Comparing Current Steering Technologies for Directional Deep Brain Stimulation Using a Computational Model That Incorporates Heterogeneous Tissue Properties

Abstract

Objective: A computational model that accounts for heterogeneous tissue properties was used to compare multiple independent current control (MICC), multi-stim set (MSS), and concurrent activation (co-activation) current steering technologies utilized in deep brain stimulation (DBS) on volume of tissue activated (VTA) and power consumption. Methods: A computational model was implemented in Sim4Life v4.0 with the multimodal image-based detailed anatomical (MIDA) model, which accounts for heterogeneous tissue properties. A segmented DBS lead placed in the subthalamic nucleus (STN). Three milliamperes of current (with a 90 μs pseudo-biphasic waveform) was distributed between two electrodes with various current splits. The laterality, directional accuracy, volume, and shape of the VTAs using MICC, MSS and co-activation, and their power consumption were computed and compared. Results: MICC, MSS, and coactivation resulted in less laterality of steering than single-segment activation. Both MICC and MSS show directional inaccuracy (more pronounced with MSS) during radial current steering. Co-activation showed greater directional accuracy than MICC and MSS at centerline between the two activated electrodes. MSS VTA volume was smaller and more compact with less current spread outside the active electrode plane than MICC VTA. There was no consistent pattern of power drain between MSS and MICC, but electrode co-activation always used less power than either fractionating paradigm. Conclusion: While current fractionalization technologies can achieve current steering between two segmented electrodes, this study shows that there are important limitations in accuracy and focus of tissue activation when tissue heterogeneity is accounted for.