نوع مقاله: مقاله کامل پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی پزشکی، قطب علمی کنترل و پردازش هوشمند، دانشکده‌ی مهندسی برق و کامپیوتر، دانشگاه تهران، تهران، ایران / پژوهش‌گر پیش‌دکتری، مرکز تحقیقات ام‌آر سیمن، دانشگاه کلگری، آلبرتا، کانادا

2 استاد، قطب علمی کنترل و پردازش هوشمند، دانشکده‌ی مهندسی برق و کامپیوتر، دانشگاه تهران، تهران، ایران / پژوهش‌گر ارشد، موسسه‌ی پزشکی هنری فورد، دیترویت، میشیگان، آمریکا

3 استاد، قطب علمی کنترل و پردازش هوشمند، دانشکده‌ی مهندسی برق و کامپیوتر، دانشگاه تهران، تهران، ایران

4 استاد، مرکز جامع صرع، بیمارستان پارس، تهران، ایران

5 استاد، گروه داخلی اعصاب، دانشگاه علوم پزشکی اصفهان، اصفهان، ایران / مرکز تحقیقات علوم اعصاب اصفهان، اصفهان، ایران

چکیده

با توجه به رزولوشن زمانی خوب EEG و رزولوشن مکانی مناسب fMRI، ترکیب اطلاعات هم‌زمان آن‌ها می‌تواند باعث بهبود عمل‌کرد مکان‌یابی شود. در این مقاله سعی شده است تا با استفاده از اطلاعات این دو مدالیته در یک ثبت هم‌زمان، به مکان‌یابی کانون‌های صرعی پرداخته شود. از این رو، نخست از طریق شناسایی وقایع اینترایکتال و میانگین‌گیری، یک الگوی اسپایکر مستخرج از EEG خارج اسکنر ساخته شده و سپس از طریق اعمال همبستگی متقابل بین این الگو و سیگنال EEG درون اسکنر، یک سیستم خودکار به منظور استخراج اطلاعات زمانی لحظه‌ی وقوع حادثه طراحی شده است. پس از آن رگرسور به دست آمده بعد از کانوالو شدن با تابع پاسخ سیستم همودینامیک (HRF) از طریق مدل GLM به مکان‌یابی کانون‌های صرعی پرداخته است. این مطالعه روی 6 بیمار صرعی موضعی مقاوم به دارو که در آزمایشگاه ملی نقشه‌برداری مغز از آن‌ها ثبت داده صورت گرفته، انجام شده است. نتایج روش پیشنهادی با اطلاعات ارائه شده در EEG برای هر 6 بیمار هماهنگی داشته و از این میان برای 4 بیمار که کاندید جراحی مغز بودند، اطلاعاتی اضافه ارائه کرده است. نتایج به دست آمده حاکی از بهبود صحت و دقت مکان‌یابی نسبت به روش‌های پیشین می‌باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Localizing Epileptic Focus through Simultaneous EEG-fMRI Recording and Automated Detection of IED from Inside-Scanner EEG

نویسندگان [English]

  • Elias Ebrahimzadeh 1
  • Hamid Soltanian-Zadeh 2
  • Babak Nadjar Araabi 3
  • Seyed Sohrab Hashemi Fesharaki 4
  • Jafar Mehvari Habibabadi 5

1 Ph.D. Student, CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran / Visiting Ph.D. Student, Seaman Family MR Research Centre, University of Calgary, Calgary, Alberta, Canada

2 Professor, CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran / Senior Scientist, Image Analysis Laboratory, Department of Radiology, Henry Ford Hospital, Detroit, MI, USA

3 Professor, CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

4 Professor, Pars Advanced Medical Research Center, Pars Hospital, Tehran, Iran

5 Professor, Isfahan Neurosciences Research Center, Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

چکیده [English]

Since electroencephalography (EEG) signal contains temporal information and fMRI carries spatial information, we can reasonably expect that a combination of the two contributes greatly to precise localization of   epileptic focuses.  With that in mind, we have first extracted spike patterns from outside of scanner EEG, through detecting and averaging the interictal epileptiform discharges (IED). Then, having implemented the correlation between the identified pattern and inside-scanner EEG, an automated system was developed to extract the temporal information when an epileptic seizure is triggered. We proceeded to convolve the obtained regressor with the hemodynamic response function (HRF) using the general linear model (GLM) for the purpose of localizing the epileptic focus.  This study was conducted on 6 medication-resistant patients with epilepsy whose data was recorded in the National Brain Mapping Lab (NBML). The results of the proposed method are in line with the information provided in EEG for each of the 6 patients, and for the 4 patients who were candidates for brain surgery, they provided further information. The results suggest a significant improvement in localization accuracy and precision compared to existing methods in the literature.

کلیدواژه‌ها [English]

  • localization
  • epileptic focus
  • simultaneous EEG-fMRI recording
  • BOLD signal
  • GLM model

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