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Basic and Clinical Neuroscience، جلد ۱۴، شماره ۴، صفحات ۴۹۱-۵۰۰
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عنوان انگلیسی Astrocytic-based Controller Shifts Epileptic Activity to the Chaotic State
چکیده انگلیسی مقاله Introduction: Investigating an effective controller to shift hippocampal epileptic periodicity to normal chaotic behavior will be new hope for epilepsy treatment. Astrocytes nourish and protect neurons and maintain synaptic transmission and network activity. Therefore, this study explored the ameliorating effect of the astrocyte computational model on epileptic periodicity.  Methods: Modified Morris-Lecar equations were used to model the hippocampal CA3 network. Network inhibitory parameters were employed to generate oscillation-induced epileptiform periodicity. The astrocyte controller was based on a functional dynamic mathematical model of brain astrocytic cells. Results: Results demonstrated that the synchronization of two neural networks shifted the brain's chaotic state to periodicity. Applying an astrocytic controller to the synchronized networks returned the system to the desynchronized chaotic state. Conclusion: It is concluded that astrocytes are probably a good model for controlling epileptic periodicity. However, more research is needed to delineate this effect. 
کلیدواژه‌های انگلیسی مقاله Epilepsy, Chaos, Astrocyte, Computational model, Desynchorony
نویسندگان مقاله | Mojde Nahtani
Department of Computer and Electrical Science, Faculty of Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran.


| Mehdi Siahi
Department of Computer and Electrical Science, Faculty of Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran.


| Javad Razjouyan
Institute for Clinical & Translational Research (ICTR), Baylor College of Medicine, Houston, The United States of America.
نشانی اینترنتی http://bcn.iums.ac.ir/browse.php?a_code=A-10-2877-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Computational Neuroscience
نوع مقاله منتشر شده Original
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