III-78. MAP inference in linear models with sparse connectivity using sister mitral cells

with dense-array scalp EEG (dEEG), we identify specific oscillatory bands within specific brain network nodes directly modulated by precise SCCwm-DBS [3]. We then develop a phase-oscillator network model for three likely DBS mechanisms in order to hypothesis-test the patient data. Two results are presented here: a network-level oscillatory signal indicating adequate stimulation of critical SCCwm tracts, and a data-driven model of SCCwmDBS mechanism. This investigation is a critical first step in understanding how DBS of SCCwm engages and modulates brain network activity, and how that engagement induces TRD remission. The results presented here will directly improve clinical implementation of SCCwm-DBS to optimize anatomical and functional engagement of brain networks associated with depression, enable further scientific studies into the link between brain network electrophysiology and complex higher-level behavioral dynamics, and inform engineering of closed-loop DBS devices able to automatically and rationally program stimulation settings to optimally modulate network-level brain states.