Simulation of cortico-basal ganglia oscillations and their suppression by closed loop deep brain stimulation.
A new model of deep brain stimulation (DBS) is presented that integrates volume conduction effects with a neural model of pathological beta-band oscillations in the cortico-basal ganglia network. The model is used to test the clinical hypothesis that closed-loop control of the amplitude of DBS may be possible, based on the average rectified value of beta-band oscillations in the local field potential. Simulation of closed-loop high-frequency DBS was shown to yield energy savings, with the magnitude of the energy saved dependent on the strength of coupling between the subthalamic nucleus and the remainder of the cortico-basal ganglia network. When closed-loop DBS was applied to a strongly coupled cortico-basal ganglia network, the stimulation energy delivered over a 480 s period was reduced by up to 42%. Greater energy reductions were observed for weakly coupled networks, as the stimulation amplitude reduced to zero once the initial desynchronization had occurred. The results provide support for the application of closed-loop high-frequency DBS based on electrophysiological biomarkers.
School of Electrical, Electronic and Communications Engineering, University College Dublin, Dublin, Ireland. peadargrant@gmail.com
Peadar F
PF
Grant
Madeleine M
MM
Lowery
D000465:Algorithms; D016477:Artifacts; D001369:Axons / Q000502:physiology; D001479:Basal Ganglia / Q000502:physiology*; D001611:Beta Rhythm / Q000502:physiology; D015415:Biomarkers; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D046690:Deep Brain Stimulation / Q000379:methods*; D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D008962:Models, Theoretical; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology
D015415:Biomarkers