DocumentCode
2492454
Title
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model
Author
Bhattacharya, Basabdatta Sen ; Coyle, Damien ; Maguire, Liam
Author_Institution
Intell. Syst. Res. Centre, Univ. of Ulster, Londonderry, UK
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
7
Abstract
This paper describes a study of the effects of variations in the thalamocortical synaptic activity on alpha rhythms (8 - 13 Hz) using a computational model. The study aims to investigate alpha rhythm slowing associated with Alzheimer´s Disease. It is observed that for a certain range of values of the input, an increase in inhibitory activity results in an increase of the lower alpha band (8 - 10 Hz) power and a corresponding decrease in the upper alpha band (11 - 13 Hz) power, thus indicating a slowing of the alpha rhythms. On the other hand, an increase in the excitatory synaptic activity results in an overall shift of the peak power in the output signal from the lower alpha band to the upper alpha band. However, for values of input outside this range, the output signal shows a bifurcation in behaviour and enters a limit cycle mode. In this state, the output power lies dominantly in the lower alpha band. Variation in the inhibitory or excitatory synaptic parameters has little or no effect on the frequency band of the output power.
Keywords
bifurcation; bioelectric potentials; brain models; diseases; neural nets; Alzheimer disease; alpha rhythm slowing; bifurcation; computational model; excitatory synaptic activity; excitatory synaptic parameters; frequency 8 Hz to 13 Hz; inhibitory synaptic parameters; thalamocortical circuitry; thalamocortical synaptic activity;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596647
Filename
5596647
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