A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s disease

sen Bhattacharya, Basabdatta and Coyle, Damien and Maguire, Liam (2010) A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s disease. In: BICS 2010, 14-16 July 2010, Madrid, Spain.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Attenuation of power in the alpha band (8–13 Hz) of Electroencephalograhy (EEG) is identified as a hallmark symptom of Alzheimer’s Disease (AD).
There is general agreement in existing literature that the thalamocortical circuitry
play a key role in generation of alpha rhythms. Our research is to gain a better understanding of the cause of alpha rhythm slowing in the thalamocortical circuitry,
which in turn might help in early detection of Alzheimer’s Disease. We adopt a
computational approach and base our work on a classic computational model of the
thalamocortical circuitry associated with the generation of alpha rhythms proposed
by Lopes Da Silva. In this work, we use the model to do a preliminary study on the
power spectrum of the alpha rhythms by varying model parameters corresponding to
inhibitory and excitatory synaptic activity. We observe that an increased inhibitory
synaptic activity in the network leads to a decrease in the power of the upper alpha frequency band (11–13 Hz) and an increase in that of the lower alpha frequency
band (8–10 Hz). Thus we observe an overall slowing of alpha rhythm corresponding
to an increase in the inhibitory synaptic activity in the thalamocortical circuitry

Keywords:alpha rhythm, Alzheimer's Disease
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Engineering
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ID Code:10013
Deposited On:19 Jun 2013 21:41

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