ArticleFrontiers in neuroscience2022
Changes in intermuscular connectivity during active elbow extension reveal a functional simplification of motor control after stroke.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Spinal cord stimulation for upper limb motor function in people with chronic post-stroke hemiparesis: a feasibility trial.Nature medicine · 2026Trial
- Spinal cord stimulation modulates post-synaptic inhibition to improve arm neuromotor control after chronic stroke.Cell reports. Medicine · 2026Article
- Sensorimotor Integration by Targeted Priming in Muscles with Electromyography-Driven Electro-vibro-feedback in Robot-Assisted Wrist/Hand Rehabilitation after Stroke.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.Journal of neuroengineering and rehabilitation · 2025Article
- Spinal cord stimulation modulates post-synaptic inhibition improving neuromotor control of arm movement in people with chronic hemiparesis post-stroke.medRxiv : the preprint server for health sciences · 2025Article
- Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke.Progress in biomedical engineering (Bristol, England) · 2025Review
- Wavelet Coherence Analysis of Post-Stroke Intermuscular Coupling Modulated by Myoelectric-Controlled Interfaces.Bioengineering (Basel, Switzerland) · 2024Article
- Corticomuscular and intermuscular coherence are correlated after stroke: a simplified motor control?Brain communications · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stroke 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. Objective: This 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. Methods: Twenty-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. Results: Intermuscular 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. Conclusion: Differences 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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