A Hyperbolic Model of Neuronal Spiking Patterns in Parkinson’s Disease
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Authors
Daneshzand, Mohammad
Faezipour, Miad
Barkana, Buket D.
Issue Date
2015-03-27
Type
Presentation
Language
en
Keywords
Computational modeling , Parkinson’s disease , Neuronal spiking pattern , Subthalamic nucleus (STN)
Alternative Title
Abstract
To investigate how different types of neurons in brain can produce well known spiking patterns, a new computationally efficient model is proposed in this poster. The model can demonstrate various neuronal behavior observed in vivo such as abnormal pattern of subthalamic nucleus (STN) in Parkinson’s disease. The irregular and arrhythmic behavior of STN firing pattern under normal conditions can easily be transformed to those caused by Parkinson’s disease through simple parameter modifications. This model can explicitly show the change of neuronal activity patterns in Parkinson’s disease, which may eventually lead to effective bio-chip designs that can be used to assist in the control, treatment, and ultimately, the cure of the disease.
Description
This poster was also presented on 2015-04-30 at Northeast Section American Society for Engineering Education 2015 in Boston, MA.