eprintid: 4959 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/49/59 datestamp: 2023-11-09 16:16:40 lastmod: 2023-11-09 16:16:40 status_changed: 2023-11-09 16:00:02 type: conference_item metadata_visibility: show creators_name: Hani, A.F.M. creators_name: Haq, N.U. creators_name: Kumar, D. creators_name: Wei, E.H.T. title: Brain circuit model for drug addiction ispublished: pub keywords: Neurophysiology, Chemical process; Control mechanism; Excitatory neurotransmission; Mental disorders; Monitoring system; Neural activity; Neuroplasticity; World population, Brain note: cited By 1; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042 abstract: Drug addiction is one of the chronic mental disorders that results in a compulsive behavior to seek and consume drug. Recent statistics show that about 15 of world population is addicted with some sort of drug. It has been reported that drug addiction causes structural such as change in volume of gray and/or white matter, and functional neuroplasticity such as changes in the concentration of neurotransmitter (dopamine, glutamate, GABA etc.). Functional neuroplasticity can either block or excite neurotransmission among the neurons, hence altering the functionality of neurons and disrupt the control mechanism in the reward pathway and finally leading to an uncontrolled behavior. In drug addiction, the occurrence of uncontrolled behaviors in the different regions of reward pathways can be modeled using brain circuit to map directly the neural activities. This paper discusses the biological & chemical processes and control mechanisms involved in drug addiction develops a model of brain circuit under the influence of drug. It is observed that reduced inhibitory neurotransmission of GABA and increased excitatory neurotransmission of Glutamate in different regions of brain circuit contributes to reorganization of control mechanism by impaired encoding in control regions (PFC and Cigulate Gyrus). As a result, the drug related reward is considered as reinforcement of drug taking. Furthermore, it is also argued that estimation and quantification of GABA and Glutamate may provide significant differences between normal and drug addict brain that will lead to development of drug addiction severity monitoring system. © 2014 IEEE. date: 2014 publisher: IEEE Computer Society official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335954&doi=10.1109%2fICIAS.2014.6869524&partnerID=40&md5=c8a7fdb5755eaf0f3a13bad6f5bd338d id_number: 10.1109/ICIAS.2014.6869524 full_text_status: none publication: 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings place_of_pub: Kuala Lumpur refereed: TRUE isbn: 9781479946549 citation: Hani, A.F.M. and Haq, N.U. and Kumar, D. and Wei, E.H.T. (2014) Brain circuit model for drug addiction. In: UNSPECIFIED.