Evidence map›Paper›PMID 35778757›Full record

Trial reportJournal of neuroengineering and rehabilitation2022

Myoelectric interface training enables targeted reduction in abnormal muscle co-activation.

Gang Seo, Ameen Kishta, Emily Mugler, Marc W Slutzky, Jinsook Roh

2 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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.

NCT03579992 nacompletednot on this map

Myoelectric Computer Interface to Reduce Muscle Co-activation After Stroke

TypeinterventionalSponsorNorthwestern UniversityRan2014 to 2017Enrolled35ConditionsStrokeArms60-min isometric MyCI training, 90-min isometric MyCI training, 90-min movement MyCI training
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

19 citing papers in PubMed, 33 citations in OpenAlex.

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  12. Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024
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  14. Neuromuscular Mechanisms of Motor Adaptation to Repeated Treadmill-Slip Perturbations During Stance in Healthy Young Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
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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

5 authors at 2 institutions in 2 countries.

Gang SeoDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, 3517 Cullen Blvd, SERC Room 2011, Houston, TX, 77204-5060, USA.
Ameen KishtaDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Emily MuglerDepartment of Neurology, Northwestern University, 320 E. Superior Ave., Searle 11-473, Chicago, IL, 60611, USA.
Marc W Slutzky *Department of Neurology, Northwestern University, 320 E. Superior Ave., Searle 11-473, Chicago, IL, 60611, USA. mslutzky@northwestern.edu.
Jinsook Roh *Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, 3517 Cullen Blvd, SERC Room 2011, Houston, TX, 77204-5060, USA. jroh@uh.edu.ORCID 0000-0002-5615-1735
Northwestern University · USUniversity of Houston · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after strokeR01NS112942 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PALLER, KEN A, SLUTZKY, MARC W. · 2019 to 2023
$2.8M
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic strokeR01NS099210 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SLUTZKY, MARC W. · 2016 to 2020
$1.7M
Myoelectric Computer Interface to Reduce Muscle Co-Activation after StrokeR21NS084069 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SLUTZKY, MARC W. · 2014 to 2015
$421k
NCATS NIH HHS UL1 TR001422NIH HHS R01NS099210NIH HHS R21NS084069NIH HHS UL1TR001422NINDS NIH HHS R01 NS099210NINDS NIH HHS R01 NS112942NINDS NIH HHS R21 NS084069
6 · The paper itself

Abstract

backgroundAbnormal patterns of muscle co-activation contribute to impaired movement after stroke. Previously, we developed a myoelectric computer interface (MyoCI) training paradigm to improve stroke-induced arm motor impairment by reducing the abnormal co-activation of arm muscle pairs. However, it is unclear to what extent the paradigm induced changes in the overall intermuscular coordination in the arm, as opposed to changing just the muscles trained with the MyoCI. This study examined the intermuscular coordination patterns of thirty-two stroke survivors who participated in 6 weeks of MyoCI training.

methodsWe used non-negative matrix factorization to identify the arm muscle synergies (coordinated patterns of muscle activity) during a reaching task before and after the training. We examined the extent to which synergies changed as the training reduced motor impairment. In addition, we introduced a new synergy analysis metric, disparity index (DI), to capture the changes in the individual muscle weights within a synergy.

resultsThere was no consistent pattern of change in the number of synergies across the subjects after the training. The composition of muscle synergies, calculated using a traditional synergy similarity metric, also did not change after the training. However, the disparity of muscle weights within synergies increased after the training in the participants who responded to MyoCI training-that is, the specific muscles that the MyoCI was targeting became less correlated within a synergy. This trend was not observed in participants who did not respond to the training.

conclusionsThese findings suggest that MyoCI training reduced arm impairment by decoupling only the muscles trained while leaving other muscles relatively unaffected. This suggests that, even after injury, the nervous system is capable of motor learning on a highly fractionated level. It also suggests that MyoCI training can do what it was designed to do-enable stroke survivors to reduce abnormal co-activation in targeted muscles. Trial registration This study was registered at ClinicalTrials.gov (NCT03579992, Registered 09 July 2018-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03579992?term=NCT03579992&draw=2&rank=1 ).

Indexed as

MusclesStrokeHumansMovementSurvivorsUpper ExtremityIntermuscular coordinationMuscle synergyMyoelectric computer interfaceStroke motor rehabilitation

Identifiers

PMID35778757
PMCPMC9250207
OpenAlexW4283761521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.