A novel method to generalize time-frequency coherence analysis between EEG or EMG signals during repetitive trials with high intra-subject variability in duration

Fauvet, Maxime; Crémoux, Sylvain; Chalard, Alexandre; Tisseyre, Joseph; Gasq, David; Amarantini, David

doi:10.1109/ner.2019.8716973

Cited by 10 publications

(5 citation statements)

References 20 publications

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“…These parameters set the timefrequency precision compromise to a 0.1 s -3 Hz precision window within the β (13-30 Hz) frequency band. To cope with the issue of inter-trial duration variability that can lead to power spectrum cancelation, a normalization procedure was used to obtain EEG and EMG time-frequency power and EEG-EMG coherence spectra with time expressed as a percentage of elbow extension movement time (Fauvet et al, 2019). This normalization step is designed as to preserve frequency content of signals and enable point-wise comparison between trials of different durations.…”

Section: Corticomuscular Coherence Analysis Corticomuscular Coherence Calculationmentioning

confidence: 99%

Temporal Dynamics of Corticomuscular Coherence Reflects Alteration of the Central Mechanisms of Neural Motor Control in Post-Stroke Patients

Fauvet

Gasq

Chalard

et al. 2021

Front. Hum. Neurosci.

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The neural control of muscular activity during a voluntary movement implies a continuous updating of a mix of afferent and efferent information. Corticomuscular coherence (CMC) is a powerful tool to explore the interactions between the motor cortex and the muscles involved in movement realization. The comparison of the temporal dynamics of CMC between healthy subjects and post-stroke patients could provide new insights into the question of how agonist and antagonist muscles are controlled related to motor performance during active voluntary movements. We recorded scalp electroencephalography activity, electromyography signals from agonist and antagonist muscles, and upper limb kinematics in eight healthy subjects and seventeen chronic post-stroke patients during twenty repeated voluntary elbow extensions and explored whether the modulation of the temporal dynamics of CMC could contribute to motor function impairment. Concomitantly with the alteration of elbow extension kinematics in post-stroke patients, dynamic CMC analysis showed a continuous CMC in both agonist and antagonist muscles during movement and highlighted that instantaneous CMC in antagonist muscles was higher for post-stroke patients compared to controls during the acceleration phase of elbow extension movement. In relation to motor control theories, our findings suggest that CMC could be involved in the online control of voluntary movement through the continuous integration of sensorimotor information. Moreover, specific alterations of CMC in antagonist muscles could reflect central command alterations of the selectivity in post-stroke patients.

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Section: Corticomuscular Coherence Analysis Corticomuscular Coherence Calculationmentioning

confidence: 99%

Temporal Dynamics of Corticomuscular Coherence Reflects Alteration of the Central Mechanisms of Neural Motor Control in Post-Stroke Patients

Fauvet

Gasq

Chalard

et al. 2021

Front. Hum. Neurosci.

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“…After epoching each continuous electrophysiological signal of interest 3 s before and 3 s after each movement and normalized them to account for inter-movement time variability, 31 the auto-spectra of each electroencephalographic and electromyographic signal were calculated. The parameters ‘nvoice’ (scale resolution of wavelets), ‘J1’ (number of scales) and ‘wavenumber’ (Morlet mother wavelet parameter) were, respectively, set to 7, 50 and 10 to yield accurate identification of oscillatory activity in the 0.23–79.97 Hz frequency range in 0.23 steps.…”

Section: Methodsmentioning

confidence: 99%

Corticomuscular and intermuscular coherence are correlated after stroke: a simplified motor control?

Delcamp

Gasq

Cormier

et al. 2023

Brain Communications

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During movement, corticomuscular coherence is a measure of central-peripheral communication while intermuscular coherence is a measure of the amount of common central drive to the muscles. Although these two measures being modified in stroke subjects, no author has explored a correlation between them, neither in stroke subjects nor in healthy subjects. 24 chronic stroke subjects and 22 control healthy subjects were included in this cohort study and performed 20 active elbow extension movements. The electroencephalographic and electromyographic activity of elbow flexors and extensor were recorded. Corticomuscular and intermuscular coherence were calculated in the time-frequency domain for each limb of stroke and control subjects. Partial rank correlations were performed to study the link between these two variables. Our results showed a positive correlation between corticomuscular and intermuscular coherence only for stroke subjects, for their paretic and nonparetic limb (p < 0.022; Rho > 0.50). These results suggest, beyond the cortical and spinal hypothesis to explained them, that stroke subjects present a form of simplification of motor control. When central-peripheral communication increases, it is less modulated and more common to the muscles involved in the active movement. This motor control simplification suggests a new way of understanding the plasticity of the neuromuscular system after stroke.

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“…Electromyographic continuous data were band-stop filtered at 49–51 Hz ( Krauth et al, 2019 ) to remove power line noise. As was done in Fauvet et al (2019 , 2021) , Glories et al (2021) , and Delcamp et al (2022) , the EMG signal was then 3-100 Hz band-pass filtered to keep the denoised part of the EMG signal energy that is necessary for reliable quantification of intermuscular coherence in the frequency band of interest in the present study. All the filters were fourth-order, zero-lag Butterworth types.…”

Section: Methodsmentioning

confidence: 99%

“…For IMC analysis, the continuous EMG data were segmented from 3 s before and 3 s after each movement to limit the alteration of the ends of the signals during the pre-processing. Then the signals were normalized to account for inter-movement time variability ( Fauvet et al, 2019 ). During this step, the 3 s of retained signals at the movement’s ends were removed.…”

Section: Methodsmentioning

confidence: 99%

Changes in intermuscular connectivity during active elbow extension reveal a functional simplification of motor control after stroke

et al. 2022

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BackgroundStroke alters muscle co-activation and notably leads to exaggerated antagonist co-contraction responsible for impaired motor function. However, the mechanisms underlying this exaggerated antagonist co-contraction remain unclear. To fill this gap, the analysis of oscillatory synchronicity in electromyographic signals from synergistic muscles, also called intermuscular coherence, was a relevant tool.ObjectiveThis study compares functional intermuscular connectivity between muscle pairs of the paretic and non-paretic upper limbs of stroke subjects and the dominant limb of control subjects, concomitantly between two muscle pairs with a different functional role, through an intermuscular coherence analysis.MethodsTwenty-four chronic stroke subjects and twenty-four healthy control subjects were included. Subjects performed twenty elbow extensions while kinematic data and electromyographic activity of both flexor and extensor elbow muscles were recorded. Intermuscular coherence was analyzed in the beta frequency band compared to the assessment of antagonist co-contraction.ResultsIntermuscular coherence was higher in the stroke subjects’ paretic limbs compared to control subjects. For stroke subjects, the intermuscular coherence of the antagonist-antagonist muscle pair (biceps brachii—brachioradialis) was higher than that of the agonist-antagonist muscle pair (triceps brachii—brachioradialis). For the paretic limb, intermuscular coherence of the antagonist-antagonist muscle pair presented a negative relationship with antagonist co-contraction.ConclusionDifferences in intermuscular coherence between the paretic limbs of stroke subjects and control subjects suggest a higher common central drive during movement. Furthermore, results highlight the association between stroke-related alteration of intermuscular functional connectivity and the alteration of motor function.

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A novel method to generalize time-frequency coherence analysis between EEG or EMG signals during repetitive trials with high intra-subject variability in duration

Cited by 10 publications

References 20 publications

Temporal Dynamics of Corticomuscular Coherence Reflects Alteration of the Central Mechanisms of Neural Motor Control in Post-Stroke Patients

Temporal Dynamics of Corticomuscular Coherence Reflects Alteration of the Central Mechanisms of Neural Motor Control in Post-Stroke Patients

Corticomuscular and intermuscular coherence are correlated after stroke: a simplified motor control?

Changes in intermuscular connectivity during active elbow extension reveal a functional simplification of motor control after stroke

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