Origins and suppression of oscillations in a computational model of Parkinson's disease

DOI10.1007/S10827-014-0523-7zbMath1409.92041OpenAlexW1975292965WikidataQ34476239 ScholiaQ34476239MaRDI QIDQ1732600

Theoden I. Netoff, Abbey B. Holt

Publication date: 25 March 2019

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4225169

zbMATH Keywords

oscillationscomputational modelParkinson's diseasebasal gangliadeep brain stimulationparameter tuningphase-response curves

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (8)

The oscillatory boundary conditions of different frequency bands in Parkinson's disease ⋮ Hopf bifurcation analysis for Parkinson oscillation with heterogeneous delays: a theoretical derivation and simulation analysis ⋮ Optimal time delays in a class of reaction-diffusion equations ⋮ Leveraging deep learning to control neural oscillators ⋮ Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression ⋮ Exponential stability for the Schlögl system by Pyragas feedback ⋮ Augmented Phase Reduction of (Not So) Weakly Perturbed Coupled Oscillators ⋮ Optimal open-loop desynchronization of neural oscillator populations

Uses Software

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Cites Work

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• Delay-induced oscillations in Wilson and Cowan's model: an analysis of the subthalamo-pallidal feedback loop in healthy and parkinsonian subjects
• Mean-field modeling of the basal ganglia-thalamocortical system. I: Firing rates in healthy and Parkinsonian states
• Mean-field modeling of the basal ganglia-thalamocortical system. II: Dynamics of Parkinsonian oscillations
• A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations

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