Evaluation of motor cortical excitability using evoked torque responses: A new tool with high reliability.


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 01 2021
Historique:
received: 04 08 2020
revised: 10 10 2020
accepted: 09 11 2020
pubmed: 16 11 2020
medline: 22 6 2021
entrez: 15 11 2020
Statut: ppublish

Résumé

Motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) are typically recorded via surface electromyography (EMG). However, another suitable alternative may be recording torque output associated with MEPs, especially when studying multiheaded muscles (e.g. quadriceps) for which EMG may not be ideal. We recorded the motor evoked torque elicited by TMS along with conventional EMG-based MEPs (MEP Motor evoked torque showed good to excellent reliability (ICC: 0.65-0.90) at TMS intensities ≥ 110 % AMT, except when normalized by peak MEP. The reliability of raw MEP When compared with conventional MEP TMS-induced motor evoked torque can reliably be used to measure corticospinal excitability in the quadriceps muscles.

Sections du résumé

BACKGROUND
Motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) are typically recorded via surface electromyography (EMG). However, another suitable alternative may be recording torque output associated with MEPs, especially when studying multiheaded muscles (e.g. quadriceps) for which EMG may not be ideal.
METHODS
We recorded the motor evoked torque elicited by TMS along with conventional EMG-based MEPs (MEP
RESULTS
Motor evoked torque showed good to excellent reliability (ICC: 0.65-0.90) at TMS intensities ≥ 110 % AMT, except when normalized by peak MEP. The reliability of raw MEP
COMPARISON WITH EXISTING METHODS
When compared with conventional MEP
CONCLUSIONS
TMS-induced motor evoked torque can reliably be used to measure corticospinal excitability in the quadriceps muscles.

Identifiants

pubmed: 33189794
pii: S0165-0270(20)30421-0
doi: 10.1016/j.jneumeth.2020.108998
pmc: PMC7855951
mid: NIHMS1646144
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

108998

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD086844
Pays : United States
Organisme : NICHD NIH HHS
ID : R21 HD092614
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

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Auteurs

Aastha K Dharia (AK)

NeuRRo Lab, Department of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.

Adam Gardi (A)

NeuRRo Lab, Department of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.

Amanda K Vogel (AK)

NeuRRo Lab, Department of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.

Aviroop Dutt-Mazumder (A)

NeuRRo Lab, Department of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.

Chandramouli Krishnan (C)

NeuRRo Lab, Department of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Michigan Robotics Institute, University of Michigan, Ann Arbor, MI, USA; School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address: mouli@umich.edu.

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Classifications MeSH