Evidence map›Paper›PMID 41333967›Full record

ArticleJournal of exercise science and fitness2026

Differential effects of local and general fatigue on brain network efficiency, corticospinal and neuromuscular excitability.

Changxiao Yu, Jianglong Zhan, Songlin Xiao, Bin Shen, Junhong Zhou, Weijie Fu

Abstract read
In one paragraph

Article in Journal of exercise science and fitness, 2026. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Changxiao YuSchool of Rehabilitation Science, Hangzhou Medical College, Hangzhou, 310000, China.
Jianglong ZhanSchool of Intelligent Sports Engineering, Shanghai University of Sport, Shanghai, 200438, China.
Songlin XiaoSchool of Intelligent Sports Engineering, Shanghai University of Sport, Shanghai, 200438, China.
Bin ShenSchool of Intelligent Sports Engineering, Shanghai University of Sport, Shanghai, 200438, China.
Junhong ZhouThe Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA.
Weijie FuSchool of Intelligent Sports Engineering, Shanghai University of Sport, Shanghai, 200438, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the effect of fatigue induced by local- and general-muscular exercise on brain network efficiency, corticospinal and neuromuscular excitability. Methods: Twenty-four participants randomly performed two different fatigue protocols (i.e., locally induced vs generally induced) separated by 5-7 days. Local fatigue was provided with maximum isokinetic plantar dorsiflexion, and general fatigue was provided with a running exercise on a treadmill at a personalized constant velocity. M-wave, H-reflex, and the resting-state electroencephalography signal, were recorded before and after local and general fatigue. Results: Compared with local fatigue, fatigue induced by general muscular exercise can significantly increase clustering coefficient ( Conclusion: The two different fatigue protocols can decrease peripheral neuromuscular excitability and affect spinal fatigue. General fatigue can promote the integration of local and global efficiency by strengthening the functional connectivity of the brain network to optimize resource allocation and resist the negative effects of fatigue.

Indexed as

Functional connectivityGeneral fatigueH-reflexLocal fatigueM-wave

Identifiers

PMID41333967
PMCPMC12666328

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.