Controlling pallidal oscillations in real-time in Parkinson's disease using evoked interference deep brain stimulation (eiDBS): proof of concept in the human

David Escobar Sanabria; Joshua E. Aman; Valentina Zapata Amaya; Luke A. Johnson; Hafsa Farooqi; Jing Wang; Meghan E. Hill; Rémi Patriat; Kelly Sovell-Brown; Gregory F. Molnar; David Darrow; Robert A. McGovern; Scott E. Cooper; Noam Harel; Colum D. MacKinnon; Michael C. Park; Jerrold L. Vitek

doi:10.1016/j.brs.2022.07.047

NeuroscienceBrain stimulationJul 31, 2022

Peer-reviewed journal article

Controlling pallidal oscillations in real-time in Parkinson's disease using evoked interference deep brain stimulation (eiDBS): proof of concept in the human

David Escobar Sanabria iD, Joshua E. Aman iD, Valentina Zapata Amaya, Luke A. Johnson iD, Hafsa Farooqi iD, Jing Wang iD, Meghan E. Hill iD, Rémi Patriat iD, Kelly Sovell-Brown iD, Gregory F. Molnar iD, David Darrow iD, Robert A. McGovern iD, Scott E. Cooper iD, Noam Harel iD, Colum D. MacKinnon iD, Michael C. Park iD, Jerrold L. Vitek iD

Abstract

Approaches to control basal ganglia neural activity in real-time are needed to clarify the causal role of 8-35 Hz ("beta band") oscillatory dynamics in the manifestation of Parkinsons disease (PD) motor signs. Here, we show that resonant beta oscillations evoked by electrical pulse with precise amplitude and timing can be used to predictably suppress or amplify spontaneous beta band activity in the internal segment of the globus pallidus (GPi) in the human. Using this approach, referred to as closed-loop evoked interference deep brain stimulation (eiDBS), we could suppress or amplify frequencyspecific (16-22 Hz) neural activity in a PD patient. Our results highlight the utility of eiDBS to characterize the role of oscillatory dynamics in PD and other brain conditions, and to develop personalized neuromodulation systems.

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