ArticleHuman movement science2011
The interaction of respiration and visual feedback on the control of force and neural activation of the agonist muscle.
Article in Human movement science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Photobiomodulation delays the onset of skeletal muscle fatigue in a dose-dependent manner.Lasers in medical science · 2016Trial
- Last Word on Viewpoint: Rethinking force steadiness: a new perspective-Yank magnitude: a metric of unsteadiness during the constant isometric force task.Journal of applied physiology (Bethesda, Md. : 1985) · 2024Article
- Rethinking force steadiness: a new perspective.Journal of applied physiology (Bethesda, Md. : 1985) · 2024Article
- Torque Regulation Is Influenced by the Nature of the Isometric Contraction.Sensors (Basel, Switzerland) · 2023Article
- Article
- The effect of inherent and incidental constraints on bimanual and social coordination.Experimental brain research · 2021Article
- Voluntary reduction of force variability via modulation of low-frequency oscillations.Experimental brain research · 2017Article
- Low-Frequency Oscillations and Control of the Motor Output.Frontiers in physiology · 2017Review
- Corticospinal excitability is associated with hypocapnia but not changes in cerebral blood flow.The Journal of physiology · 2016Article
- Modulation of force below 1 Hz: age-associated differences and the effect of magnified visual feedback.PloS one · 2013Article
- Imperceptible electrical noise attenuates isometric plantar flexion force fluctuations with correlated reductions in postural sway.Experimental brain research · 2012Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The purpose of this study was to compare force variability and the neural activation of the agonist muscle during constant isometric contractions at different force levels when the amplitude of respiration and visual feedback were varied. Twenty young adults (20-32 years, 10 men and 10 women) were instructed to accurately match a target force at 15% and 50% of their maximal voluntary contraction (MVC) with abduction of the index finger while controlling their respiration at different amplitudes (85%, 100% and 125% normal) in the presence and absence of visual feedback. Each trial lasted 22s and visual feedback was removed from 8-12 and 16-20s. Each subject performed three trials with each respiratory condition at each force level. Force variability was quantified as the standard deviation of the detrended force data. The neural activation of the first dorsal interosseus (FDI) was measured with bipolar surface electrodes placed distal to the innervation zone. Relative to normal respiration, force variability increased significantly only during high-amplitude respiration (∼63%). The increase in force variability from normal- to high-amplitude respiration was strongly associated with amplified force oscillations from 0 to 3 Hz (R(2) ranged from .68 to .84, p< .001). Furthermore, the increase in force variability was exacerbated in the presence of visual feedback at 50% MVC (vision vs. no-vision: .97 vs. .87N) and was strongly associated with amplified force oscillations from 0 to 1 Hz (R(2)= .82) and weakly associated with greater power from 12 to 30 Hz (R(2)= .24) in the EMG of the agonist muscle. Our findings demonstrate that high-amplitude respiration and visual feedback of force interact and amplify force variability in young adults during moderate levels of effort.
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Registered trials
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.