0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
A Computational Model of Phase-Delayed Balanced Biphasic Deep Brain Stimulation for Essential Tremor in a Cerebellar-Basal Ganglia-Thalamocortical Network
Authors :
Shabnam Andalibi Miandoab
1
Nazlar Ghasemzadeh
2
1- دانشگاه آزاد اسلامی واحد تبریز
2- دانشگاه آزاد اسلامی واحد تبریز
Keywords :
Essential Tremor (ET)،CBGTHC network model،Monophasic DBS،Biphasic DBS،Parkinson’s Disease (PD)
Abstract :
Essential Tremor is one of the most common movement disorders that significantly reduces the quality of life of patients. Deep brain stimulation (DBS) has been proposed as an effective treatment for this disease, but the selection of optimal stimulation parameters remains a major challenge and is often based on trial and error. The use of comprehensive computational models to simulate brain networks and investigate the effects of different DBS pulses could be an important step in improving the understanding of the disease mechanism and designing more accurate and efficient treatment protocols. For this purpose, in this study, a computational model of the cerebellar-basal ganglia thalamocortical (CBGTHC) network has been developed, including key areas such as basal ganglia with neurons of the Subthalamic Nucleus (STN), Globus Pallidus Externa (GPe) and Globus Pallidus Interna (GPi), the striatum with neurons of D1 Medium Spiny Neuron (D1 MSN), D2 Medium Spiny Neuron (D2 MSN) and Fast Spiking Interneuron (FSI), and the thalamocortical with neurons of the Nucleus Reticularis Thalami (nRT), Cortex, Deep Cerebellar Nuclei (DCN), Thalamus (Th) and or Ventral Intermediate Nucleus of the Thalamus (Vim). Then, three types of stimulation, including rectangular monophasic DBS, symmetrical rectangular biphasic DBS, and phase-delayed balanced rectangular biphasic DBS have been simulated on GPi and GPe neurons in Parkinsonian conditions. The results show that phase-delayed balanced rectangular biphasic DBS stimulation at a frequency of 100 Hz and a pulse width of 4 ms is the most effective pattern in reducing beta band oscillations (0.1-0.2) and controlling GPi and GPe burst discharges, and ultimately controlling tremor. On the other hand, phase-delayed balanced rectangular biphasic DBS stimulation has led to a reduction in power loss and heat and causes minimal damage to brain tissue. These findings indicate that the correct selection of pulse type and DBS parameters can provide the greatest therapeutic efficacy for patients with essential tremor in Parkinson's disease by reducing side effects.
Papers List
List of archived papers
مروری جامع بر کاربردهای هوش مصنوعی توضیح پذیر
زهرا تقی پور - پرویز قربانزاده - سمیرا کرامت طلاتپه - آذر ملازاده ایگدیر
تشخیص بیماری MS با استفاده از EfficientNet-B0 و CycleGAN بر پایه نقشههای ضخامت شبکیه
محبوبه سبزه یان - مریم سبزه یان - ماندانا سادات غفوریان - امین نوری
Phase-Amplitude Coupling Reflects Functional Cortical Engagement During Dynamic and Static Motor Tasks
Seyed Saman Sajadi - Ahmad Reza Keihani - Fateme Karbasi - Mohammad Amin Fathollahi - Shahriar Nafissi - Erfan Azizi - Amir Homayoun Jafari
A Combined Time-Frequency and Common Spatial-Spectral Pattern Approach for EEG-Based Motor Imagery Classification
Reza Nejati - Hamed Danandeh Hesar
چارچوب احراز هویت مبتنی بر بلاکچین برای حفظ حریم خصوصی کاربران در شبکههای مخابراتی
رضا دانش
مروری بر ابزارهای نوین تأمین مالی اسلامی
مهدی زینالی
بررسی تأثیر قدرت رقابتی و ریسک ورشکستگی بر اعتبار تجاری شرکتهای پذیرفته شده در بورس اوراق بهادار تهران
فاطمه تسلیمی
ارتباط بین تضاد نمایندگی و حقالزحمه عادی و غیرعادی حسابرس
فیروز نظاری ابر - رسول برادران حسن زاده - رقیه دهقان
Region-Specific EEG Channel-Based Emotion Detection using Bi-directional Deep Neural Networks
Mahdi Jafari Asl - Sina Shamekhi - Fatemeh Shalchizadeh
کاربردهای هوش مصنوعی و یادگیری عمیق در تشخیص و پیشبینی بیماریها
علی فرزین
more
Samin Hamayesh - Version 43.6.0