Literature DB >> 31871766

Quantitative electrodiagnostic patterns of damage and recovery after spinal cord injury: a pilot study.

Elissa C Zakrasek1, Jeffrey P Jaramillo1, Zoia C Lateva1, Vandana Punj1, B Jenny Kiratli1, Kevin C McGill1.   

Abstract

Study design: Prospective observational pilot study.
Objectives: To compare quantitative electromyographic (EMG), imaging and strength data at two time points in individuals with cervical spinal cord injury (SCI). Setting: SCI center, Veterans Affairs Health Care System, Palo Alto, California, USA.
Methods: Subjects without suspected peripheral nerve injury were recruited within 3 months of injury. Needle EMG examination was performed in myotomes above, at, and below the SCI level around 11- and 12-months post injury. EMG data were decomposed using custom software into constituent motor unit trains and each distinct motor unit was analyzed for firing rate and amplitude. Strength measurements were made with dynamometry and according to the International Standard of Neurologic Classification of SCI (ISNCSCI). Cervical magnetic resonance images (MRI) were evaluated by two neuroradiologists for gray and white matter damage around the SCI. Here, we compare the EMG, strength, and imaging findings of the one of the four participants who completed both 3- and 12-month EMG evaluations.
Results: There was an increase in force generation in all muscles tested at 1 year. Localized findings of very fast firing motor units helped localize spinal cord damage and revealed gray matter damage in spinal segments where MRI was normal. Meanwhile, improvement in strength over time corresponded with different electrophysiologic patterns. Conclusions: Electromyographic decomposition at two time points provides valuable information about localization of spinal cord damage, integrity of motor neuron pools and may provide a unique understanding of neural recovery mechanisms. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019.

Entities:  

Keywords:  Electromyography - EMG; Health care

Mesh:

Year:  2019        PMID: 31871766      PMCID: PMC6908655          DOI: 10.1038/s41394-019-0246-0

Source DB:  PubMed          Journal:  Spinal Cord Ser Cases        ISSN: 2058-6124


  22 in total

1.  EMG signal decomposition: how can it be accomplished and used?

Authors:  D Stashuk
Journal:  J Electromyogr Kinesiol       Date:  2001-06       Impact factor: 2.368

2.  Needle electromyography. Fundamentals, normal and abnormal patterns.

Authors:  David C Preston; Barbara E Shapiro
Journal:  Neurol Clin       Date:  2002-05       Impact factor: 3.806

3.  EMGLAB: an interactive EMG decomposition program.

Authors:  Kevin C McGill; Zoia C Lateva; Hamid R Marateb
Journal:  J Neurosci Methods       Date:  2005-07-18       Impact factor: 2.390

Review 4.  AAEM minimonograph #11: Needle examination in clinical electromyography.

Authors:  J R Daube
Journal:  Muscle Nerve       Date:  1991-08       Impact factor: 3.217

5.  Electrophysiological dysfunction in the peripheral nervous system following spinal cord injury.

Authors:  Danny A Riley; Anthony S Burns; Monica Carrion-Jones; Timothy R Dillingham
Journal:  PM R       Date:  2011-05       Impact factor: 2.298

6.  Motor-unit discharge rates in maximal voluntary contractions of three human muscles.

Authors:  F Bellemare; J J Woods; R Johansson; B Bigland-Ritchie
Journal:  J Neurophysiol       Date:  1983-12       Impact factor: 2.714

7.  The paraplegic hand: electrodiagnostic studies and clinical findings.

Authors:  C G Tun; J Upton
Journal:  J Hand Surg Am       Date:  1988-09       Impact factor: 2.230

8.  Contractile properties in single muscle fibres from chronically overused motor units in relation to motoneuron firing properties in prior polio patients.

Authors:  L Larsson; X Li; A Tollbäck; L Grimby
Journal:  J Neurol Sci       Date:  1995-10       Impact factor: 3.181

9.  Injury zone denervation in traumatic quadriplegia in humans.

Authors:  S A Berman; R R Young; M Sarkarati; J M Shefner
Journal:  Muscle Nerve       Date:  1996-06       Impact factor: 3.217

10.  MR-pathologic comparisons of wallerian degeneration in spinal cord injury.

Authors:  J L Becerra; W R Puckett; E D Hiester; R M Quencer; A E Marcillo; M J Post; R P Bunge
Journal:  AJNR Am J Neuroradiol       Date:  1995-01       Impact factor: 3.825

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  1 in total

1.  Electrophysiological Study in Acute Spinal Cord Injury Patients: Its Correlation to Neurological Deficit and Subsequent Recovery Assessment by ASIA Score.

Authors:  Roop Singh; Jitendra Wadhwani; Vijay Singh Meena; Pankaj Sharma; Kiranpreet Kaur
Journal:  Indian J Orthop       Date:  2020-04-27       Impact factor: 1.251

  1 in total

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