Complexity of Knee Extensor Torque: Effect of Aging and Contraction Intensity

Fiogbé, Elie; Vassimon‐Barroso, Verena; Catai, Aparecida Maria; Melo, Ruth Caldeira de; Quitério, Robison José; Porta, Alberto; Takahashi, Anielle Cristhine de Medeiros

doi:10.1519/jsc.0000000000002888

Cited by 12 publications

(15 citation statements)

References 35 publications

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“…They observed a progressive decline in the complexity of index finger abduction force (measured using ApEn and DFA α) during low‐intensity isometric contractions (performed at 5, 10, 20 and 40% MVC) from young adults (aged 20–24 years) to old adults (aged 60–69 years) and older‐old adults (aged 75–90 years). These findings have been confirmed by several subsequent studies (Sosnoff & Newell 2006, 2008) and extended to low‐intensity (15–40% MVC) isometric knee extension contractions (Fiogbé et al., 2021). Taken together, these findings indicate that an age‐induced loss of muscle force complexity affects both small upper limb muscles associated with fine motor skills and large lower limb muscles associated with locomotion.…”

Section: Loss Of Complexity Hypothesissupporting

confidence: 72%

“…Several studies on ageing and disease have demonstrated changes in complexity in the absence of changes in the magnitude of fluctuations (Fiogbé et al., 2021; Vaillancourt & Newell, 2000), suggesting that they may hold potential in detecting sub‐clinical changes in motor control. Furthermore, complexity measures have been demonstrated to be tightly coupled to the neuromuscular fatigue process (Pethick et al., 2018) and exhibit the same exercise intensity domain‐specific behaviours as measures such as

{\dot{V}}_{{normalO}_{2}}

, blood [lactate] and pH (Pethick et al., 2016; Pethick et al ., 2020; Poole et al., 2016).…”

Section: Future Research Directionsmentioning

confidence: 99%

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Physiological complexity: influence of ageing, disease and neuromuscular fatigue on muscle force and torque fluctuations

Pethick

Winter

2021

Experimental Physiology

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New Findings What is the topic of this review?Physiological complexity in muscle force and torque fluctuations, specifically the quantification of complexity, how neuromuscular complexityis altered by perturbations and the potential mechanism underlying changes in neuromuscular complexity. What advances does it highlight?The necessity to calculate both magnitude‐ and complexity‐based measures for the thorough evaluation of force/torque fluctuations. Also the need for further research on neuromuscular complexity, particularly how it relates to the performance of functional activities (e.g. manual dexterity, balance, locomotion). Abstract Physiological time series produce inherently complex fluctuations. In the last 30 years, methods have been developed to characterise these fluctuations, and have revealed that they contain information about the function of the system producing them. Two broad classes of metrics are used: (1) those which quantify the regularity of the signal (e.g. entropy metrics); and (2) those which quantify the fractal properties of the signal (e.g. detrended fluctuation analysis). Using these techniques, it has been demonstrated that ageing results in a loss of complexity in the time series of a multitude of signals, including heart rate, respiration, gait and, crucially, muscle force or torque output. This suggests that as the body ages, physiological systems become less adaptable (i.e. the systems’ ability to respond rapidly to a changing external environment is diminished). More recently, it has been shown that neuromuscular fatigue causes a substantial loss of muscle torque complexity, a process that can be observed in a few minutes, rather than the decades it requires for the same system to degrade with ageing. The loss of torque complexity with neuromuscular fatigue appears to occur exclusively above the critical torque (at least for tasks lasting up to 30 min). The loss of torque complexity can be exacerbated with previous exercise of the same limb, and reduced by the administration of caffeine, suggesting both peripheral and central mechanisms contribute to this loss. The mechanisms underpinning the loss of complexity are not known but may be related to altered motor unit behaviour as the muscle fatigues.

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Section: Loss Of Complexity Hypothesissupporting

confidence: 72%

{\dot{V}}_{{normalO}_{2}}

, blood [lactate] and pH (Pethick et al., 2016; Pethick et al ., 2020; Poole et al., 2016).…”

Section: Future Research Directionsmentioning

confidence: 99%

Physiological complexity: influence of ageing, disease and neuromuscular fatigue on muscle force and torque fluctuations

Pethick

Winter

2021

Experimental Physiology

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“…Therefore, this reduction in torque complexity in frail group could be related to the loss of structural components, such as a reduction in the number of motor units, or changes in the coupling between them, for example in the reduction of synchrony in motor unit recruitment. 14 Torque complexity has been reported by Fiogbé et al 48 , who presented a reduction in knee extensor torque complexity in healthy older adults compared to young subjects. However, this is the first time it was verified that the presence of frailty syndrome caused greater reduction in torque complexity.…”

Section: Discussionmentioning

confidence: 78%

“…51 In this study, even frail older adults were able to respond adequately to requests for submaximal force maintenance, although they had a reduction in torque complexity. Fiogbé et al 48 compared the knee extensor torque complexity (at 15, 30 and 40% of MVC) in young subjects and healthy older adults. The findings were that although the older adults presented with a reduced complexity, the relationship with the increase in SIC was similar between older adults and young subjects.…”

Section: Discussionmentioning

confidence: 99%

Complexity of knee extensor torque in patients with frailty syndrome: a cross-sectional study

Carnavale

Fiogbé

Farche

et al. 2020

Brazilian Journal of Physical Therapy

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Background: Frailty syndrome is characterized by a marked reduction in physiological reserves and a clinical state of vulnerability to stress. Torque complexity analysis could reveal changes in the musculoskeletal systems that are the result of having the syndrome. Objective: The aim of this study was to evaluate the complexity of submaximal isometric knee extensor torque in frail, pre-frail, and non-frail older adults. A secondary aim was to analyze the torque complexity behavior in different force levels in each group. Methods: A cross-sectional study was conducted. Forty-two older adults were divided into three groups: non-frail (n = 15), pre-frail (n = 15), and frail (n = 12). The data collected included body composition, five times sit-to-stand test, walking speed, and isometric knee extensor torque at 15, 30, and 40% of maximal voluntary contraction. The knee extensor torque variability was evaluated by coefficient of variation, and the torque complexity was evaluated by approximate entropy and sample entropy. Results: The frail group presented a reduction in body mass and peak torque value compared to the non-frail group. Also, the frail group showed worse physical performance (on the five times sit-to-stand test and walking speed) compared to the pre-frail and non-frail groups. In addition, the frail older adults showed reduced torque complexity compared to the non-frail group. Finally, the association between torque complexity and force levels remained similar in all groups. Conclusion: Torque complexity is reduced in the presence of frailty syndrome.

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“…The strength of the knee extensor muscles of the dominant leg will be assessed using an isokinetic dynamometer (Biodex Multi joint System III; Biodex Medical System, Shirley, NY, USA), and the positioning for the acquisition of the signals according to a previous study. 25 Participants will carry out three maximal isometric voluntary contractions followed by three voluntary submaximal isometric knee extensions. The contraction intensities will be 15%, 30% and 40% of the highest maximal isometric voluntary contractions.…”

Section: Assessment Of Strength Of Knee Extensor Musclesmentioning

confidence: 99%

Pre‐Frail Multicomponent Training Intervention project for complexity of biological signals, functional capacity and cognition improvement in pre‐frail older adults: A blinded randomized controlled study protocol

Buto

Fiogbé

Vassimon‐Barroso

et al. 2019

Geriatrics Gerontology Int

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Aim Frailty syndrome is related to decreased physiological complexity, functional capacity and cognition. Physical exercise has been suggested to slow down and reverse this syndrome. However, evidence of its effectiveness is not as straightforward as conventionally admitted, as there is a lack of trials with rigorous methodology. The purpose of this study was to describe the Pre‐Frail Multicomponent Training Intervention protocol. Methods Cardiovascular, motor control and neuromuscular systems of pre‐frail older adults will be assessed by measuring the complexity of the output of these systems. Functional capacity and cognition will be assessed by specific tools. A 16‐week training protocol will be carried out on three alternate days, with 60‐min sessions, and combining aerobic, muscle strength, flexibility and balance exercises. The objective of this intervention is to improve the cardiovascular, motor control and neuromuscular systems, as well as functional capacity and cognition of pre‐frail older adults. The assessment of these systems will be carried out using gold standard devices. Results The results of the present study might allow clinical and functional support for the evaluation of the variables analyzed. Conclusion This protocol is easily reproducible and requires low‐cost materials, thus the Pre‐Frail Multicomponent Training Intervention could be a therapeutic strategy for pre‐frail older adults. Geriatr Gerontol Int 2019; 19: 684–689.

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Complexity of Knee Extensor Torque: Effect of Aging and Contraction Intensity

Cited by 12 publications

References 35 publications

Physiological complexity: influence of ageing, disease and neuromuscular fatigue on muscle force and torque fluctuations

Physiological complexity: influence of ageing, disease and neuromuscular fatigue on muscle force and torque fluctuations

Complexity of knee extensor torque in patients with frailty syndrome: a cross-sectional study

Pre‐Frail Multicomponent Training Intervention project for complexity of biological signals, functional capacity and cognition improvement in pre‐frail older adults: A blinded randomized controlled study protocol

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