Basic and Clinical Neuroscience Journal
مجله علوم اعصاب پایه و بالینی
BCN
Medical Sciences
http://bcn.iums.ac.ir
137
journal137
2008-126X
2228-7442
10.32598/bcn
en
jalali
1395
1
1
gregorian
2016
4
1
7
2
online
1
fulltext
en
A Grey Box Neural Network Model of Basal Ganglia for Gait Signal of Patients with Huntington Disease
Computational Neuroscience
Computational Neuroscience
Original
Original
<p dir="ltr" style="text-align: justify;"><strong>Introduction:</strong> Huntington disease (HD) is a progressive neurodegenerative disease which affects movement control system of the brain. HD symptoms lead to patient’s gait change and influence stride time intervals. In this study, we present a grey box mathematical model to simulate HDdisorders. This model contains main physiological findings about BG.<br>
<strong>Methods:</strong> We used artificial neural networks (ANN) and predetermined data to model healthy state behavior, and then we trained patients with HD with this model. All blocks and relations between them were designed based on physiological findings.<br>
<strong>Results:</strong> According to the physiological findings, increasing or decreasing model connection weights are indicative of change in secretion of respective neurotransmitters. Our results show the simulating ability of the model in normal condition and diferent disease stages.<br>
<strong>Conclusion:</strong> Fine similarity between the presented model and BG physiological structure with its high ability in simulating HD disorders, introduces this model as a powerful tool to analyze HD behavior.</p>
Basal ganglia, Huntington disease, Neural network models, Neurotransmitters
107
114
http://bcn.iums.ac.ir/browse.php?a_code=A-10-36-1&slc_lang=en&sid=1
Abbas
Pourhedayat
a.pourhh@gmail.com
1370031947532846007441
1370031947532846007441
No
Department of Mechatronics Engineering, School of Engineering-Emerging Technologies, University of Tabriz, Tabriz, Iran.
Yashar
Sarbaz
yashar.sarbaz@tabrizu.ac.ir
1370031947532846007442
1370031947532846007442
Yes
Department of Mechatronics Engineering, School of Engineering-Emerging Technologies, University of Tabriz, Tabriz, Iran.