مقایسه طیف توان برگرفته از الکتروآنسفالوگرافی در حالت استراحت (چشم بسته) و توان برگرفته از پتانسیل وابسته به رویداد در بیماران افسرده و افراد سالم

نویسندگان
سید نظام‌الدین رستمکلایی 1
رضا رستمی 1
عباس رحیمی‌نژاد 1
حجت‌الله فراهانی 2
1 دانشگاه تهران
2 دانشگاه تربیت مدرس
چکیده
افسردگی شایعترین اختلال روانی است و باعث اختلال در روند زندگی بیمار و تحمیل هزینه بر جامعه می‌شود. اخیرا استفاده از زیست‌نشانگر‌ها در تشخیص و بررسی روند درمان در اختلالات روانی مورد توجه قرار گرفته‌است. یکی از این زیست‌نشانگر‌ها، توان برگرفته از الکتروآنسفالوگرافی برای تفکیک بیماران افسرده از سالم هستند. هدف این پژوهش، مقایسه توان در باندهای فرکانسی مختلف در افراد افسرده و سالم است. شرکت‌کنندگان این پژوهش علی-مقایسه‌ای با استفاده از ملاک‌های بالینی بر مبنای راهنمای تشخیصی و آماری اختلالات روانی (DSM-5) در کلینیک آتیه در سال97-1396 انتخاب شدند (۲۹ زن و ۲۱ مرد افسرده؛ ۱۹ زن و ۳۱ مرد سالم). الکتروآنسفالوگرام با استفاده از سیستم ۱۰-۲۰، در ۱۹ کانال و پنج باند فرکانسی (دلتا، تتا، آلفا، بتا و گاما) در دو حالت استراحت (چشم بسته) و فعالیت (حین انجام تکلیف عملکرد پیوسته هیجانی) ثبت شد. نتایج نشان داد که در حالت استراحت، میانگین توان، تنها در باند گاما (Fz, Cz) ، به شکلی معنی‌دار در گروه افسرده بالاتر بود (p<.05). همچنین در حالت فعالیت در باند تتا (P8، O1 و O2)، آلفا (P4، P8 و O1)، بتا (Fp1، P3، Pz و P4) و گاما (Fp1، Fp2، Fz و O1) تفاوت معناداری مشاهده‌شد و میانگین توان در گروه افسرده بالاتر بود .(p<.05) به نظر می‌رسد توان در حالت فعالیت توانایی تمیز بیشتری از توان در حالت استراحت دارد و بالقوه می‌توان از آن به عنوان زیست‌نشانگر در تشخیص افسردگی استفاده کرد.
کلیدواژه‌ها
افسردگی
الکتروآنسفالوگرافی
پتانسیل وابسته به رویداد
توان
زیستنشانگر

عنوان مقاله English

A Comparison between Spectral Power of Electroencephalogram at Rest (Eyes Closed) and Evoked Related Potential among Depressed and Healthy Individuals

نویسندگان English

Seid Nezamoddin Rostamkalaee 1
Reza Rostami 1
Abbas Rahiminezhad 1
Hojjatollah Farahani 2
2 Tarbiat Modares University
چکیده English

Depression is the most common mental disorder that disrupts patients’ lives and imposes costs on society. Recently, the use of biomarkers in the diagnosis and treatment of psychiatric disorders has been considered. The question is whether biomarkers derived from EEG are capable of separating depressed patients from healthy people. The objective of this study was to compare the power of different frequency bands in depressed and healthy individuals. The participants of this non-experimental study were selected using clinical criteria based on DSM-5 at Atieh Clinic in Tehran in 2016-2017 (29 women and 21 men who were depressed and 19 women and 31 men who were healthy). EEG was recorded in 19 channels and five frequency bands (delta, theta, alpha, beta and gamma) at rest (eyes closed) and during the Emtional Contineous Performance Task (ECPT). The results showed that at rest, the mean power was significantly higher in the depressed group only in the gamma band (Fz and Cz). Significant differences were also observed in theta (P8, O1 and O2), alpha (P4, P8 and O1), beta (Fp1, P3, Pz, and P4) and gamma (Fp1, Fp2, Fz and O1) during activity. Furthermore, mean powers in the depressed group were higher. It seems that EEG power during activity is a better discriminator than power in resting state and it could potentially be used as a biomarker for the diagnosis of depression.


کلیدواژه‌ها English

depression
Power
EEG
ERP
Biomarker
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