Peng Rui-Jie, Fan Yu, Li Jin, Zhu Feng, Tian Qing, Zhang Xiao-Bin
Suzhou Medical College, Soochow University, Suzhou 215123, Jiangsu Province, China.
Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China.
World J Psychiatry. 2024 Jan 19;14(1):128-140. doi: 10.5498/wjp.v14.i1.128.
A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography (EEG) in people with depression. However, the consistency of findings on EEG microstates in patients with depression is poor, and few studies have reported the relationship between EEG microstates, cognitive scales, and depression severity scales.
To investigate the EEG microstate characteristics of patients with depression and their association with cognitive functions.
A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. We collected information relating to demographic and clinical characteristics, as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS; Chinese version) and EEG.
Compared with the controls, the duration, occurrence, and contribution of microstate C were significantly higher [depression (DEP): Duration 84.58 ± 24.35, occurrence 3.72 ± 0.56, contribution 30.39 ± 8.59; CON: Duration 72.77 ± 10.23, occurrence 3.41 ± 0.36, contribution 24.46 ± 4.66; Duration = 6.02, = 0.049; Occurrence = 6.19, = 0.049; Contribution = 10.82, = 0.011] while the duration, occurrence, and contribution of microstate D were significantly lower (DEP: Duration 70.00 ± 15.92, occurrence 3.18 ± 0.71, contribution 22.48 ± 8.12; CON: Duration 85.46 ± 10.23, occurrence 3.54 ± 0.41, contribution 28.25 ± 5.85; Duration = 19.18, < 0.001; Occurrence = 5.79, = 0.050; Contribution = 9.41, = 0.013) in patients with depression. A positive correlation was observed between the visuospatial/constructional scores of the RBANS scale and the transition probability of microstate class C to B ( = 0.405, = 0.049).
EEG microstate, especially C and D, is a possible biomarker in depression. Patients with depression had a more frequent transition from microstate C to B, which may relate to more negative rumination and visual processing.
最近越来越多的研究通过测量抑郁症患者的脑电图（EEG）来探索大脑的潜在活动。然而，抑郁症患者脑电图微状态的研究结果一致性较差，很少有研究报道脑电图微状态、认知量表和抑郁严重程度量表之间的关系。
探讨抑郁症患者的脑电图微状态特征及其与认知功能的关系。
本研究共纳入24例诊断为抑郁症的患者和32名健康对照者，采用《精神障碍诊断与统计手册》第五版的结构化临床访谈来诊断疾病。我们收集了有关人口统计学和临床特征的信息，以及来自可重复神经心理状态评估量表（RBANS；中文版）和脑电图的数据。
与对照组相比，微状态C的持续时间、出现次数和贡献率显著更高[抑郁症（DEP）：持续时间84.58±24.35，出现次数3.72±0.56，贡献率30.39±8.59；对照组（CON）：持续时间72.77±10.23，出现次数3.41±0.36，贡献率24.46±4.66；持续时间t = 6.02，P = 0.049；出现次数t = 6.19，P = 0.049；贡献率t = 10.82，P = 0.011]，而微状态D的持续时间、出现次数和贡献率显著更低（DEP：持续时间70.00±15.92，出现次数3.18±0.71，贡献率22.48±8.12；CON：持续时间85.46±10.23，出现次数3.54±0.41，贡献率28.25±5.85；持续时间t = 19.18，P < 0.001；出现次数t = 5.79，P = 0.050；贡献率t = 9.41，P = 0.013）。RBANS量表的视觉空间/构图得分与微状态C到B的转换概率之间存在正相关（r = 0.405，P = 0.049）。
脑电图微状态，尤其是C和D，可能是抑郁症的生物标志物。抑郁症患者从微状态C到B的转换更频繁，这可能与更多的消极反刍和视觉加工有关。
