Sun Qiaoling, Zhao Linlin, Tan Liwen
Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Front Psychiatry. 2022 Mar 14;13:853602. doi: 10.3389/fpsyt.2022.853602. eCollection 2022.
Microstate analysis is a powerful tool to probe the brain functions, and changes in microstates under electroencephalography (EEG) have been repeatedly reported in patients with schizophrenia. This study aimed to investigate the dynamics of EEG microstates in drug-naïve, first-episode schizophrenia (FE-SCH) and to test the relationship between EEG microstates and clinical symptoms.
Resting-state EEG were recorded for 23 patients with FE-SCH and 23 healthy controls using a 64-channel cap. Three parameters, i.e., contribution, duration, and occurrence, of the four microstate classes were calculated. Group differences in EEG microstates and their clinical symptoms [assessed using the Positive and Negative Syndrome Scale (PANSS)] were analyzed.
Compared with healthy controls, patients with FE-SCH showed increased duration, occurrence and contribution of microstate class C and decreased contribution and occurrence of microstate class D. In addition, the score of positive symptoms in PANSS was negatively correlated with the occurrence of microstate D.
Our findings showed abnormal patterns of EEG microstates in drug-naïve, first-episode schizophrenia, which might help distinguish individuals with schizophrenia in the early stage and develop early intervention strategies.
微状态分析是探究脑功能的有力工具，精神分裂症患者脑电图（EEG）下微状态的变化已被多次报道。本研究旨在调查初发未用药的首发精神分裂症（FE-SCH）患者EEG微状态的动态变化，并测试EEG微状态与临床症状之间的关系。
使用64导电极帽记录了23例FE-SCH患者和23名健康对照者的静息态EEG。计算了四种微状态类别的三个参数，即贡献率、持续时间和发生率。分析了EEG微状态及其临床症状[使用阳性和阴性症状量表（PANSS）评估]的组间差异。
与健康对照相比，FE-SCH患者的微状态C类持续时间、发生率和贡献率增加，微状态D类的贡献率和发生率降低。此外，PANSS中阳性症状得分与微状态D的发生率呈负相关。
我们的研究结果显示，初发未用药的首发精神分裂症患者存在EEG微状态异常模式，这可能有助于在早期区分精神分裂症个体并制定早期干预策略。
