Muscle synergies reveal impaired trunk muscle coordination strategies in individuals with thoracic spinal cord injury

Milosevic, Matija; Yokoyama, Haruki; Grangeon, Murielle; Masani, Kei; Popović, Miloš R.; Nakazawa, Kimitaka; Gagnon, Dany H.

doi:10.1016/j.jelekin.2017.06.007

Cited by 45 publications

(34 citation statements)

References 23 publications

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“…Therefore, a fatigue-induced reduction in the ST's ability to mediate eccentric knee extension demands (Ono et al, 2010(Ono et al, , 2011) is likely to elevate imposed demands upon its synergists in a disproportionate fashion. While the ability to access the wealth of strategies within motor abundance is seen to be a representation of a robust movement system (Milosevic et al, 2017), a muscle less structurally tolerant or mechanically advantaged to mediate such imposed demands would indeed appear more vulnerable. This perspective suggests that while any potential strategy to the accommodation of the demands of terminal swing are welcome, some may possess greater risk than others.…”

Section: The Risk Of Synergistic Algebra?mentioning

confidence: 99%

Can we spread the risk? A demand-share perspective to sustained hamstring health

Blandford¹,

McNeill²,

Charvet

2018

Journal of Bodywork and Movement Therapies

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Can we spread the risk? A demand-share perspective to sustained hamstring health the model presents a capacity and demand-share perspective (Bouillard et al., 2014; Erdemir et al., 2007) to the ongoing problem of HSI. The model is sensitive to the multifactorial nature of HSI (Thorborg, 2014) and acknowledges that successful risk mitigation strategies must elicit change in numerous physiological, biomechanical, and neurophysiological qualities, which support diversity Contents lists available at ScienceDirect

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Section: The Risk Of Synergistic Algebra?mentioning

confidence: 99%

Can we spread the risk? A demand-share perspective to sustained hamstring health

Blandford¹,

McNeill²,

Charvet

2018

Journal of Bodywork and Movement Therapies

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“…Our study also showed that the number of co-activating muscles per synergy was higher in infants with CDD compared to infants with TD and ARDD (Figure 6 ), which implies more muscle co-contractions during crawling in infants with developmental delay. Increased co-contraction of muscles was also shown in individuals with spinal cord injury ( 7 ), cerebral palsy and stroke during locomotion ( 27 , 28 ). Previous studies have shown that a reduction in the descending signals resulted in higher co-activation of muscle ( 29 ).…”

Section: Discussionmentioning

confidence: 97%

“…Muscle synergy extraction based on surface electromyography (sEMGs) and non-negative matric factorization (NMF) algorithm has been used to explore muscle coordination during locomotion in neurotypical populations as well as a number of pathologic conditions, such as stroke ( 6 ), spinal cord injury ( 7 ), or cerebral palsy ( 8 ). For instance, Dominici et al concluded that two basic muscle synergies are retained through infant development, and are augmented by new synergies during the development of independent walking ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

Inter-Limb Muscle Synergies and Kinematic Analysis of Hands-and-Knees Crawling in Typically Developing Infants and Infants With Developmental Delay

Xiong

Yao

et al. 2018

Front. Neurol.

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Hands-and-knees-crawling is an important motor developmental milestone and a unique window into the development of central nervous system (CNS). Mobility during crawling is regularly used in clinical assessments to identify delays in motor development. However, possible contribution from CNS impairments to motor development delay is still unknown. The aim of this study was to quantify and compare inter-limb muscle synergy and kinematics during crawling among infants at a similar developmental age, however, clinically determined to be typically developing (TD, N = 20) infants, infants at risk of developmental delay (ARDD, N = 33), or infants with confirmed developmental delay (CDD, N = 13). We hypothesized that even though all of the groups are at a similar developmental age, there would be differences in kinematic measures during crawling, and such differences would be associated with CNS impairment as measured by electromyography (EMG) features. Surface EMG of eight arm and leg muscles and the corresponding joint kinematic data were collected while participants crawled on hands and knees at their self-selected velocity. Temporal-spatial parameters and normalized Jerk-Cost (JC) function (i.e., smoothness of movement) were computed from the measured kinematics. The inter-limb muscle synergy and the number of co-activating muscles per synergy were measured using EMGs. We found that the infants with CDD demonstrated higher normalized JC values (less movement smoothness), fewer muscle synergies, and more co-activating muscles per synergy, compared to infants with TD (p < 0.05) and ARDD (p < 0.05). Furthermore, the normalized JC values were correlated (p < 0.05) with the number of co-activation muscles per synergy. Our results suggest a constrained neuromuscular control strategy due to neurological injury in infants with CDD, and such constrain may contribute to the reduced movement smoothness in infant crawling.

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“…The application of a clustering algorithm for diagnosing gait disorder is discussed in a later section. Patients with thoracic spinal cord injury revealed lesser modules, higher cocontraction and, less directional tuning in relation to healthy individuals [46]. It is likely that the number of dimensional space was affected due to the choice of preprocessing [47].…”

Section: Extraction Of Muscle Synergiesmentioning

confidence: 99%

A Review of EMG Techniques for Detection of Gait Disorders

Singh¹,

Iqbal²,

White³

et al. 2019

Artificial Intelligence - Applications in Medicine and Biology

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Electromyography (EMG) is a commonly used technique to record myoelectric signals, i.e., motor neuron signals that originate from the central nervous system (CNS) and synergistically activate groups of muscles resulting in movement. EMG patterns underlying movement, recorded using surface or needle electrodes, can be used to detect movement and gait abnormalities. In this review article, we examine EMG signal processing techniques that have been applied for diagnosing gait disorders. These techniques span from traditional statistical tests to complex machine learning algorithms. We particularly emphasize those techniques are promising for clinical applications. This study is pertinent to both medical and engineering research communities and is potentially helpful in advancing diagnostics and designing rehabilitation devices.

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Muscle synergies reveal impaired trunk muscle coordination strategies in individuals with thoracic spinal cord injury

Cited by 45 publications

References 23 publications

Can we spread the risk? A demand-share perspective to sustained hamstring health

Can we spread the risk? A demand-share perspective to sustained hamstring health

Inter-Limb Muscle Synergies and Kinematic Analysis of Hands-and-Knees Crawling in Typically Developing Infants and Infants With Developmental Delay

A Review of EMG Techniques for Detection of Gait Disorders

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