scholarly journals Improved conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network

2012 ◽  
Vol 13 (S1) ◽  
Author(s):  
Alex Pavlides ◽  
S John Hogan ◽  
Rafal Bogacz
2008 ◽  
Vol 28 (52) ◽  
pp. 14245-14258 ◽  
Author(s):  
N. Mallet ◽  
A. Pogosyan ◽  
L. F. Marton ◽  
J. P. Bolam ◽  
P. Brown ◽  
...  

2017 ◽  
Author(s):  
Amin Mirzaei ◽  
Arvind Kumar ◽  
Daniel Leventhal ◽  
Nicolas Mallet ◽  
Ad Aertsen ◽  
...  

AbstractBrief epochs of beta oscillations have been implicated in sensorimotor control in the basal ganglia of task-performing healthy animals. However, which neural processes underlie their generation and how they are affected by sensorimotor processing remains unclear. To determine the mechanisms underlying transient beta oscillations in the local field potential (LFP), we combined computational modeling of the subthalamo-pallidal network for the generation of beta oscillations with realistic stimulation patterns derived from single unit data. The single unit data were recorded from different basal ganglia subregions in rats performing a cued choice task. In the recordings we found distinct firing patterns in the striatum, globus pallidus and subthalamic nucleus related to sensory and motor events during the behavioral task. Using these firing patterns to generate realistic inputs to our network model lead to transient beta oscillations with the same time course as the rat LFP data. In addition, our model can account for further non-intuitive aspects of beta modulation, including beta phase resets following sensory cues and correlations with reaction time. Overall, our model can explain how the combination of temporally regulated sensory responses of the subthalamic nucleus, ramping activity of the subthalamic nucleus, and movement-related activity of the globus pallidus, leads to transient beta oscillations during behavior.Significance StatementTransient beta oscillations emerge in the normal functioning cortico-basal ganglia loop during behavior. In this work we employ a unique approach connecting a computational model closely with experimental data. In this way we achieve a simulation environment for our model that mimics natural input patterns in awake behaving animals. Using this approach we demonstrate that a computational model for beta oscillations in Parkinson’s disease can also account for complex patterns of transient beta oscillations in healthy animals. Therefore, we propose that transient beta oscillations in healthy animals share the same mechanism with pathological beta oscillations in Parkinson’s disease. This important result connects functional and pathological roles of beta oscillations in the basal ganglia.


2020 ◽  
Vol 34 (13) ◽  
pp. 2050134 ◽  
Author(s):  
Jing-Yi Zhao ◽  
Quan-Sheng Liu ◽  
Yuan-Hong Bi ◽  
Zhuo-Qin Yang

Analyzing the conditions for generating beta oscillation in basal ganglia plays a key role in understanding the mechanism of Parkinson’s disease (PD). In this paper, we consider a Cortex–STN–GPe model, which consists of the external segment of globus pallidus (GPe), subthalamic nucleus (STN) and cortex including excitatory and inhibitory neurons. We obtain the stability boundary conditions for the model through theoretical analyses, and discuss the influence of two inputs to cortex and GPe on oscillations by numerical simulation. Our results reveal that the model can oscillate for large connection weight between STN and GPe, much larger input to the cortex, and most input values to the GPe. Furthermore, the effects of parameters in the cortical circuit on the amplitude and frequency of the beta oscillation are analyzed. We show that larger delay and larger firing rate of excitatory and inhibitory neurons in the cortex make the model oscillate easily. We hope that our results will be helpful for further understanding the mechanisms of beta oscillations in the treatment of Parkinson’s disease and may apply to some studies of neural oscillations.


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