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

Sen Bhattacharya, Basabdatta, Coyle, Damien, 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), 11-14 September 2012, Lausanne, Switzerland.

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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.

Additional Information:Lecture Notes in Computer Science Volume 7552
Keywords:neurotransmitters, kinetic modelling, neural mass models, alpha rhythm
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Engineering
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ID Code:9457
Deposited On:14 May 2013 15:35

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