Abstract

Existing work indicates that the degree of variation of somatosensory evoked potential (SEP) signals between a healthy spinal pathway and spinal pathway affected by spinal cord injury (SCI) can be used to evaluate the integrity of the spinal pathway. This paper develops a metric that exploits the time-domain features of SEP signals (relative amplitude, time scaling, and time duration) in order to quantify the level of SCI. The proposed method is tested on actual SEP signals collected from rodents afflicted with focal demyelination SCI. Results indicate that the proposed method provides a robust assessment of the different degrees of demyelination in the spinal cord.

Highlights

  • The spinal cord provides a transmission pathway for motor and sensory signals between the central and peripheral nervous systems [1]

  • Existing work indicates that the degree of variation of somatosensory evoked potential (SEP) signals between a healthy spinal pathway and spinal pathway affected by spinal cord injury (SCI) can be used to evaluate the integrity of the spinal pathway

  • This paper develops a metric that exploits the time-domain features of SEP signals in order to quantify the level of SCI

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Summary

Introduction

The spinal cord provides a transmission pathway for motor and sensory signals between the central and peripheral nervous systems [1]. Somatosensory evoked potentials (SEP), which are cortical signals recorded in response to sensory stimulation, are obtained by electrical stimulation of the median nerve at the wrist or the posterior tibial nerve at the ankle [7] This technique can be used to monitor the ongoing neurophysiological changes during the recovery period after SCI. Previous work [10,11,12] has been done to develop metrics for quantifying the level of SCI by comparing the variation between SEP signals. Parameters relating the time-domain variation between SEP signals collected on rodents are used to evaluate the level of SCI.

Protocol and Data Collection
Quantification Metrics
Experimental Results
Conclusions

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