Abstract

Spinal cord stimulation (SCS) is an electric stimulation therapy for managing intractable chronic pain. However, because we do not fully understand the mechanisms of action of SCS, it is difficult to optimize stimulation efficacy and account for interpatient variability in therapeutic parameters. Therefore, the goal of this work was to use a patient-specific computational modeling approach to investigate the variability of neural activation across patients undergoing SCS as part of their clinical care. Understanding differences in neural activation may provide insight into outcome variability as well as the mechanisms of action of SCS.

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