Gholamreza Chalabianloo; Zahra Keshtgar; Forough Farrokhzad
Abstract
Aim: Major depressive disorder is a prevalent psychiatric disorder in which an emotional processing problem is one of the main characteristics of the disorder. Research demonstrates the role of cortical electrical activity components in emotional processing in depression disorder. So the aim of the study ...
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Aim: Major depressive disorder is a prevalent psychiatric disorder in which an emotional processing problem is one of the main characteristics of the disorder. Research demonstrates the role of cortical electrical activity components in emotional processing in depression disorder. So the aim of the study is to determine the role of cortical coherence in predicting emotional processing in patients with major depressive disorder. Method: 60 patients with major depressive mood disorder selected based on DSM-5. Cortical electrical activities of patients recorded by 21 channels EEG & coherence of different bands for anterior, central & posterior regions in two hemispheres calculated by neuro guide software. Emotion processing evaluated by Williams et al (2008) emotional faces detection task. Findings: Regression analysis indicated that coherence of alpha in anterior, beta in central regions of the left hemisphere, and alpha in anterior & beta in posterior regions in right hemisphere predicted positive emotion processing. Also, Coherence of theta & alpha bands in anterior regions in the left hemisphere positively, and left central & right posterior beta bands negatively predicted negative emotion processing. Conclusion: The coherence of theta, alpha & beta bands in anterior & posterior regions play a key role in predicting emotional processing in depressive patients. The results indicated that the anterior regions detect the type of emotion & posterior regions detect arousal severity.
