ArticleBrain communications2022
Muscle synergy analysis yields an efficient and physiologically relevant method of assessing stroke.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Tai Ji for stroke rehabilitation: a randomized controlled trial on improving upper limb function and cortico-muscular coupling in stroke patients.Journal of neuroengineering and rehabilitation · 2026Trial
- Task complexity amplifies spatial asymmetry of muscle synergy plasticity in chronic stroke survivors.Journal of neuroengineering and rehabilitation · 2026Article
- Muscle synergy-driven ensemble learning framework for individualized stroke gait rehabilitation.Scientific reports · 2025Article
- Deficient Muscle Coordination Patterns of Reactive Stepping Responses in People With Chronic Stroke.Neurorehabilitation and neural repair · 2025Article
- Can EMG-Derived Upper Limb Muscle Synergies Serve as Markers for Post-Stroke Motor Assessment and Prediction of Rehabilitation Outcome?Sensors (Basel, Switzerland) · 2025Article
- Neural control meets biomechanics in the motor assessment of neurological disorders: a narrative review.Frontiers in neural circuits · 2025Review
- Alterations of upper-extremity functional muscle networks in chronic stroke survivors.Experimental brain research · 2024Article
- Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024Article
- Transferring Sensor-Based Assessments to Clinical Practice: The Case of Muscle Synergies.Sensors (Basel, Switzerland) · 2024Article
- Dissecting muscle synergies in the task space.eLife · 2024Article
- Motor patterns of patients with spinal muscular atrophy suggestive of sensory and corticospinal contributions to the development of locomotor muscle synergies.Journal of neurophysiology · 2024Article
- Comparison of muscle synergies in walking and pedaling: the influence of rotation direction and speed.Frontiers in neuroscience · 2024Article
- Myoelectric control and virtual reality to enhance motor rehabilitation after stroke.Frontiers in bioengineering and biotechnology · 2024Article
- Quantitative evaluation of motion compensation in post-stroke rehabilitation training based on muscle synergy.Frontiers in bioengineering and biotechnology · 2024Article
- Muscle synergies for evaluating upper limb in clinical applications: A systematic review.Heliyon · 2023Review
- Evidence of synergy coordination patterns of upper-limb motor control in stroke patients with mild and moderate impairment.Frontiers in physiology · 2023Article
- Computational prediction of muscle synergy using a finite element framework for a musculoskeletal model on lower limb.Frontiers in bioengineering and biotechnology · 2023Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Fugl-Meyer Assessment is widely used to test motor function in stroke survivors. In the Fugl-Meyer Assessment, stroke survivors perform several movement tasks and clinicians subjectively rate the performance of each task item. The individual task items in the Fugl-Meyer Assessment are selected on the basis of clinical experience, and their physiological relevance has not yet been evaluated. In the present study, we aimed to objectively rate the performance of task items by measuring the muscle activity of 41 muscles from the upper body while stroke survivors and healthy participants performed 37 Fugl-Meyer Assessment upper extremity task items. We used muscle synergy analysis to compare muscle activity between subjects and found that 13 muscle synergies in the healthy participants (which we defined as standard synergies) were able to reconstruct all of the muscle activity in the Fugl-Meyer Assessment. Among the standard synergies, synergies involving the upper arms, forearms and fingers were activated to varying degrees during different task items. In contrast, synergies involving posterior trunk muscles were activated during all tasks, which suggests the importance of posterior trunk muscle synergies throughout all sequences. Furthermore, we noted the inactivation of posterior trunk muscle synergies in stroke survivors with severe but not mild impairments, suggesting that lower trunk stability and the underlying activity of posterior trunk muscle synergies may have a strong influence on stroke severity and recovery. By comparing the synergies of stroke survivors with standard synergies, we also revealed that some synergies in stroke survivors corresponded to merged standard synergies; the merging rate increased with the impairment of stroke survivors. Moreover, the degrees of severity-dependent changes in the merging rate (the merging rate-severity relationship) were different among different task items. This relationship was significant for 26 task items only and not for the other 11 task items. Because muscle synergy analysis evaluates coordinated muscle activities, this different dependency suggests that these 26 task items are appropriate for evaluating muscle coordination and the extent of its impairment in stroke survivors. Overall, we conclude that the Fugl-Meyer Assessment reflects physiological function and muscle coordination impairment and suggest that it could be performed using a subset of the 37 task items.
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