement imagery (MI)Movement observation (MO)

Identifiers

PMID39553842
PMCPMC11561224

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.