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Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model

Bhattacharya, Basab, Coyle, Damien and Maguire, LP (2012) Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. Journal of Universal Computer Science, 18 (13). pp. 1888-1904. [Journal article]

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URL: http://www.jucs.org/jucs_18_13/assessing_alpha_band_event


This paper describes a study of the effects of variation of synaptic connectivity in a thalamo-cortical circuitry using a neural mass model. The oscillatory behaviour of the model output is assessed within the alpha frequency band. The model presented here is a modification of an existing model involving the introduction of biologically plausible synaptic connectivities as well as synaptic structure. Our goal is to study altered event related desynchronisation/synchronisation (ERD/ERS) patterns within the alpha band in Alzheimers disease as observed in experimental studies. ERD is an amplitude attenuation of certain EEG rhythms when an event is initiated or while a certain event is taking place in the brain. ERS is an amplitude enhancement of a certain EEG rhythm when cortical areas are not specifically engaged in a given mode of activity at a certain instant of time. EEG desynchronisation normally blocks alpha rhythms in the EEG due to sensory processing or behaviour. The results show that a decrease in synaptic connectivity induces a time lag in both ERD and ERS peaks in the model output. Furthermore, a deficiency induced in the inhibitory cholinergic pathway results in a distinct effect on time to peak in the ERD/ERS response. These observations are consistent with experimental findings in AD. Variation of the level of interconnectivity has a pronounced effect on the ERS behaviour of the model whilethe excitatory connectivity in the retino-geniculate pathway during the resting state is more influential on the ERD behaviour.

Item Type:Journal article
Keywords:Alpha rhythm, Event-related-(de)synchronisation, Alzheimer’s disease, thalamo-cortical model
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:23752
Deposited By: Prof Damien Coyle
Deposited On:29 Oct 2012 11:19
Last Modified:17 Oct 2017 16:05

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