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
Link To Document :
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