A new statistical test based on the wavelet cross-spectrum to detect time–frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions

The study of the correlations that may exist between neurophysiological signals is at the heart of modern techniques for data analysis in neuroscience. Wavelet coherence is a popular method to construct a time-frequency map that can be used to analyze the time-frequency correlations be- tween two time series. Coherence is a normalized measure of dependence, for which it is possible to construct confidence intervals, and that is commonly considered as being more interpretable than the wavelet cross-spectrum (WCS). In this paper, we provide empirical and theoretical arguments to show that a significant level of wavelet coherence does not necessarily correspond to a significant level of dependence between random signals, especially when the number of trials is small. In such cases, we demonstrate that the WCS is a much better measure of statistical dependence, and a new statistical test to detect significant values of the cross-spectrum is proposed. This test clearly outperforms the limitations of coherence analysis while still allowing a consistent estimation of the time-frequency correlations between two non-stationary stochastic processes. Simulated data are used to investigate the advantages of this new approach over coherence analysis. The method is also applied to experimental data sets to analyze the time-frequency correlations that may exist between electroencephalogram (EEG) and surface electromyogram (EMG)

Effect of low dose robotic-gait training on walking capacity in children and adolescents with cerebral palsy

Objective Robotic gait training presents a promising training modality. Nevertheless, evidence supporting the efficacy of such therapy in children with cerebral palsy remains insufficient. This study aimed to assess the effect of robotic gait training in children/adolescents with cerebral palsy. Methods Twenty-four children/adolescents with bilateral cerebral palsy (12 female, 10.1 ± 3.1 years, Gross Motor Function Classification System II to IV) took part in this study. They received two 30−45 min sessions/week of Lokomat training for 12-weeks. Muscle strengths, 6-min walk exercise and gait parameters were evaluated pre- and post-training and at 6-months-follow-up. Training effect according to the level of impairment severity (moderate vs severe) was analyzed using a change from the baseline procedure. Results A significant increase in muscle strength was observed after training (p ≤ 0.01). Hip flexors and knee extensors strength changes were maintained or improved at follow-up (p < 0.05). Comfortable walking speed was significantly increased by +20% after training with a slight reduction at follow-up compared to post-training condition (−2.7%, p < 0.05). A significant step length increase was observed after training (14%, p ≤ 0.001). The distance covered in 6 min was higher in post-training (+24%, p ≤ 0.001) and maintained at follow-up compared to pre-training conditions. No significant changes in kinematic patterns were observed. The analysis by subgroup showed that both groups of children (with moderate and severe impairments) improved muscle strength and walking capacities after Lokomat training. Conclusion The suggested Lokomat training induced improvement in walking capacity of children/adolescents with cerebral palsy whatever the level of severity. Hence, Lokomat training could be viewed as a valuable training modality in this population

Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task

Muscle fatigue is a risk factor for developing shoulder musculoskeletal disorders. The aim of this study was to identify shoulder electromyographic indicators that are most indicative of muscle fatigue during a laboratory simulated manual handling task. Thirty-two participants were equipped with electromyographic electrodes on 10 shoulder muscles and moved boxes for 45-minutes. The modified rate of perceived exertion (mRPE) was assessed every 5-minutes and multivariate linear regressions were performed between myoelectric manifestation of fatigue (MMF) and the mRPE scores. During a manual handling task representative of industry working conditions, spectral entropy, median frequency, and mobility were the electromyographic indicators that explained the largest percentage of the mRPE. Overall, the deltoids, biceps and upper trapezius were the muscles that most often showed significant changes over time in their electromyographic indicators. The combination of these three indicators may improve the accuracy for the assessment of MMF during manual handling

Effect of expertise on shoulder and upper limb kinematics, electromyography, and estimated muscle forces during a lifting task

Objective To highlight the working strategies used by expert manual handlers compared with novice manual handlers, based on recordings of shoulder and upper limb kinematics, electromyography (EMG), and estimated muscle forces during a lifting task. Background Novice workers involved in assembly, manual handling, and personal assistance tasks are at a higher risk of upper limb musculoskeletal disorders (MSDs). However, few studies have investigated the effect of expertise on upper limb exposure during workplace tasks. Method Sixteen experts in manual handling and sixteen novices were equipped with 10 electromyographic electrodes to record shoulder muscle activity during a manual handling task consisting of lifting a box (8 or 12 kg), instrumented with three six-axis force sensors, from hip to eye level. Three-dimensional trunk and upper limb kinematics, hand-to-box contact forces, and EMG were recorded. Then, joint contributions, activation levels, and muscle forces were calculated and compared between groups. Results Sternoclavicular–acromioclavicular joint contributions were higher in experts at the beginning of the movement, and in novices at the end, whereas the opposite was observed for the glenohumeral joint. EMG activation levels were 37% higher for novices but predicted muscle forces were higher in experts. Conclusion This study highlights significant differences between experts and novices in shoulder kinematics, EMG, and muscle forces; hence, providing effective work guidelines to ensure the development of a safe handling strategy is important. Application Shoulder kinematics, EMG, and muscle forces could be used as ergonomic tools to identify inappropriate techniques that could increase the prevalence of shoulder injuries

Neurophysiological changes induced by music-supported therapy for recovering upper extremity function after stroke: a case series

Music-supported therapy (MST) follows the best practice principles of stroke rehabilitation and has been proven to instigate meaningful enhancements in motor recovery post-stroke. The existing literature has established that the efficacy and specificity of MST relies on the reinforcement of auditory-motor functional connectivity in related brain networks. However, to date, no study has attempted to evaluate the underlying cortical network nodes that are key to the efficacy of MST post-stroke. In this case series, we evaluated changes in connectivity within the auditory-motor network and changes in upper extremity function following a 3-week intensive piano training in two stroke survivors presenting different levels of motor impairment. Connectivity was assessed pre- and post-training in the α- and the β-bands within the auditory-motor network using magnetoencephalography while participants were passively listening to a standardized melody. Changes in manual dexterity, grip strength, movement coordination, and use of the upper extremity were also documented in both stroke survivors. After training, an increase in the clinical measures was accompanied by enhancements in connectivity between the auditory and motor network nodes for both the α- and the β-bands, especially in the affected hemisphere. These neurophysiological changes associated with the positive effects of post-stroke MST on motor outcomes delineate a path for a larger scale clinical trial

Standardization proposal of soft tissue artefact description for data sharing in human motion measurements

Soft tissue artefact (STA) represents one of the main obstacles for obtaining accurate and reliable skeletal kinematics from motion capture. Many studies have addressed this issue, yet there is no consensus on the best available bone pose estimator and the expected errors associated with relevant results. Furthermore, results obtained by different authors are difficult to compare due to the high variability and specificity of the phenomenon and the different metrics used to represent these data. Therefore, the aim of this study was twofold: firstly, to propose standards for description of STA; and secondly, to provide illustrative STA data samples for body segments in the upper and lower extremities and for a range of motor tasks specifically, level walking, stair ascent, sit-to-stand, hip- and knee-joint functional movements, cutting motion, running, hopping, arm elevation and functional upper-limb movements. The STA dataset includes motion of the skin markers measured in vivo and ex vivo using stereophotogrammetry as well as motion of the underlying bones measured using invasive or bio-imaging techniques (i.e., X-ray fluoroscopy or MRI). The data are accompanied by a detailed description of the methods used for their acquisition, with information given about their quality as well as characterization of the STA using the proposed standards. The availability of open-access and standard-format STA data will be useful for the evaluation and development of bone pose estimators thus contributing to the advancement of three-dimensional human movement analysis and its translation into the clinical practice and other applications

Implication du cortex moteur primaire dans la régulation de la coactivation musculaire. Etude de la modulation des oscillations corticales et des interactions cortico-musculaires

Muscular coactivation is fundamental in stabilizing and protecting the articulations during voluntary contractions and plays an important role in movement control. Numerous studies have shown the contribution of supraspinal and spinal mechanisms to the regulation of muscular coactivation but the implication of the primary motor cortex (M1) is still unclear. We studied the modulation of cortical oscillations and cortico-muscular interactions during isometric contractions in athletes having different levels of muscular coactivation as a consequence of their training orientation (strength (ST) vs. endurance (ED). We found that in ST, reduced muscular coactivation was associated with greater M1 activation, which could be explained by the control of a greater number of muscles, including antagonist muscles. Using a novel method to analyze cortico-muscular interactions, we show that M1 is directly involved in the control of antagonist muscles in all participants. However, the magnitude of cortico-muscular interactions with antagonist muscles was lower than in agonist muscles, which could be explained by a greater involvement of spinal mechanisms in the regulation of muscular coactivation. The estimation of agonist and antagonist muscle group moments opens the perspective to investigate the cerebral correlates of the modulation of muscular torque. Our results obtained through an approach combining biomechanics and neurosciences highlighted the involvement of M1 in the regulation of the muscular coactivation during isometric voluntary contractions.La coactivation est un phénomène musculaire fondamental pour la stabilisation et la protection des articulations lors de contractions volontaires et joue un rôle essentiel dans le contrôle du mouvement. De nombreuses études ont montré que des mécanismes supraspinaux et spinaux contribuent à la régulation de la coactivation musculaire, mais l'implication du cortex moteur primaire (M1) est encore mal connue. Les modulations des oscillations corticales et des interactions cortico-musculaires ont été étudiées lors de contractions isométriques à différents niveaux de forces chez des participants présentant différents niveaux de coactivation musculaire en raison de leur spécialité sportive (entraînement en force (ST) vs. en endurance (ED)). Chez les ST, une moindre coactivation musculaire est associée à une plus grande activation du M1, ce qui pourrait s'expliquer par le contrôle d'un plus grand nombre de muscles, notamment des muscles antagonistes. Grâce à une méthode novatrice pour analyser les interactions cortico-musculaires, nous montrons qu'il existe un couplage entre le M1 est les muscles antagonistes chez l'ensemble des participants et dans toutes les directions de contraction. Cependant, la magnitude des interactions cortico-musculaires avec les muscles antagonistes est plus faible qu'avec les muscles agonistes, ce qui pourrait s'expliquer par une plus grande implication des mécanismes spinaux dans la régulation de la coactivation musculaire. L'estimation des moments musculaires agoniste et antagoniste à l'aide d'un modèle biomécanique EMG-assisté ouvre la perspective d'étudier directement les corrélats cérébraux des moments musculaires. Dans leur ensemble, nos résultats, obtenus à l'aide d'une approche combinant biomécanique et neurosciences, ont mis en évidence l'implication directe du M1 dans la régulation de la coactivation musculaire lors de contractions isométriques volontaires

Training-related decrease in antagonist muscles activation is associated with increased motor cortex activation: evidence of central mechanisms for control of antagonist muscles

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