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Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model

Bhattacharya, Basab, Coyle, DH, Maguire, Liam and Stewart, Jill (2012) Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. In: International Conference on Artificial Neural Networks (ICANN). Springer-Verlag Berlin Heidelberg 2012. 8 pp. [Conference contribution]

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Abstract

In this work, we introduce the kinetic framework for modelling synaptic transmission in an existing neural mass model of the thalamocortical circuitry to study Electroencephalogram (EEG) slowing within the alpha frequency band (8–13 Hz), a hallmark of Alzheimer’s disease (AD). Ligand-gated excitatory and inhibitory synapses mediated by AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) and GABAA (gamma-amino-butyric acid) receptors respectively are modelled. Our results show that the concentration of the GABA neurotransmitteracts as a bifurcation parameter, causing the model to switch from a limit cycle mode to a steady state. Further, the retino-geniculate pathway connectivity plays a significant role in modulating the power within the alpha band, thus conforming to research proposing ocular biomarkersin AD. Overall, kinetic modelling of synaptic transmission in neural mass models has enabled a more detailed investigation into the neural correlates underlying abnormal EEG in AD.

Item Type:Conference contribution (Paper)
Keywords:neural modelling, alzheimer's disease, alpha rhythm, synaptic function
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:23427
Deposited By: Prof Damien Coyle
Deposited On:24 Sep 2012 14:58
Last Modified:09 Dec 2015 11:07

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