Lu Zhe, Guo Jing, Sun Junyuan, Sun Yaoyao, Zhang Ying, Zhang Yuyanan, Liao Yundan, Kang Zhewei, Feng Xiaoyang, Zhao Guorui, Yuan Rui, Zhu Yunqing, Yue Weihua
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Mol Psychiatry. 2025 May 20. doi: 10.1038/s41380-025-03062-5.
This study aims to compare and rank event-related potentials (ERP) components among healthy individuals and patients with various psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), major depressive disorder (MDD), anxiety disorder (AD), and obsessive-compulsive disorder (OCD).
A comprehensive search was conducted in PubMed, Embase, PsycINFO, and Web of Science up to March 20th, 2024. Original studies reporting ERP component data in patients with psychiatric disorders were included. Network meta-analyses were conducted to compare ERP components, including P300, mismatch negative (MMN), P50, N1, N2, P1, and P2.
From 47,391 citations, 687 studies were included, with sample sizes ranging from 893 to 16,879. Compared to healthy controls (HC), significant reduction in amplitudes and latency delay of P300, and reduced MMN amplitude were observed in SCZ, BD, and MDD. Additionally, SCZ displayed significant abnormalities in all P50 components. Reductions in N1, N2, and P2 amplitudes were noted in SCZ, with increased N2 latencies in SCZ and BD. The most significant difference across psychosis in EPR components was the MMN amplitude and ERN amplitude between OCD and SCZ. Finally, the composite ERP-score suggested SCZ rank the first in ERP abnormalities. Most primary outcomes were stable in sensitivity analyses.
The findings suggested that SCZ exhibited pronounced electrophysiological abnormalities, particularly in the P300 and P50 components. Moreover, the results provided a comprehensive overview of the varying electrophysiological profiles across different psychoses. These insights support the potential of ERPs as neurophysiological markers reflecting the neural dysfunctions associated with these disorders. Prospero registration: CRD42022361158.
本研究旨在比较并对健康个体以及患有包括精神分裂症（SCZ）、双相情感障碍（BD）、重度抑郁症（MDD）、焦虑症（AD）和强迫症（OCD）等各种精神疾病的患者的事件相关电位（ERP）成分进行排序。
截至2024年3月20日，在PubMed、Embase、PsycINFO和Web of Science中进行了全面检索。纳入了报告精神疾病患者ERP成分数据的原始研究。进行网络荟萃分析以比较ERP成分，包括P300、失配负波（MMN）、P50、N1、N2、P1和P2。
从47391条引用中，纳入了687项研究，样本量从893到16879不等。与健康对照（HC）相比，在SCZ、BD和MDD中观察到P300的波幅显著降低和潜伏期延迟，以及MMN波幅降低。此外，SCZ在所有P50成分中均表现出显著异常。在SCZ中，N1、N2和P2波幅降低，在SCZ和BD中N2潜伏期延长。在EPR成分中，精神病之间最显著的差异是OCD和SCZ之间的MMN波幅和ERN波幅。最后，综合ERP评分表明SCZ在ERP异常方面排名第一。大多数主要结果在敏感性分析中是稳定的。
研究结果表明，SCZ表现出明显的电生理异常，特别是在P300和P50成分中。此外，结果提供了不同精神病患者不同电生理特征的全面概述。这些见解支持了ERP作为反映与这些疾病相关的神经功能障碍的神经生理标志物的潜力。Prospero注册编号：CRD42022361158。
