Evidence map›Paper›PMID 31853458›Full record

ArticleNeurophotonics2019

Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects.

Elizabeth L Urquhart, Hashini I Wanniarachchi, Xinlong Wang, Hanli Liu, Paul J Fadel, George Alexandrakis

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Editorial: The Brain Under Fatigue.Frontiers in neuroscience · 2022
    Article
  6. Review
  7. Review
  8. Article
  9. 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 at 2 institutions in 1 country.

Elizabeth L UrquhartUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.
Hashini I WanniarachchiUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.ORCID https://orcid.org/0000-0003-2050-0910
Xinlong WangUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.
Hanli LiuUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.ORCID https://orcid.org/0000-0002-9312-5691
Paul J FadelUniversity of Texas at Arlington, Department of Kinesiology, Arlington, Texas, United States.
George AlexandrakisUniversity of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States.ORCID https://orcid.org/0000-0002-7046-1924
The University of Texas at Arlington · USThe University of Texas at Austin · US

Funding

Interdisciplinary Training in Nanotechnology for Cardiovascular and Lung Diseases in North TexasT32HL134613 · NHLBI · UNIVERSITY OF TEXAS ARLINGTON · PI NGUYEN, KYTAI TRUONG · 2017 to 2021
$1.1M
NHLBI NIH HHS T32 HL134613
6 · The paper itself

Abstract

The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contractions with their dominant hand at their personal maximum voluntary contraction force level for 3.5 s followed by 6.5 s of rest for 120 blocks. Subjects were divided into self-reported physically active and inactive groups, and their hemodynamic activity over the prefrontal and sensory-motor cortices (111 channels) was mapped while they performed this task. Using this fNIRS setup, a more detailed time sequence of cortical activation and connectivity patterns was observed compared to prior studies. A temporal evolution sequence of hemodynamic activation patterns was noted, which was different between the active and the inactive groups. Physically active subjects demonstrated delayed fatigue onset and significantly longer-lasting and more spatially extended functional connectivity (FC) patterns, compared to inactive subjects. The observed differences in activation and FC suggested differences in cortical network adaptation patterns as fatigue set in, which were dependent on subjects' physical activity. The findings of this study suggest that physical activity increases FC with regions involved in motor task control and correlates to extended fatigue onset and enhanced performance.

Indexed as

cardiovascular healthfatiguefunctional connectivityfunctional near-infrared spectroscopyhandgrip exerciseprefrontal cortexsensory-motor cortex

Identifiers

PMID31853458
PMCPMC6904890
OpenAlexW2995210584

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.