Evidence map›Paper›PMID 36277210›Full record

ArticleFrontiers in physiology2022

Neural inputs from spinal motor neurons to lateralis vastus muscle: Comparison between sprinters and nonathletes.

Fang Qiu, Xiaodong Liu, Yilin Xu, Lijun Shi, Xinjun Sheng, Chen Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

6 authors at 4 institutions in 1 country.

Fang QiuDepartment of Exercise Physiology, Beijing Sport University, Beijing, China.
Xiaodong LiuSchool of Kinesiology, Shanghai University of Sport, Shanghai, China.
Yilin XuSports Biomechanics Laboratory, Jiangsu Research Institute of Sports Science, Nanjing, China.
Lijun ShiDepartment of Exercise Physiology, Beijing Sport University, Beijing, China.
Xinjun ShengState Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Chen ChenState Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Beijing Sport University · CNShanghai Jiao Tong University · CNShanghai Research Institute of Sports Science · CNShanghai University of Sport · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptation of neural contractile properties has been observed in previous work. However, the neural changes on the motor unit (MU) level remain largely unknown. Voluntary movements are controlled through the precise activation of MU populations. In this work, we estimate the neural inputs from the spinal motor neurons to the muscles during isometric contractions and characterize the neural adaptation during training by comparing the MU properties decomposed from sprinters and nonathletes. Twenty subjects were recruited and divided into two groups. The high-density surface electromyography (EMG) signals were recorded from the lateralis vastus muscle during the isometric contraction of knee extension and were then decomposed into MU spike trains. Each MU's action potentials and discharge properties were extracted for comparison across subject groups and tasks. A total of 1097 MUs were identified from all subjects. Results showed that the discharge rates and amplitudes of MUAPs from athletes were significantly higher than those from nonathletes. These results demonstrate the neural adaptations in physical training at the MU population level and indicate the great potential of EMG decomposition in physiological investigations.

Indexed as

electromyography decompositionmotor unitneural adaptationtrainingvoluntary movements

Identifiers

PMID36277210
PMCPMC9585313
OpenAlexW4303183129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.