Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson’s Disease

Abbey B. Holt, Dan Wilson, Max Shinn, Jeff Moehlis, Theoden I. Netoff

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

We propose a novel, closed-loop approach to tuning deep brain stimulation (DBS) for Parkinson’s disease (PD). The approach, termed Phasic Burst Stimulation (PhaBS), applies a burst of stimulus pulses over a range of phases predicted to disrupt pathological oscillations seen in PD. Stimulation parameters are optimized based on phase response curves (PRCs), which would be measured from each patient. This approach is tested in a computational model of PD with an emergent population oscillation. We show that the stimulus phase can be optimized using the PRC, and that PhaBS is more effective at suppressing the pathological oscillation than a single phasic stimulus pulse. PhaBS provides a closed-loop approach to DBS that can be optimized for each patient.

Original languageEnglish (US)
Article numbere1005011
JournalPLoS computational biology
Volume12
Issue number7
DOIs
StatePublished - Jul 2016

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