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Poster Session A: Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

High Entropy Deep Brain Stimulation for Treatment Resistant Depression

Lily Chamakura¹, Denise Oswalt, Eleonora Bartoli, Joshua Adkinson, Sameer Sheth¹, Xaq Pitkow¹, Kelly Bijanki; ¹Baylor College of Medicine

Presenter: Lily Chamakura

A key challenge for reliably treating psychiatric disorders such as depression through deep brain stimulation (DBS) is characterizing the individual brain responses to electrical stimulation over the target stimulation space. Here, we propose the high-entropy stimulation paradigm that can sample from a wide array of spatiotemporal patterns, and explore a much larger and more natural portion of the stimulation space than conventional piecewise constant pulse trains. We used the high entropy stimulation paradigm to stimulate a patient with treatment-resistant depression who had implanted DBS electrodes, using a custom-built GUI, and the patient's ongoing brain activity was recorded using intracranial stereo encephalogram (sEEG). We show that the stimulation modulates the responses along a low-dimensional manifold spanned by the evoked responses in pre-frontal brain regions. Overall, by generating richer and more natural patterns of electrical stimulation, the proposed high entropy stimuli are useful to efficiently probe the influence of external stimulation on brain states.

Topic Area: Methods & Computational Tools

Extended Abstract: Full Text PDF