Kinetic modelling of synaptic functions in the alpha rhythm neural mass model

Journal article


Basabdatta, Sen Bhattacharya, Coyle, Damien H, Maguire, Liam P and Stewart, Jill 2012. Kinetic modelling of synaptic functions in the alpha rhythm neural mass model. Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I.
AuthorsBasabdatta, Sen Bhattacharya, Coyle, Damien H, Maguire, Liam P and Stewart, Jill
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 neurotransmitter acts 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 biomarkers in 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.

KeywordsKinetic Modelling, Alzheimer, synaptic transmission. neural mass models
Year2012
JournalProceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
PublisherSpringer-Verlag Berlin Heidelberg
Web address (URL)http://hdl.handle.net/10545/623620
http://creativecommons.org/licenses/by-nd/3.0/us/
hdl:10545/623620
Publication dates2012
Publication process dates
Deposited19 Mar 2019, 13:49
Accepted2012
ISBN978-3-642-33269-2
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Attribution-NoDerivs 3.0 United States

ContributorsUniversity of Lincoln
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