دوره 17، شماره 4 - ( مجله کنترل، جلد 17، شماره 4، زمستان 1402 )
جلد 17 شماره 4,1402 صفحات 64-49 |
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Khaledi M, Feizollahi F, Behboudi M, Jalili C, Siyah Mansoory M. Proposing a solution for diagnosing MS disease using dynamic functional brain connectivity tools and intelligent neural network by experimental data. JoC 2024; 17 (4) :49-64
URL: http://joc.kntu.ac.ir/article-1-971-fa.html
URL: http://joc.kntu.ac.ir/article-1-971-fa.html
خالدی مسعود، فیض الهی فاضل، بهبودی مریم، جلیلی سیروس، سیاه منصوری* میثم. ارائه راهکاری جهت تشخیص بیماری MS با استفاده از ابزارهای شبکه ارتباطات کارکردی پویای مغز و شبکه عصبی هوشمند به کمک داده‌های آزمایشگاهی. مجله کنترل. 1402; 17 (4) :49-64
مسعود خالدی*1 
، فاضل فیض الهی2 ، مریم بهبودی1 ، سیروس جلیلی1 ، میثم سیاه منصوری*1
، فاضل فیض الهی2 ، مریم بهبودی1 ، سیروس جلیلی1 ، میثم سیاه منصوری*1
1- گروه پزشکی، دانشگاه علوم پزشکی کرمانشاه، کرمانشاه، ایران
2- گروه کنترل، دانشگاه تربیت مدرس، تهران، ایران،
2- گروه کنترل، دانشگاه تربیت مدرس، تهران، ایران،
چکیده: (2215 مشاهده)
در بیماری MS، آسیب‌های واردشده به فیبر عصبی در داده‌های ساختاری به خوبی قابل تشخیص نیست. لذا استفاده از داده‌های ساختاری به‌تنهایی، موجب پنهان ماندن بیماری می‌شود. این مطلب نشان‌گر اهمیت داده‌های کارکردی در تشخیص زودهنگام بیماری است. در این مقاله به بررسی داده‌های fMRI برای دو گروه سالم و بیمار به کمک ابزارهای شبکه ارتباطات کارکردی و شبکه عصبی پرداخته می‌شود. با توجه به اختلال شناختی ناشی از ضایعات ساختاری در مراحل اولیه بیماری، ارائه مدل ارتباطات کارکردی امکان ارزیابی تغییرات مشخصه‌های توپولوژی مغز را فراهم می‌کند. برای این منظور، تعداد 60 سوژه شامل 30 نفر سالم و 30 نفر بیمار در بازه سنی 20 تا 60 سال با دوره بیماری با میانگین 30 ماه و با تعداد حملات متغیر انتخاب شده‌اند. در ادامه یک دیکشنری کامل با حضور سری‌های زمانی داده‌های هر دو گروه استخراج شده و درنهایت، مفهوم ساختار ماژولار از وزن‌های پراکنده برای بیان ارتباطات نواحی مختلف مغز به کار گرفته شده است. بررسی نتایج نشان داد که در کل تعداد 57 ناحیه ROI از هر دو گروه افراد سالم و بیمار محاسبه شده که از بین 57 ناحیه به دست آمده، تنها 16 ناحیه در میان دو گروه سالم و بیمار مشترک است.
واژه‌های کلیدی: بیماری MS، داده‌های تصویربرداری fMRI، شبکه ارتباطات کارکردی پویای مغز، شبکه عصبی هوشمند.
نوع مطالعه: كاربردي |
موضوع مقاله:
تخصصي
دریافت: 1402/5/14 | پذیرش: 1402/10/26 | انتشار الکترونیک پیش از انتشار نهایی: 1402/10/30 | انتشار: 1402/11/1
دریافت: 1402/5/14 | پذیرش: 1402/10/26 | انتشار الکترونیک پیش از انتشار نهایی: 1402/10/30 | انتشار: 1402/11/1
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