Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment

Capecci, Elisa and Kasabov, Nikola and Wang, Grace Y. ORCID: https://orcid.org/0000-0003-2063-031X (2015) Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment. Neural Networks, 68. pp. 62-77. ISSN 0893-6080


Abstract

The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and more specifically on the analysis of the connectivity of a NeuCube model trained with electroencephalography (EEG) data. The case study data used to illustrate this method is EEG data collected from three groups-subjects with opiate addiction, patients undertaking methadone maintenance treatment, and non-drug users/healthy control group. The proposed method classifies more accurately the EEG data than traditional statistical and artificial intelligence (AI) methods and can be used to predict response to treatment and dose-related drug effect. But more importantly, the method can be used to compare functional brain activities of different subjects and the changes of these activities as a result of treatment, which is a step towards a better understanding of both the EEG data and the brain processes that generated it. The method can also be used for a wide range of applications, such as a better understanding of disease progression or aging.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 16 May 2022 01:26
Last Modified: 16 May 2022 01:26
Uncontrolled Keywords: EEG; Methadone maintenance; NeuCube; Opiates; Response to treatment; Spiking neural networks
Fields of Research (2020): 52 PSYCHOLOGY > 5202 Biological psychology > 520205 Psychopharmacology
Socio-Economic Objectives (2020): 20 HEALTH > 2001 Clinical health > 200104 Prevention of human diseases and conditions
Identification Number or DOI: https://doi.org/10.1016/j.neunet.2015.03.009
URI: http://eprints.usq.edu.au/id/eprint/48419

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