Literature DB >> 7854803

Perception threshold and electrode position for spinal cord stimulation.

Jiping He1, Giancarlo Barolat, Jan Holsheimer, Johannes J Struijk.   

Abstract

The perception threshold for epidural spinal cord stimulation in chronic pain management was analyzed on 3,923 testing data obtained from 136 implanted patients. The initial areas of paresthesiae due to stimulation were recorded and reported as the stimulation map according to the location of electrodes. Measurement of dorsal thickness of the cerebrospinal fluid (CSF) layer was obtained from 26 subjects using magnetic resonance imaging (MRI). The results indicate that the perception threshold is a function of the spinal level of the implanted electrodes, of the mediolateral position in the spinal canal and the contact separation of electrode. Differences in perception threshold at various vertebral levels are mainly due to varying depths of the dorsal CSF layer. The medially placed electrodes caudal to the mid-cervical levels have a higher perception threshold than more laterally placed ones. The electrodes at high and mid-cervical levels, however, have a smaller perception threshold if placed medially. The information obtained from this investigation has important implications for the design of a new-generation stimulation system and clinical application to maximize the longevity of the power source.

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Year:  1994        PMID: 7854803     DOI: 10.1016/0304-3959(94)90047-7

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  10 in total

1.  Initiating extension of the lower limbs in subjects with complete spinal cord injury by epidural lumbar cord stimulation.

Authors:  B Jilge; K Minassian; F Rattay; M M Pinter; F Gerstenbrand; H Binder; M R Dimitrijevic
Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

2.  Optimum electrode geometry for spinal cord stimulation: the narrow bipole and tripole.

Authors:  J Holsheimer; W A Wesselink
Journal:  Med Biol Eng Comput       Date:  1997-09       Impact factor: 2.602

3.  Comparison of spinal cord stimulation profiles from intra- and extradural electrode arrangements by finite element modelling.

Authors:  Qiujun Huang; Hiroyuki Oya; Oliver E Flouty; Chandan G Reddy; Matthew A Howard; George T Gillies; Marcel Utz
Journal:  Med Biol Eng Comput       Date:  2014-04-27       Impact factor: 2.602

4.  Dorsal column steerability with dual parallel leads using dedicated power sources: a computational model.

Authors:  Dongchul Lee; Ewan Gillespie; Kerry Bradley
Journal:  J Vis Exp       Date:  2011-02-10       Impact factor: 1.355

5.  Evoked Potentials Recorded From the Spinal Cord During Neurostimulation for Pain: A Computational Modeling Study.

Authors:  Carlos J Anaya; Hans J Zander; Robert D Graham; Vishwanath Sankarasubramanian; Scott F Lempka
Journal:  Neuromodulation       Date:  2019-06-19

6.  Neural Recruitment During Conventional, Burst, and 10-kHz Spinal Cord Stimulation for Pain.

Authors:  Evan R Rogers; Hans J Zander; Scott F Lempka
Journal:  J Pain       Date:  2021-09-25       Impact factor: 5.820

7.  Predicted effects of pulse width programming in spinal cord stimulation: a mathematical modeling study.

Authors:  Dongchul Lee; Brad Hershey; Kerry Bradley; Thomas Yearwood
Journal:  Med Biol Eng Comput       Date:  2011-04-29       Impact factor: 2.602

Review 8.  Mechanisms of spinal cord stimulation for the treatment of pain: Still in the dark after 50 years.

Authors:  Melanie P Jensen; Robert M Brownstone
Journal:  Eur J Pain       Date:  2018-12-03       Impact factor: 3.931

9.  Sensing Evoked Compound Action Potentials from the Spinal Cord: Novel Preclinical and Clinical Considerations for the Pain Management Researcher and Clinician.

Authors:  Krishnan Chakravarthy; Hank Bink; David Dinsmoor
Journal:  J Pain Res       Date:  2020-12-04       Impact factor: 3.133

10.  A Fully Implantable Miniaturized Liquid Crystal Polymer (LCP)-Based Spinal Cord Stimulator for Pain Control.

Authors:  Seunghyeon Yun; Chin Su Koh; Jungmin Seo; Shinyong Shim; Minkyung Park; Hyun Ho Jung; Kyungsik Eom; Jin Woo Chang; Sung June Kim
Journal:  Sensors (Basel)       Date:  2022-01-10       Impact factor: 3.576

  10 in total

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