Simulation α of EEG using brain network model
Paper
Paper/Presentation Title | Simulation α of EEG using brain network model |
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Presentation Type | Paper |
Authors | Al-Hossenat, Auhood (Author), Wen, Paul (Author) and Li, Yan (Author) |
Editors | Al-Mahaidi, Riadh, Al-Mosawe, Alaa and Al-Younis, Mohamed |
Journal or Proceedings Title | Proceedings of the First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) |
Number of Pages | 10 |
Year | 2017 |
Place of Publication | Melbourne, Australia |
ISBN | 9781925761016 |
Web Address (URL) of Paper | https://www.researchgate.net/publication/327335579_Simulation_a_of_EEG_using_brain_network_model |
Conference/Event | First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) |
Event Details | First MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) Event Date 05 to end of 06 Dec 2017 Event Location Melbourne, Australia |
Abstract | In this paper, we developed a large-scale brain network model comprising of four cerebral areas in the left hemisphere, and each area is modelled as an oscillator Jansen and Rit (JR) model. Our model is based on the structural connectivity of human connectome (SC) which was a hybrid from CoCoMac neuroinformatics database and diffusion spectrum imaging (DSI.) This brain network model was designed and implemented on the neuroinformatics platform using The Virtual Brain (TVB v1.5.3). The results demonstrated that incorporating the large-scale connectivity of brain regions and neural mass of JR model can generate signals similar to the α oscillation in frequency range of (7-12HZ) of EEG. |
Keywords | brain network model (BNM), neural masses model, structural connectivity, connectome, computational modelling, The Virtual Brain package |
ANZSRC Field of Research 2020 | 460207. Modelling and simulation |
Public Notes | Copyright © 2017 Swinburne University of Technology |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
University of Thi-Qar, Iraq | |
School of Mechanical and Electrical Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q557v/simulation-of-eeg-using-brain-network-model
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