Correlation Between Asymmetry Of Prefrontal Alpha Rhythm In Left And Right Hemispheres And Severity Of Depression

Purpose:Depression is one of the most common mental disorders in clinic.Electroencephalography as a non-invasive,simple and easy means has been favored by the majority of researchers.with the continuous development and update of computer technology,the current research has found a variety of biomarkers that may have a guiding role in the clinical diagnosis and evaluation of depression.The alpha rhythm in EEG has been widely concerned and studied in recent years,especially the asymmetry of alpha rhythm in prefrontal lobe(FAA),which may play an important role in the diagnosis and evaluation of depression and in guiding treatment.In this study,we will measure EEG for patients with depression.By quantifying the symmetry of prefrontal alpha rhythm in patients with depression,we will examine the relationship between neuroelectrophysiological indicators and depression.and the degree of asymmetry of prefrontal alpha rhythm in left and right hemispheres in patients with baseline depression.Test the correlation between FAA index and depression severity.Methods: This study selected the 60 cases in America’s fifth edition of the diagnostic and statistical manual of mental disease(DSM-Ⅴ)diagnostic criteria of depression patients,by three experienced psychiatrist using HAMD(Hamilton Depression Scale)and HAMA(Hamilton Anxiety Scale)estimate the severity of the illness,the use of SDS(Self-Rating’ Scale)to assess the patient’s overall condition.All subjects were then examined by electroencephalogram.After data collection,the data were analyzed offline using Matlab2019b and EEGLAB toolkit.Manual removal after period of time,containing noise separately for each lead brain electrical signal for bandpass filter(0.3-40 Hz),power spectral density estimation,extraction of 8 to 13 Hz range of Alpha rhythm energy and extraction of F3 and F4 two lead Alpha average energy,use the formula to calculate the FAA value.Data analysis using SPSS 24.0 statistical analysis software package(IBM,West Grove,PA,USA),obey the normal distribution of measurement data to((?)±s),the count data to the number of cases,normal measurement data using t test,do not obey the normal distribution of measurement data to the median and interquartile spacing(M(p25,p75))said that correlation analysis using regression analysis,P<0.05 difference was statistically significant.Results:(1)The left alpha signal power(F3)was significantly higher than the right alpha signal power(F4),P < 0.05.Among them,the F3 of patients with different marital status,age groups,disease course groups,different educational levels and patients with or without family history were significantly higher than that of F4(P < 0.05),and the F3 of female patients was also significantly higher than that of F4(P < 0.05),but there was no statistically significant difference in the values of F3 and F4 of male patients(P >0.05).(2)There was no significant difference in the value of FAA among patients with different ages,marital status,course of disease,educational level and whether there was a family history(P > 0.05).The value of FAA in male patients was significantly higher than that in female patients(P < 0.05).(3)There was a negative correlation between FAA value and HAMD score,R~2=0.590,P< 0.05;The value of FAA in mild and moderate depression group was significantly higher than that in severe depression group(P < 0.05).(4)The relationship between FAA and HAMD scores was as follows: FAA was significantly correlated with the scores of anxiety/somatization,cognitive disorder,block,sleep disorder and sense of hopelessness(P < 0.05),while there was no significant correlation with the scores of body weight and change of day and night(P >0.05).(5)There was a significant positive correlation between HAMA and HAMD score,R~2=0.515,P < 0.05.(6)There was a negative correlation between FAA and HAMA scores,R~2=0.495,P <0.05.Conclusion: In depressed patients,the prefrontal alpha signal power is asymmetrical between the left and right hemispheres of the brain,and the mechanism is not fully understood.Our study found that the asymmetry of prefrontal alpha signal power in the left and right hemispheres was positively correlated with the severity of depression in depressed patients.FAA may provide a reliable basis for the evaluation of the severity of depression,and further provide objective evaluation indicators for the treatment of antidepressant drugs,so as to timely evaluate whether antidepressant drugs are effective,and provide important reference for the adjustment of treatment drugs and the prediction of treatment effect in advance.