Journal article
Comparison of spinal cord stimulation profiles from intra- and extradural electrode arrangements by finite element modelling
Medical & biological engineering & computing, Vol.52(6), pp.531-538
06/2014
DOI: 10.1007/s11517-014-1157-7
PMID: 24771203
Abstract
Spinal cord stimulation currently relies on extradural electrode arrays that are separated from the spinal cord surface by a highly conducting layer of cerebrospinal fluid. It has recently been suggested that intradural placement of the electrodes in direct contact with the pial surface could greatly enhance the specificity and efficiency of stimulation. The present computational study aims at quantifying and comparing the electrical current distributions as well as the spatial recruitment profiles resulting from extra- and intra-dural electrode arrangements. The electrical potential distribution is calculated using a 3D finite element model of the human thoracic spinal canal. The likely recruitment areas are then obtained using the potential as input to an equivalent circuit model of the pre-threshold axonal response. The results show that the current threshold to recruitment of axons in the dorsal column is more than an order of magnitude smaller for intradural than extradural stimulation. Intradural placement of the electrodes also leads to much higher contrast between the stimulation thresholds for the dorsal root entry zone and the dorsal column, allowing better focusing of the stimulus.
Details
- Title: Subtitle
- Comparison of spinal cord stimulation profiles from intra- and extradural electrode arrangements by finite element modelling
- Creators
- Qiujun Huang - Department of Mechanical Engineering University of Virginia Charlottesville VA 22903 USAHiroyuki Oya - Department of Neurosurgery University of Iowa Hospitals and Clinics Iowa City IA 52242 USAOliver Flouty - Department of Neurosurgery University of Iowa Hospitals and Clinics Iowa City IA 52242 USAChandan Reddy - Department of Neurosurgery University of Iowa Hospitals and Clinics Iowa City IA 52242 USAMatthew Howard III - Department of Neurosurgery University of Iowa Hospitals and Clinics Iowa City IA 52242 USAGeorge Gillies - Department of Mechanical Engineering University of Virginia Charlottesville VA 22903 USAMarcel Utz - School of Chemistry University of Southampton Southampton SO17 1BJ UK
- Resource Type
- Journal article
- Publication Details
- Medical & biological engineering & computing, Vol.52(6), pp.531-538
- DOI
- 10.1007/s11517-014-1157-7
- PMID
- 24771203
- NLM abbreviation
- Med Biol Eng Comput
- ISSN
- 0140-0118
- eISSN
- 1741-0444
- Publisher
- Springer Berlin Heidelberg; Berlin/Heidelberg
- Language
- English
- Date published
- 06/2014
- Academic Unit
- Neurology; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
- Record Identifier
- 9984013918602771
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