DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-5 ( May, 2019 ) | |||||||||
Paper Title |
Modelling and Simulating different Bands of EEG signals with the Virtual Brain | |||||||||
Author Name |
Auhood Al-Hossenat, Peng Wen, Yan Li | |||||||||
Affilition |
School of Agricultural, Computational and Environmental Sciences School of Mechanical and Electrical Engineering, Faculty of Health, Engineering and science, University of Southern Queensland, Toowoomba 4350, QLD, Australia | |||||||||
Pages |
66-70 | |||||||||
Abstract |
Electroencephalogram (EEG) have played an important role for studying the neurocognitive function such as delta and theta oscillations. In this study, we focused on modelling theta and delta two types of EEG signals by developing large-scale brain network model (LSBNM), consisting of eight brain regions areas (network nodes) in the left hemisphere. Each network node is simulated by a local neural model of Jansen and Rit (JR). The coupling of network nodes is constrained by the structural connectome for constructing the structural layout of the brain network model .The goal of this model was to simulate different rhythms of EEG ranging from delta to theta depending on the variations of parameters of JR model .The modelling and simulating are conducted with The Virtual Brain (TVB), a novel platform for modelling brain dynamics. Our result shew that the model is enable to simulate multi-bands of EEG: delta –range frequency of (2-3 Hz) and theta at frequency of 5Hz. This study can serve the clinical doctors and researchers to understand and study slow oscillation activity of EEG. Keywords - Large-Scale Brain Network Modelling, Neural Masses Model of JANSEN and Rit (JR-NMM), Structural Connectome, Brain Rhythms, The Virtual Brain Platform (TVB) | |||||||||
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