Volume 7, Issue 4 (2-2020)                   JCP 2020, 7(4): 91-110 | Back to browse issues page

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Rostamkalaee S N, Rostami R, Rahiminezhad A, Farahani H. A comparison of Spectral power of EEG and ERP in depressed and non depressed people. JCP. 2020; 7 (4) :91-110
URL: http://jcp.khu.ac.ir/article-1-3248-en.html
Tehran University , rrostami@ut.ac.ir
Abstract:   (172 Views)
Depression is the most common mental disorder that disrupts the patientchr('39')s life 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 bionarkers derived from EEG are capable of separating depressed patients from normal ones. Aims: The objective of this study was to compare the power of different frequency bands in depressed and normal individuals. Method: The participants of this non-experimental study were selected using clinical criteria at Atieh Clinic in 2016-2017 (Depressed, 29 women and 21 men; Normal, 19 women and 31 men). EEG were recorded in 19 channels and five frequency bands (delta, theta, alpha, beta, and gamma) at rest (eye closed) and during task (ECPT). Results: The results showed that at rest, mean power was significantly higher (p<0.05) in depressed group only in 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) activity modes (p<0.05). The depressed group was higher. Conclusions: It seems that EEG power in active state is a better disciminator than power in resting state and could potentially be used as a biomarker in the diagnosis of depression.
 Depression is the most common mental disorder that disrupts the patientchr('39')s life 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 bionarkers derived from EEG are capable of separating depressed patients from normal ones. Aims: The objective of this study was to compare the power of different frequency bands in depressed and normal individuals. Method: The participants of this non-experimental study were selected using clinical criteria at Atieh Clinic in 2016-2017 (Depressed, 29 women and 21 men; Normal, 19 women and 31 men). EEG were recorded in 19 channels and five frequency bands (delta, theta, alpha, beta, and gamma) at rest (eye closed) and during task (ECPT). Results: The results showed that at rest, mean power was significantly higher (p<0.05) in depressed group only in 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) activity modes (p<0.05). The depressed group was higher. Conclusions: It seems that EEG power in active state is a better disciminator than power in resting state and could potentially be used as a biomarker in the diagnosis of depression.
Keywords: Depression, power, EEG, ERP, Biomarker
     
Type of Study: Research | Subject: Special
Received: 2020/04/4 | Accepted: 2020/07/18 | Published: 2020/09/15

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