Unité de Recherche Clinique Pierre Deniker, Centre Hospitalier Henri Laborit, 370 Avenue Jacques Coeur, 86021, Poitiers, France.
Centre de Recherches sur la Cognition et l'Apprentissage, Université de Poitiers, CNRS 7295, 86021, Poitiers, France.
Eur Arch Psychiatry Clin Neurosci. 2024 Feb;274(1):207-225. doi: 10.1007/s00406-023-01642-6. Epub 2023 Jul 8.
The past 20 years of research on EEG microstates has yielded the hypothesis that the imbalance pattern in the temporal dynamics of microstates C (increased) and D (decreased) is specific to schizophrenia. A similar microstate imbalance has been recently found in obsessive-compulsive disorder (OCD). The aim of the present high-density EEG study was to examine whether this pathological microstate pattern is co-specific to schizophrenia and OCD. We compared microstate temporal dynamics using Bayesian analyses, transition probabilities analyses and the Topographic Electrophysiological State Source-Imaging method for source reconstruction in 24 OCD patients and 28 schizophrenia patients, respectively, free of comorbid psychotic and OCD symptoms, and 27 healthy controls. OCD and schizophrenia patients exhibited the same increased contribution of microstate C, decreased duration and contribution of microstate D and greater D → C transition probabilities, compared with controls. A Bayes factor of 4.424 for the contribution of microstate C, 4.600 and 3.824, respectively, for the duration and contribution of microstate D demonstrated that there was no difference in microstate patterns between the two disorders. Source reconstruction further showed undistinguishable dysregulations between the Salience Network (SN), associated with microstate C, and the Executive Control Network (ECN), associated with microstate D, and between the ECN and cognitive cortico-striato-thalamo-cortical (CSTC) loop in the two disorders. The ECN/CSTC loop dysconnectivity was slightly worsened in schizophrenia. Our findings provide substantial evidence for a common aetiological pathway in schizophrenia and OCD, i.e. microstate co-specificity, and same anomalies in salience and external attention processing, leading to co-expression of symptoms.
过去 20 年的 EEG 微状态研究提出了一个假设,即微状态 C(增加)和 D(减少)的时间动态不平衡模式是精神分裂症特有的。最近在强迫症(OCD)中也发现了类似的微状态失衡。本高密度 EEG 研究的目的是检验这种病理性微状态模式是否与精神分裂症和 OCD 共特异性。我们分别比较了 24 名 OCD 患者和 28 名精神分裂症患者的微状态时间动态,使用贝叶斯分析、转换概率分析和拓扑电生理状态源成像方法进行源重建,并且纳入了 27 名无合并精神病和 OCD 症状的健康对照者。与对照组相比,OCD 和精神分裂症患者的微状态 C 贡献增加,微状态 D 的持续时间和贡献减少,D→C 转换概率增加。微状态 C 贡献的贝叶斯因子为 4.424,微状态 D 的持续时间和贡献的贝叶斯因子分别为 4.600 和 3.824,表明两种疾病的微状态模式没有差异。源重建进一步显示,与微状态 C 相关的突显网络(SN)和与微状态 D 相关的执行控制网络(ECN)之间,以及在两种疾病中 ECN 和认知皮质纹状体丘脑皮质(CSTC)回路之间,调控失调没有区别。精神分裂症中 ECN/CSTC 回路的连通性略差。我们的发现为精神分裂症和 OCD 存在共同的病因途径提供了充分的证据,即微状态共特异性,以及在突显和外部注意处理中存在相同的异常,导致症状的共同表达。