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Correlation of EEG power atlas and P300 with depressive episode severity in adolescents hospitalized for the first time

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摘要 Objective:To investigate the relationship between the changes of electroencephalogram(EEG)power spectrum,P300 latency and amplitude at different frequency bands and the severity of depressive episode in adolescents who were hospitalized for the first time.Methods:A retrospective study was conducted on 126 adolescent patients with depressive episodes who were hospitalized for the first time in the Department of Children and Adolescents of Yunnan Psychiatric Hospital from January 2022 to August 2023.According to Hamilton Depression Rating Scale(HAMD),the patients were divided into three groups:mild depression group(43 cases),moderate depression group(42 cases)and severe depression group(41 cases).The distribution of the 16-lead power spectrum of α,θ,and δ waves in EEG,as well as the latency and amplitude of P300,were compared among the three groups.The association between adolescent depression and its severity was analyzed.Results:(1)The EEG power distribution of the three groups was different in the frequency bands of α,θ and δ(P<0.05).There were differences in the α,θ,and δ frequency bands between mild and moderate as well as severe depressive episodes,and between moderate and severe depressive episodes in the θ and δ frequency bands.(2)P300,N2 latency and P300 amplitude:There were significant differences among the three groups(P<0.05).(3)δFP1,θF3,θC4,P300 latency and N2 latency were positively correlated with the degree of depression;P300 amplitude andα02 were negatively correlated with the degree of depression.(4)The receiver operating characteristic curve(ROC)area of P300 amplitude was 0.932,and the area under the curve ofα02 was 0.776.Conclusion:The combination of resting EEG power and P300 can be used as a biomarker to assess the severity of a depressive episode in adolescents who are hospitalized for the first time and provide a new strategy for treatment.
出处 《Journal of Translational Neuroscience》 2023年第4期23-30,共8页 转化神经科学电子杂志(英文)
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