Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis
Abstract Objective Multiple Sclerosis (MS) is often accompanied by myelopathy, which may be associated with progressive worsening. A specific finding of MS‐associated myelopathy is McArdle sign, wherein neck flexion is associated with prominent increased limb weakness relative to that detected with...
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Format: | Article |
Language: | English |
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Wiley
2022-04-01
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Series: | Annals of Clinical and Translational Neurology |
Online Access: | https://doi.org/10.1002/acn3.51526 |
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author | Nathan D. Schilaty Filippo Savoldi Zahra Nasr Brian G. Weinshenker |
author_facet | Nathan D. Schilaty Filippo Savoldi Zahra Nasr Brian G. Weinshenker |
author_sort | Nathan D. Schilaty |
collection | DOAJ |
description | Abstract Objective Multiple Sclerosis (MS) is often accompanied by myelopathy, which may be associated with progressive worsening. A specific finding of MS‐associated myelopathy is McArdle sign, wherein neck flexion is associated with prominent increased limb weakness relative to that detected with neck extension. In this study, we characterized neuromotor control properties of finger extensors in association with the McArdle sign. Methods A custom‐built device was utilized to monitor torque production of the wrist extensors with simultaneous recording of surface electromyography of the extensor digitorum. The electromyography was decomposed and analyzed via both linear and nominal regressions. Results Linear regressions demonstrated a strong difference between groups for MS from healthy controls and other myelopathies for motor unit action potential amplitude and average firing rate (p < 0.001). Further, linear regression demonstrated good correlations of neuromotor variables to mechanical torque output (0.24 ≤ R2 ≤ 0.76). Nominal regression distinguished MS from healthy controls with an AUC of 0.87, specificity of 0.97, and sensitivity of 0.64. Nominal regression of MS from other myelopathies demonstrated an AUC of 0.88, specificity of 0.85, and sensitivity of 0.79. Interpretation These data demonstrate the neuromotor control factors that largely determine muscle force production change with the observation of McArdle sign; these neuromotor control factors can differentiate MS from both healthy controls and other myelopathy conditions. |
first_indexed | 2024-12-21T14:36:35Z |
format | Article |
id | doaj.art-b549f257fedc47aba5191d3a716d60db |
institution | Directory Open Access Journal |
issn | 2328-9503 |
language | English |
last_indexed | 2024-12-21T14:36:35Z |
publishDate | 2022-04-01 |
publisher | Wiley |
record_format | Article |
series | Annals of Clinical and Translational Neurology |
spelling | doaj.art-b549f257fedc47aba5191d3a716d60db2022-12-21T19:00:19ZengWileyAnnals of Clinical and Translational Neurology2328-95032022-04-019451552810.1002/acn3.51526Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosisNathan D. Schilaty0Filippo Savoldi1Zahra Nasr2Brian G. Weinshenker3Department of Neurosurgery & Brain Repair University of South Florida Tampa Florida USADepartment of Neurology Mayo Clinic Rochester Minnesota USADepartment of Neurology Mayo Clinic Rochester Minnesota USADepartment of Neurology Mayo Clinic Rochester Minnesota USAAbstract Objective Multiple Sclerosis (MS) is often accompanied by myelopathy, which may be associated with progressive worsening. A specific finding of MS‐associated myelopathy is McArdle sign, wherein neck flexion is associated with prominent increased limb weakness relative to that detected with neck extension. In this study, we characterized neuromotor control properties of finger extensors in association with the McArdle sign. Methods A custom‐built device was utilized to monitor torque production of the wrist extensors with simultaneous recording of surface electromyography of the extensor digitorum. The electromyography was decomposed and analyzed via both linear and nominal regressions. Results Linear regressions demonstrated a strong difference between groups for MS from healthy controls and other myelopathies for motor unit action potential amplitude and average firing rate (p < 0.001). Further, linear regression demonstrated good correlations of neuromotor variables to mechanical torque output (0.24 ≤ R2 ≤ 0.76). Nominal regression distinguished MS from healthy controls with an AUC of 0.87, specificity of 0.97, and sensitivity of 0.64. Nominal regression of MS from other myelopathies demonstrated an AUC of 0.88, specificity of 0.85, and sensitivity of 0.79. Interpretation These data demonstrate the neuromotor control factors that largely determine muscle force production change with the observation of McArdle sign; these neuromotor control factors can differentiate MS from both healthy controls and other myelopathy conditions.https://doi.org/10.1002/acn3.51526 |
spellingShingle | Nathan D. Schilaty Filippo Savoldi Zahra Nasr Brian G. Weinshenker Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis Annals of Clinical and Translational Neurology |
title | Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis |
title_full | Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis |
title_fullStr | Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis |
title_full_unstemmed | Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis |
title_short | Neuromotor control associates with muscle weakness observed with McArdle sign of multiple sclerosis |
title_sort | neuromotor control associates with muscle weakness observed with mcardle sign of multiple sclerosis |
url | https://doi.org/10.1002/acn3.51526 |
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