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

Basab Bhattacharya, DH Coyle, Liam Maguire, Jill Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)
122 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages8
Publication statusPublished (in print/issue) - 2012
EventInternational Conference on Artificial Neural Networks (ICANN) -
Duration: 1 Jan 2012 → …


ConferenceInternational Conference on Artificial Neural Networks (ICANN)
Period1/01/12 → …


  • neural modelling
  • alzheimer's disease
  • alpha rhythm
  • synaptic function


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