Patient-specific network modeling to personalize neurostimulation treatment in depression

Abstract

Abstract Deep brain stimulation (DBS) and other forms of neuromodulation have been under investigation for treatment-resistant depression for more than a decade. Yet, regardless of the target, response rates have seemingly remained at about 50%. One reason for variability in response to neurostimulation is individual differences in brain function, which are further modified by the influence of depression. Speakers will discuss the use of patient-specific anatomical white matter targeting and biophysical modeling of DBS, quantifying the axonal pathways critical for response, the use of electrophysiological mapping of DBS contacts to determine the optimal stimulation site in the subgenual cingulate, and the use of the Virtual Brain developing individualized brain models to simulate patient responses to stimulation. We will discuss the pros and cons of each method and debate their relative value in larger patient groups. Speakers: Zelma Kiss, moderator: brief 5-10 min introduction to the theme. Bryan Howell, Assistant Professor, Duke University: Guiding individual tract activations in the subcallosal cingulate region using image-based biophysical modeling Allison Waters, Assistant Professor, Icahn School of Medicine, Center for Advanced Circuit Therapeutics: Stimulation evoked potentials for optimal physiological targeting of subcallosal cingulate for depression Andrea Protzner, Associate Professor, Department of Psychology, University of Calgary: Use of the Virtual Brain to target networks in treatment resistant depression