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Electrocutaneous reflexes and multimodality evoked potentials in multiple sclerosis.

W G Friedli1, P Fuhr

  • 1Department of Neurology, University Hospital, Basel, Switzerland.

Journal of Neurology, Neurosurgery, and Psychiatry
|May 1, 1990
PubMed
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Electrical stimulation of digital nerves creates an electrocutaneous reflex (ECR). This reflex is altered in 56% of multiple sclerosis patients, aiding in central nervous system lesion detection.

Area of Science:

  • Neuroscience
  • Clinical Electrophysiology

Background:

  • The electrocutaneous reflex (ECR) involves changes in EMG signals from digital nerve stimulation.
  • Assessing ECR aids in understanding central nervous system (CNS) function and potential lesions.

Purpose of the Study:

  • To investigate the utility of electrocutaneous reflex (ECR) testing in diagnosing multiple sclerosis (MS).
  • To compare ECR abnormalities with other electrophysiological tests like evoked potentials.

Main Methods:

  • Studied 90 patients with multiple sclerosis, classifying them by diagnostic criteria.
  • Recorded electrocutaneous reflexes (ECR) via electrical stimulation of the index finger's digital nerves.
  • Compared ECR findings with visual evoked responses (VER), brainstem auditory evoked responses (BAER), and somatosensory evoked potentials (SSEP).

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Main Results:

  • ECR abnormalities were detected in 56% of patients, correlating with MS diagnostic probability.
  • Pathological ECR findings occurred in 28% of hands without clinical sensorimotor deficits.
  • ECR abnormalities showed a higher detection rate than somatosensory evoked potentials (SSEPs) from finger stimulation and brainstem auditory evoked responses (BAER).

Conclusions:

  • Electrocutaneous reflex (ECR) testing is a valuable supplementary tool for detecting central nervous system lesions in multiple sclerosis.
  • ECR abnormalities can be present even without overt clinical signs, highlighting its sensitivity.
  • ECR testing offers a sensitive method for CNS lesion detection, complementing existing electrophysiological techniques.