Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson's Disease During Deep Brain Stimulation

IEEE Transactions on Bio-medical Engineering
Clare DavidsonMadeleine Lowery

Abstract

Parkinson's disease is a progressive, neurodegenerative disorder, characterized by hallmark motor symptoms. It is associated with pathological, oscillatory neural activity in the basal ganglia. Deep brain stimulation (DBS) is often successfully used to treat medically refractive Parkinson's disease. However, the selection of stimulation parameters is based on qualitative assessment of the patient, which can result in a lengthy tuning period and a suboptimal choice of parameters. This study explores fourth-order, control theory-based models of oscillatory activity in the basal ganglia. Describing function analysis is applied to examine possible mechanisms for the generation of oscillations in interacting nuclei and to investigate the suppression of oscillations with high-frequency stimulation. The theoretical results for the suppression of the oscillatory activity obtained using both the fourth-order model, and a previously described second-order model, are optimized to fit clinically recorded local field potential data obtained from Parkinsonian patients with implanted DBS. Close agreement between the power of oscillations recorded for a range of stimulation amplitudes is observed ( R(2)=0.69-0.99 ). The results suggest that th...Continue Reading

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Citations

Aug 17, 2017·PloS One·Osvaldo Matías VelardeDamián Dellavale
Aug 13, 2017·Journal of Neuroengineering and Rehabilitation·Mahboubeh Parastarfeizabadi, Abbas Z Kouzani
Mar 27, 2020·Frontiers in Human Neuroscience·Nada YousifRoman Borisyuk
Apr 4, 2021·Sensors·Roberto Rodriguez-ZurruneroMadeleine M Lowery

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