Related Experiment Video
Updated: Apr 18, 2026

Dorsal Column Steerability with Dual Parallel Leads using Dedicated Power Sources: A Computational Model
Published on: February 10, 2011
Modeling dermatome selectivity of single-and multiple-current source spinal cord stimulation systems
Multiple current source (MCS) spinal cord stimulation (SCS) systems showed minimal differences in dermatomal zone coverage compared to single current source (1 CS) systems. This suggests MCS may not offer significant therapeutic benefits over 1 CS for SCS.
Area of Science:
- Biomedical Engineering
- Computational Neuroscience
- Neurosurgery
Background:
- Computational modeling predicted multiple current source (MCS) spinal cord stimulation (SCS) could increase dorsal column (DC) stimulation points over single current source (1 CS).
- The clinical relevance of this prediction for dermatomal selectivity remains unestablished.
Purpose of the Study:
- To compare the dermatomal zone selectivity of MCS and 1 CS systems in SCS.
- To evaluate the potential incremental therapeutic benefit of MCS over 1 CS.
Main Methods:
- A finite element method (FEM) model of the spinal cord with a 2 × 8 paddle electrode array was constructed.
- FEM simulations calculated DC field potentials for both MCS and 1 CS configurations.
- Activation regions were determined using a biophysical nerve fiber model and mapped to dermatomal zones.
Main Results:
- Marginal differences were observed in the activated dermatomal zones between 1 CS and MCS systems.
- The study found limited variation in coverage despite using different current source configurations.
Conclusions:
- MCS SCS systems demonstrated no substantial improvement in dermatomal zone selectivity compared to 1 CS systems.
- The findings question the previously suggested incremental therapeutic benefit of MCS in SCS applications.
More Related Videos
11:07In Vivo Intracellular Recording of Type-Identified Rat Spinal Motoneurons During Trans-Spinal Direct Current Stimulation
Published on: May 11, 2020
14:14Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018