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Comparison of spinal cord stimulation profiles from intra- and extradural electrode arrangements by finite element modelling
- Source :
- Medical & Biological Engineering & Computing. 52:531-538
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
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.
- Subjects :
- Spinal Cord Stimulation
Materials science
Finite Element Analysis
Models, Neurological
Electric Conductivity
Biomedical Engineering
Spinal cord surface
Stimulation
Anatomy
Spinal cord stimulation
Spinal cord
Finite element method
Computer Science Applications
Cerebrospinal fluid
medicine.anatomical_structure
Spinal Cord
Electrode
medicine
Humans
Equivalent circuit
Computer Simulation
Electrodes
Biomedical engineering
Subjects
Details
- ISSN :
- 17410444 and 01400118
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Medical & Biological Engineering & Computing
- Accession number :
- edsair.doi.dedup.....24211ba2d1181fbdc6fd268b2a55ef39