Evidence map›Paper›PMID 37658406›Full record

ArticleJournal of neuroengineering and rehabilitation2023

Developing new intermuscular coordination patterns through an electromyographic signal-guided training in the upper extremity.

Gang Seo, Jeong-Ho Park, Hyung-Soon Park, Jinsook Roh

Registry-linked trialAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07531264 (Neuro-Intermuscular Coordination Enhancement), which is not on this 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.

NCT07531264 early_phase1not yet recruitingnot on this mapstarted 2027, after this paper: background citation

Neuro-Intermuscular Coordination Enhancement (NICE) Rehabilitation

TypeinterventionalSponsorUniversity of HoustonRan2027 to 2032Enrolled48ConditionsChronic Stroke-related Upper-extremity Motor Impairment, Motor Module-guided Rehabilitation Targeting Impaired Intermuscular Coordination and Motor RecoveryArmsNeuromuscular coordination enhancement (NICE) intervention, EMG Amplitude Biofeedback Exercise
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024
    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

4 authors.

Gang SeoDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX, USA.
Jeong-Ho ParkDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea.
Hyung-Soon Park *Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea. hyungspark@kaist.ac.kr.
Jinsook Roh *Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX, USA. jroh@uh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle synergies, computationally identified intermuscular coordination patterns, have been utilized to characterize neuromuscular control and learning in humans. However, it is unclear whether it is possible to alter the existing muscle synergies or develop new ones in an intended way through a relatively short-term motor exercise in adulthood. This study aimed to test the feasibility of expanding the repertoire of intermuscular coordination patterns through an isometric, electromyographic (EMG) signal-guided exercise in the upper extremity (UE) of neurologically intact individuals.

methods10 participants were trained for six weeks to induce independent control of activating a pair of elbow flexor muscles that tended to be naturally co-activated in force generation. An untrained isometric force generation task was performed to assess the effect of the training on the intermuscular coordination of the trained UE. We applied a non-negative matrix factorization on the EMG signals recorded from 12 major UE muscles during the assessment to identify the muscle synergies. In addition, the performance of training tasks and the characteristics of individual muscles' activity in both time and frequency domains were quantified as the training outcomes.

resultsTypically, in two weeks of the training, participants could use newly developed muscle synergies when requested to perform new, untrained motor tasks by activating their UE muscles in the trained way. Meanwhile, their habitually expressed muscle synergies, the synergistic muscle activation groups that were used before the training, were conserved throughout the entire training period. The number of muscle synergies activated for the task performance remained the same. As the new muscle synergies were developed, the neuromotor control of the trained muscles reflected in the metrics, such as the ratio between the targeted muscles, number of matched targets, and task completion time, was improved.

conclusionThese findings suggest that our protocol can increase the repertoire of readily available muscle synergies and improve motor control by developing the activation of new muscle coordination patterns in healthy adults within a relatively short period. Furthermore, the study shows the potential of the isometric EMG-guided protocol as a neurorehabilitation tool for aiming motor deficits induced by abnormal intermuscular coordination after neurological disorders.

trial registrationThis study was registered at the Clinical Research Information Service (CRiS) of the Korea National Institute of Health (KCT0005803) on 1/22/2021.

Indexed as

Elbow JointUpper ExtremityAdultAlgorithmsHumansLearningMuscle, SkeletalEMG-guided exerciseIntermuscular coordinationMotor neurorehabilitationMuscle synergyMyoelectric computer interface

Identifiers

PMID37658406
PMCPMC10474681

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Registered trials

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.