Effects of visual feedback absence on force control during isometric contraction

Limonta, Eloisa; Rampichini, Susanna; Cè, Emiliano; Esposito, Fabio

doi:10.1007/s00421-014-3036-1

Cited by 16 publications

(16 citation statements)

References 59 publications

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“…Specifically, the offline-bandwidth visual feedback with a predefined tolerance range improved force accuracy across multiple trials, and these transient improvements were greater in the narrower predefined tolerance range (i.e., ±5% BTR) than ±10% BTR. Further, several studies examined the effects of online-bandwidth visual feedback on force control with relatively longer task intervals [3,18,24], and found more reduction of task error [3,24]. Thus, our findings expanded these results by showing that the narrower predefined tolerance range of online-bandwidth visual feedback may be more effective to advance force accuracy.…”

Section: Discussionsupporting

confidence: 79%

“…For the non-dominant hand, the two-way repeated ANOVA on the number of times out of BTR revealed a significant threshold range main effect [F (1,24)…”

Section: The Number Of Times and Duration Out Of Btrmentioning

confidence: 99%

“…Perhaps, these short-term improvements were attributed to better motor programming adjustments facilitated by the offline visuomotor processing with a certain level of bandwidth threshold limits [23]. Moreover, while maintaining continuous force outputs around a target level during relatively longer trial intervals (e.g., 8-20 s), providing online-bandwidth visual feedback effectively decreased task error and variability of isometric force production as compared with no online-bandwidth visual feedback conditions [18,24]. However, given that these findings were based on a fixed range of threshold limits for the bandwidth visual feedback, how altered threshold ranges of online-bandwidth visual feedback differently influence on force control capabilities is still unclear.…”

Section: Introductionmentioning

confidence: 99%

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Effects of online-bandwidth visual feedback on unilateral force control capabilities

Lee

Kang

2020

PLoS ONE

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The purpose of this study was to examine how different threshold ranges of online-bandwidth visual feedback influence unilateral force control capabilities in healthy young women. Methods Twenty-five right-handed young women (mean±standard deviation age = 23.6±1.5 years) participated in this study. Participants unilaterally executed hand-grip force control tasks with their dominant and non-dominant hands, respectively. Each participant completed four experimental blocks in a different order of block presentation for each hand condition: (a) 10% of maximum voluntary contraction (MVC) with ±5% bandwidth threshold range (BTR), (b) 10% of MVC with ±10% BTR, (c) 40% of MVC with ±5% BTR, and (d) 40% of MVC with ±10% BTR. Outcome measures on force control capabilities included: (a) force accuracy, (b) force variability, (c) force regularity, and (d) the number of times and duration out of BTR. Results The non-dominant hand showed significant improvements in force control capabilities, as indicated by higher force accuracy, less force variability, and decreased force regularity from ±10% BTR to ±5% BTR during higher targeted force level task. For both hands, the number of times and duration out of BTR increased from ±10% BTR to ±5% BTR. Conclusions The current findings suggested that the narrow threshold range of online-bandwidth visual feedback effectively revealed transient improvements in unilateral isometric force control capabilities during higher targeted force level tasks.

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Section: Discussionsupporting

confidence: 79%

“…For the non-dominant hand, the two-way repeated ANOVA on the number of times out of BTR revealed a significant threshold range main effect [F (1,24)…”

Section: The Number Of Times and Duration Out Of Btrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of online-bandwidth visual feedback on unilateral force control capabilities

Lee

Kang

2020

PLoS ONE

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“…Force and surface electromyographic (sEMG) signals were recorded during isometric contractions from the finger flexor muscles of the dominant arm. The force tests were conducted on a purposely designed ergometer ( Limonta et al, 2015 ) consisting of two cylinders, one fixed and connected to a load cell (Interface, SM- 2000 N, Scottsdale, AZ, United States, linear from 0 to 2,000 N), and the other connected to the fingers at an adjustable distance from the other cylinder ( Esposito et al, 2009 ). The distance between the cylinders was set so that each participant could exert her/his most forceful hand grip.…”

Section: Methodsmentioning

confidence: 99%

“…Negative DT values described a force output lower than force target and vice versa. CV and DT over time provided an index of muscle contraction stability and accuracy, respectively ( Limonta et al, 2015 ). The stability and accuracy of hand muscles are critical to ensure a proper execution of some essential nurses’ tasks.…”

Section: Methodsmentioning

confidence: 99%

Reduced Neuromuscular Performance in Night Shift Orthopedic Nurses: New Insights From a Combined Electromyographic and Force Signals Approach

et al. 2020

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The effect of sleep–wake rhythm disruption on neuromuscular control and muscle fatigue has received little attention. Because nurse shift work is so varied, including overnight duty, rotating shift schedules, early awakening, and interrupted nocturnal sleep, it offers an interesting model to study this paradigm. It has been investigated so far using only subjective markers. A combined approach based on the simultaneous analysis of surface electromyographic (sEMG) and force signals can objectively detect possible deficits in neuromuscular control and muscle fatigue. With this study we investigated neuromuscular activation and muscle contraction capacity at submaximum and maximum level in nurses working two night-shift schedules and compared them to levels in nurses working entirely in day shifts. Sleep quality and activity levels were also assessed. The study sample was 71 nurses grouped by their shift work schedule: night shift for 5 days (NS 5 , n = 46), night shift for 10 days (NS 10 , n = 9), and only day/swing shift (DS, n = 16). Before and after the shift-work cycle, maximum voluntary contraction (MVC) force and muscle activation, neuromuscular control, and muscle fatigability were measured in the finger flexor muscles. Activity level and sleep quality during the shift-work cycle were recorded with a wrist actigraph. After the shift-work cycles, MVC force and muscle activation were decreased (−11 ± 3% and −33 ± 3%, p < 0.001) as was neuromuscular control (−36 ± 8%, p = 0.007), whereas muscle fatigability was increased (+ 19 ± 9%, p = 0.006) in the NS 5 and the NS 10 group. Sleep quality was lower in the NS 5 and the NS 10 group (−8 ± 1.8% and −15%3, respectively, p < 0.001), while the activity level for the three groups was similar. There was a clear reduction in neuromuscular control and an increase in muscle fatigue in the nurses working the night shift. These findings may inform of work schedule planning or recommendations for devising new recovery strategies to counteract neuromuscular alterations in night shift nurses.

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Does pain influence control of muscle force? A systematic review and meta‐analysis

Arvanitidis,

Falla,

Sanderson

et al. 2024

European Journal of Pain

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Background and ObjectiveIn the presence of pain, whether clinical or experimentally induced, individuals commonly show impairments in the control of muscle force (commonly known as force steadiness). In this systematic review and meta‐analysis, we synthesized the available evidence on the influence of clinical and experimental pain on force steadiness.Databases and Data TreatmentMEDLINE, EMBASE, PubMed, CINAHL Plus and Web of Science databases were searched from their inception to 19 December 2023, using MeSH terms and pre‐selected keywords related to pain and force steadiness. Two independent reviewers screened studies for inclusion and assessed their methodological quality using a modified Newcastle–Ottawa risk of bias tool.ResultsIn total, 32 studies (19 clinical pain and 13 experimental pain) were included. Meta‐analyses revealed reduced force steadiness in the presence of clinical pain as measured by the coefficient of variation (CoV) and standard deviation (SD) of force (standardized mean difference; SMD = 0.80, 95% CI = 0.31–1.28 and SMD = 0.61, 95% CI = 0.11–1.11). These findings were supported by moderate and low strength of evidence respectively. In the presence of experimental pain, meta‐analyses revealed reductions in force steadiness when measured by the CoV of force but not by the SD of force (SMD = 0.50, 95% CI = 0.01–0.99; and SMD = 0.44, 95% CI = −0.04 to 0.92), each supported by very low strength of evidence.ConclusionsThis work demonstrates that pain, particularly clinical pain, impairs force steadiness. Such impairments likely have clinical relevance and could become targets for treatment when managing people experiencing musculoskeletal pain.Significance StatementThis systematic review and meta‐analyses enhances our understanding of motor impairments observed in people experiencing musculoskeletal pain. It underscores the significance of incorporating force steadiness assessment when managing individuals experiencing musculoskeletal pain. Additionally, it suggests that future research should explore the potential benefits of force steadiness training in alleviating patients' symptoms and enhancing their functional performance. This could potentially lead to the development of innovative therapeutic approaches for individuals suffering from musculoskeletal pain.

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Effects of visual feedback absence on force control during isometric contraction

Cited by 16 publications

References 59 publications

Effects of online-bandwidth visual feedback on unilateral force control capabilities

Effects of online-bandwidth visual feedback on unilateral force control capabilities

Reduced Neuromuscular Performance in Night Shift Orthopedic Nurses: New Insights From a Combined Electromyographic and Force Signals Approach

Does pain influence control of muscle force? A systematic review and meta‐analysis

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