Evidence map›Paper›PMID 25372038›Full record

ArticlePloS one2014

Force control is related to low-frequency oscillations in force and surface EMG.

Hwasil Moon, Changki Kim, Minhyuk Kwon, Yen Ting Chen, Tanya Onushko, Neha Lodha, Evangelos A Christou

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
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  5. Force control deficits in rapid eye movement behavior disorder and Parkinson's disease.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  6. Article
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  8. Rethinking force steadiness: a new perspective.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    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

7 authors.

Hwasil MoonDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Changki KimDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Minhyuk KwonDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Yen Ting ChenDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Tanya OnushkoDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Neha LodhaDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America.
Evangelos A ChristouDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States of America; Department of Physical Therapy, University of Florida, Gainesville, FL, United States of America.

Funding

Aging and learning of novel fine motor tasksR01AG031769 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTOU, EVANGELOS A · 2008 to 2012
$1.0M
NIA NIH HHS R01 AG031769
6 · The paper itself

Abstract

Force variability during constant force tasks is directly related to oscillations below 0.5 Hz in force. However, it is unknown whether such oscillations exist in muscle activity. The purpose of this paper, therefore, was to determine whether oscillations below 0.5 Hz in force are evident in the activation of muscle. Fourteen young adults (21.07 ± 2.76 years, 7 women) performed constant isometric force tasks at 5% and 30% MVC by abducting the left index finger. We recorded the force output from the index finger and surface EMG from the first dorsal interosseous (FDI) muscle and quantified the following outcomes: 1) variability of force using the SD of force; 2) power spectrum of force below 2 Hz; 3) EMG bursts; 4) power spectrum of EMG bursts below 2 Hz; and 5) power spectrum of the interference EMG from 10-300 Hz. The SD of force increased significantly from 5 to 30% MVC and this increase was significantly related to the increase in force oscillations below 0.5 Hz (R(2) = 0.82). For both force levels, the power spectrum for force and EMG burst was similar and contained most of the power from 0-0.5 Hz. Force and EMG burst oscillations below 0.5 Hz were highly coherent (coherence = 0.68). The increase in force oscillations below 0.5 Hz from 5 to 30% MVC was related to an increase in EMG burst oscillations below 0.5 Hz (R(2) = 0.51). Finally, there was a strong association between the increase in EMG burst oscillations below 0.5 Hz and the interference EMG from 35-60 Hz (R(2) = 0.95). In conclusion, this finding demonstrates that bursting of the EMG signal contains low-frequency oscillations below 0.5 Hz, which are associated with oscillations in force below 0.5 Hz.

Indexed as

Evoked Potentials, MotorIsometric ContractionElectromyographyFemaleFingersHumansMaleMuscle, SkeletalYoung Adult

Identifiers

PMID25372038
PMCPMC4220917

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Registered trials

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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.