Muscle synergy analysis yields an efficient and physiologically relevant method of assessing stroke.

Fugl-Meyer assessment muscle synergy rehabilitation stroke

Journal

Brain communications
ISSN: 2632-1297
Titre abrégé: Brain Commun
Pays: England
ID NLM: 101755125

Informations de publication

Date de publication:
2022
Historique:
received: 06 08 2021
revised: 30 05 2022
accepted: 02 08 2022
entrez: 17 8 2022
pubmed: 18 8 2022
medline: 18 8 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35974798
doi: 10.1093/braincomms/fcac200
pii: fcac200
pmc: PMC9374474
doi:

Types de publication

Journal Article

Langues

eng

Pagination

fcac200

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.

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Auteurs

Tetsuro Funato (T)

Department of Mechanical Engineering and Intelligent Systems, The University of Electro-communications, Tokyo 182-8585, Japan.

Noriaki Hattori (N)

Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka 536-0025, Japan.

Arito Yozu (A)

Center for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki 300-0394, Japan.

Qi An (Q)

Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

Tomomichi Oya (T)

Department of Neurophysiology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan.

Shouhei Shirafuji (S)

Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

Akihiro Jino (A)

Department of Rehabilitation, Morinomiya Hospital, Osaka 536-0025, Japan.

Kyoichi Miura (K)

Department of Rehabilitation, Morinomiya Hospital, Osaka 536-0025, Japan.

Giovanni Martino (G)

Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome 00179, Italy.

Denise Berger (D)

Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome 00179, Italy.

Ichiro Miyai (I)

Neurorehabilitation Research Institute, Morinomiya Hospital, Osaka 536-0025, Japan.

Jun Ota (J)

Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

Yury Ivanenko (Y)

Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome 00179, Italy.

Andrea d'Avella (A)

Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome 00179, Italy.

Kazuhiko Seki (K)

Department of Neurophysiology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan.

Classifications MeSH