A review of computational modeling and deep brain stimulation: applications to Parkinson's disease

Y Yu, X Wang, Q Wang, Q Wang - Applied mathematics and mechanics, 2020 - Springer
Biophysical computational models are complementary to experiments and theories,
providing powerful tools for the study of neurological diseases. The focus of this review is the …

Insights into Parkinson's disease from computational models of the basal ganglia

MD Humphries, JA Obeso, JK Dreyer - Journal of Neurology …, 2018 - jnnp.bmj.com
Movement disorders arise from the complex interplay of multiple changes to neural circuits.
Successful treatments for these disorders could interact with these complex changes in …

Computational models describing possible mechanisms for generation of excessive beta oscillations in Parkinson's disease

A Pavlides, SJ Hogan, R Bogacz - PLoS computational biology, 2015 - journals.plos.org
In Parkinson's disease, an increase in beta oscillations within the basal ganglia nuclei has
been shown to be associated with difficulty in movement initiation. An important role in the …

The role of inhibition in generating and controlling Parkinson's disease oscillations in the basal ganglia

A Kumar, S Cardanobile, S Rotter… - Frontiers in systems …, 2011 - frontiersin.org
Movement disorders in Parkinson's disease (PD) are commonly associated with slow
oscillations and increased synchrony of neuronal activity in the basal ganglia. The neural …

Mean-field modeling of the basal ganglia-thalamocortical system. I: Firing rates in healthy and parkinsonian states

SJ van Albada, PA Robinson - Journal of theoretical biology, 2009 - Elsevier
Parkinsonism leads to various electrophysiological changes in the basal ganglia-
thalamocortical system (BGTCS), often including elevated discharge rates of the …

Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson's disease

LL Grado, MD Johnson, TI Netoff - PLoS computational biology, 2018 - journals.plos.org
In this paper, we present a novel Bayesian adaptive dual controller (ADC) for autonomously
programming deep brain stimulation devices. We evaluated the Bayesian ADC's …

Subthalamic nucleus activity dynamics and limb movement prediction in Parkinson's disease

S Khawaldeh, G Tinkhauser, SA Shah, K Peterman… - Brain, 2020 - academic.oup.com
Whilst exaggerated bursts of beta frequency band oscillatory synchronization in the
subthalamic nucleus have been associated with motor impairment in Parkinson's disease, a …

Bidirectional control of absence seizures by the basal ganglia: a computational evidence

M Chen, D Guo, T Wang, W **g, Y **a… - PLoS Computational …, 2014 - journals.plos.org
Absence epilepsy is believed to be associated with the abnormal interactions between the
cerebral cortex and thalamus. Besides the direct coupling, anatomical evidence indicates …

[HTML][HTML] Generic dynamic causal modelling: An illustrative application to Parkinson's disease

BCM van Wijk, H Cagnan, V Litvak, AA Kühn… - NeuroImage, 2018 - Elsevier
We present a technical development in the dynamic causal modelling of
electrophysiological responses that combines qualitatively different neural mass models …

Improved conditions for the generation of beta oscillations in the subthalamic nucleus–globus pallidus network

A Pavlides, S John Hogan… - European Journal of …, 2012 - Wiley Online Library
A key pathology in the development of Parkinson's disease is the occurrence of persistent
beta oscillations, which are correlated with difficulty in movement initiation. We investigated …