Simulation of cortico-basal ganglia oscillations and their suppression by closed loop deep brain stimulation
Autor: | Peadar F. Grant, Madeleine M. Lowery |
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Rok vydání: | 2012 |
Předmět: |
Deep brain stimulation
medicine.medical_treatment Deep Brain Stimulation Biomedical Engineering Stimulation Local field potential Electroencephalography Basal Ganglia Basal ganglia Internal Medicine medicine Humans Computer Simulation Evoked Potentials Physics Cerebral Cortex Neurons Quantitative Biology::Neurons and Cognition medicine.diagnostic_test General Neuroscience Computational model Rehabilitation Computer simulation Models Theoretical Axons Closed-loop deep brain stimulation Subthalamic nucleus Electrophysiology medicine.anatomical_structure nervous system Cerebral cortex Brain stimulation Neural Networks Computer Nerve Net Artifacts Beta Rhythm Neuroscience Algorithms Biomarkers |
Zdroj: | IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 21(4) |
ISSN: | 1558-0210 |
Popis: | A new model of deep brain stimulation 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 Deep Brain Stimulation 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 highfrequency DBS based on electrophysiological biomarkers. Published as Early Access Article. IEEE require us to update the publication info once it's published (DG 03/10/2012) |
Databáze: | OpenAIRE |
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