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Changes in Neuronal Entropy in a Network Model of the Cortico-Basal Ganglia during Deep Brain Stimulation
Author(s)
Date Issued
2019-07-27
Date Available
2020-02-13T12:07:28Z
Abstract
Neuronal entropy changes are observed in the basal ganglia circuit in Parkinson’s disease (PD). These changes are observed in both single unit recordings from globus pallidus (GP) neurons and in local field potential (LFP) recordings from the subthalamic nucleus (STN). These changes are hypothesized as representing changes in the information coding capacity of the network, with PD resulting in a reduction in the coding capacity of the basal ganglia network. Entropy changes in the LFP and in single unit recordings are investigated in a detailed physiological model of the cortico-basal ganglia network during STN deep brain stimulation (DBS). The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and simulation of the LFP detected at a differential recording electrode. LFP sample entropy and beta-band oscillation power were found to be altered following the application of DBS. The ring pattern entropy of GP neurons in the network were observed to decrease during high frequency stimulation and increase during low frequency stimulation. Simulation results were consistent with experimentally reported changes in neuronal entropy during DBS.
Sponsorship
European Commission Horizon 2020
European Research Council
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 IEEE
Language
English
Status of Item
Peer reviewed
Conference Details
The 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23-27 July 2019
ISBN
978-1-5386-1311-5
ISSN
1558-4615
This item is made available under a Creative Commons License
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Fleming et al _IEEE_preprint.pdf
Size
336.68 KB
Format
Adobe PDF
Checksum (MD5)
c6814630d60f685f63e6524cd1236086
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