Evidence map›Paper›PMID 35359620›Full record

ArticleFrontiers in systems neuroscience2022

Clarify Sit-to-Stand Muscle Synergy and Tension Changes in Subacute Stroke Rehabilitation by Musculoskeletal Modeling.

Ruoxi Wang, Qi An, Ningjia Yang, Hiroki Kogami, Kazunori Yoshida, Hiroshi Yamakawa, Hiroyuki Hamada, Shingo Shimoda, Hiroshi R Yamasaki, Moeka Yokoyama and 8 more

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests.IEEE open journal of engineering in medicine and biology · 2023
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ruoxi WangDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Qi AnDepartment of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
Ningjia YangRIKEN Center for Brain Science, Aichi, Japan.
Hiroki KogamiDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Kazunori YoshidaDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Hiroshi YamakawaDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Hiroyuki HamadaDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Shingo ShimodaRIKEN Center for Brain Science, Aichi, Japan.
Hiroshi R YamasakiDepartment of Physical Therapy, Saitama Prefectural University, Saitama, Japan.
Moeka YokoyamaRIKEN Center for Brain Science, Aichi, Japan.
Fady AlnajjarRIKEN Center for Brain Science, Aichi, Japan.
Noriaki HattoriDepartment of Rehabilitation, University of Toyama, Toyama, Japan.
Kouji TakahashiMorinomiya Hospital, Osaka, Japan.
Takanori FujiiMorinomiya Hospital, Osaka, Japan.
Hironori OtomuneMorinomiya Hospital, Osaka, Japan.
Ichiro MiyaiMorinomiya Hospital, Osaka, Japan.
Atsushi YamashitaDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Hajime AsamaDepartment of Precision Engineering, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-stroke patients exhibit distinct muscle activation electromyography (EMG) features in sit-to-stand (STS) due to motor deficiency. Muscle activation amplitude, related to muscle tension and muscle synergy activation levels, is one of the defining EMG features that reflects post-stroke motor functioning and motor impairment. Although some qualitative findings are available, it is not clear if and how muscle activation amplitude-related biomechanical attributes may quantitatively reflect during subacute stroke rehabilitation. To better enable a longitudinal investigation into a patient's muscle activation changes during rehabilitation or an inter-subject comparison, EMG normalization is usually applied. However, current normalization methods using maximum voluntary contraction (MVC) or within-task peak/mean EMG may not be feasible when MVC cannot be obtained from stroke survivors due to motor paralysis and the subject of comparison is EMG amplitude. Here, focusing on the paretic side, we first propose a novel, joint torque-based normalization method that incorporates musculoskeletal modeling, forward dynamics simulation, and mathematical optimization. Next, upon method validation, we apply it to quantify changes in muscle tension and muscle synergy activation levels in STS motor control units for patients in subacute stroke rehabilitation. The novel method was validated against MVC-normalized EMG data from eight healthy participants, and it retained muscle activation amplitude differences for inter- and intra-subject comparisons. The proposed joint torque-based method was also compared with the common static optimization based on squared muscle activation and showed higher simulation accuracy overall. Serial STS measurements were conducted with four post-stroke patients during their subacute rehabilitation stay (137 ± 22 days) in the hospital. Quantitative results of patients suggest that maximum muscle tension and activation level of muscle synergy temporal patterns may reflect the effectiveness of subacute stroke rehabilitation. A quality comparison between muscle synergies computed with the conventional within-task peak/mean EMG normalization and our proposed method showed that the conventional was prone to activation amplitude overestimation and underestimation. The contributed method and findings help recapitulate and understand the post-stroke motor recovery process, which may facilitate developing more effective rehabilitation strategies for future stroke survivors.

Indexed as

EMG normalizationmuscle synergymuscle tensionmusculoskeletal modelingsit-to-stand (STS)strokesubacute rehabilitation

Identifiers

PMID35359620
PMCPMC8963921

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.