Literature DB >> 17084191

Objective assessment of cervical spinal cord injury levels by transcranial magnetic motor-evoked potentials.

Christopher B Shields1, Yi Ping Zhang, Lisa B E Shields, Darlene A Burke, Steven D Glassman.   

Abstract

BACKGROUND: The neurologic examination serves as the optimal method to record the level of spinal cord injury (SCI). However, this test is subject to interexaminer variability. To address this shortcoming, we describe a technique that uses transcranial magnetic motor-evoked potentials (tcMMEPs) and dermatomal somatosensory-evoked potentials (d-SSEPs) to more accurately measure the precise level of SCI.
METHODS: Two groups of subjects were studied: (1) complete cervical SCI (n = 10) and (2) neurologically intact volunteers (n = 10). Two additional patients were evaluated: one with a cervical central spinal cord syndrome and another with a head injury with a suspected cervical SCI. Each subject underwent upper extremity tcMMEPs and d-SSEPs.
RESULTS: Transcranial magnetic motor-evoked potentials were elicited from all upper limb myotomes (C4-T1, bilaterally) in neurologically intact volunteers (20 sides). The level of injury was determined using tcMMEPs by observing the lowest level of measurable response. The level of injury obtained using tcMMEPs was the same as that determined by neurologic examination in 13 (65%) of the 20 sides. In 7 sides, tcMMEP responses were obtained 1 level lower than that assessed by physical examination. Dermatomal somatosensory-evoked potentials were obtained from all dermatomes of volunteers tested in the laboratory compared with only 5 of the 9 patients with SCI who underwent d-SSEP testing.
CONCLUSION: Testing using tcMMEPs provides an objective supplement to the neurologic examination after acute cervical SCI. Dermatomal somatosensory-evoked potentials were of limited value in determining the level of cervical SCI.

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Year:  2006        PMID: 17084191     DOI: 10.1016/j.surneu.2006.04.009

Source DB:  PubMed          Journal:  Surg Neurol        ISSN: 0090-3019


  7 in total

1.  Diagnostic use of dermatomal somatosensory-evoked potentials in spinal disorders: Case series.

Authors:  Pinar Yalinay Dikmen; A Emre Oge
Journal:  J Spinal Cord Med       Date:  2013-05-08       Impact factor: 1.985

Review 2.  Application of electrophysiological measures in spinal cord injury clinical trials: a narrative review.

Authors:  Michèle Hubli; John L K Kramer; Catherine R Jutzeler; Jan Rosner; Julio C Furlan; Keith E Tansey; Martin Schubert
Journal:  Spinal Cord       Date:  2019-07-23       Impact factor: 2.772

3.  The impact of sacral sensory sparing in motor complete spinal cord injury.

Authors:  Steven Kirshblum; Amanda Botticello; Daniel P Lammertse; Ralph J Marino; Anthony E Chiodo; Amitabh Jha
Journal:  Arch Phys Med Rehabil       Date:  2011-03       Impact factor: 3.966

Review 4.  Spinal cord injury: how can we improve the classification and quantification of its severity and prognosis?

Authors:  Vibhor Krishna; Hampton Andrews; Abhay Varma; Jacobo Mintzer; Mark S Kindy; James Guest
Journal:  J Neurotrauma       Date:  2014-02-01       Impact factor: 5.269

5.  Transcranial magnetic motor evoked potentials and magnetic resonance imaging findings in paraplegic dogs with recovery of motor function.

Authors:  Johannes S Siedenburg; Adriano Wang-Leandro; Hanna-Luise Amendt; Karl Rohn; Andrea Tipold; Veronika M Stein
Journal:  J Vet Intern Med       Date:  2018-03-22       Impact factor: 3.333

6.  Dermatomal somatosensory evoked potentials and cortical somatosensory evoked potentials assessment in congenital scoliosis.

Authors:  Zhenxing Zhang; Yi Wang; Tao Luo; Huaguang Qi; Lin Cai; Yang Yuan; Jingfeng Li
Journal:  BMC Neurol       Date:  2022-02-15       Impact factor: 2.474

7.  Dynamic correlation of diffusion tensor imaging and neurological function scores in beagles with spinal cord injury.

Authors:  Chang-Bin Liu; De-Gang Yang; Qian-Ru Meng; Da-Peng Li; Ming-Liang Yang; Wei Sun; Wen-Hao Zhang; Chang Cai; Liang-Jie Du; Jun Li; Feng Gao; Yan Yu; Xin Zhang; Zhen-Tao Zuo; Jian-Jun Li
Journal:  Neural Regen Res       Date:  2018-05       Impact factor: 5.135

  7 in total

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