We build multiscale computational models of neural activation in Deep Brain Stimulation (DBS) therapy. DBS is a clinically used and widely effective treatment for the symptoms of Parkinson's disease, essential tremor, and other neurological disorders. However, which neurons and neural regions are activated by DBS is not presently understood. With our biophysical computational models -- scaling from individual neurons to the entire brain -- we aim to understand how electric fields modulate neural activity, and to develop precise constraints that clinicians could use to optimally target neural structures.
Anderson DN, Dorval AD, Rolston JD, Pulst SM, Anderson CJ (2021). “Computational investigation of the impact of deep brain stimulation contact size and shape on neural selectivity.” J Neural Eng, 18(5):056004, PMID:33721858.
Anderson CJ, Anderson DN, Pulst SM, Butson CR, Dorval AD (2020). “Neural selectivity, efficiency, and dose equivalence in deep brain stimulation through pulse width tuning and segmented electrodes.” Brain Stimulation, 13(4), PMC:7308191.
Anderson DN, Duffley G, Vorwerk J, Dorval AD, Butson CR (2019). “Anodic stimulation misunderstood: preferential activation of fiber orientations with anodic waveforms in deep brain stimulation.” J Neural Eng 16(1):016026, PMC:6889961.
Duffley G, Anderson DN, Vorwerk J, Dorval AD, Butson CR (2019). “Evaluation of methodologies for computing the deep brain stimulation volume of tissue activated.” J Neural Eng, 16(6):066024, PMC:1834769.
