Cui Yan, Lei Hui, Yu Shuang, Chen Ke, Xia Yang, Xu Ruxiang, Guo Daqing, Zhu Xiongzhao, Yao Dezhong
Sichuan Provincial Key Laboratory for Human Disease Gene Study, Department of Neurosurgery, MOE Key Lab for NeuroInformation, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
The Clinical Hospital of Chengdu Brain Science Institute, Centre for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Cogn Neurodyn. 2025 Dec;19(1):93. doi: 10.1007/s11571-025-10288-0. Epub 2025 Jun 17.
Obsessive compulsive disorder (OCD) is a serious mental disease highly associated with the dysfunctional dynamics of brain networks. The default mode network (DMN) is an essential brain network responding to various cognitive functions, which has been reported the abnormality in OCD patients. However, the underlying evolutions of temporal-spatial neurodynamics in fast-changing DMN activity of OCD remains largely unclear. In the present work, we tried to address this issue by tracking the neurodynamic structure of electrophysiological DMN activity in OCD patients during the resting state. To achieve this purpose, we reconstructed the DMN source activity from the scalp EEG signal with the exact low-resolution brain electromagnetic tomography (LORETA) algorithm, and applied coactive micropattern (CAMP) analysis developed by our previous studies to characterize DMN dynamics. We observed three CAMPs with distinct spatial structures in DMN dynamics for the normal subjects, while there were four different CAMPs in OCD patients. More interestingly, the temporal features of CAMPs which displayed similar spatial structures in two groups were also significantly altered in OCD patients compared with those in normal subjects, implying an abnormal DMN dynamic structure for OCD. Moreover, stronger DMN source connectivity in different CAMP networks emerged in OCD patients, where the posterior cingulate cortex and frontal cortex might be two hub regions with more increased connectivity. Overall, our results showed pathological alterations in the dynamic configuration of the DMN in OCD patients and revealed the neural brain network mechanism for OCD. All these findings could deepen our understanding of the neural pathology of OCD and might provide potential electrophysiological markers for diagnosing OCD patients clinically.
强迫症(OCD)是一种严重的精神疾病,与大脑网络的功能失调密切相关。默认模式网络(DMN)是一个对各种认知功能起关键作用的大脑网络,已有报道称强迫症患者存在该网络异常。然而,强迫症患者快速变化的DMN活动中时空神经动力学的潜在演变在很大程度上仍不清楚。在本研究中,我们试图通过追踪强迫症患者静息状态下电生理DMN活动的神经动力学结构来解决这一问题。为实现这一目的,我们使用精确低分辨率脑电磁断层成像(LORETA)算法从头皮脑电图信号中重建DMN源活动,并应用我们之前研究开发的共激活微模式(CAMP)分析来表征DMN动力学。我们观察到正常受试者的DMN动力学中有三种具有不同空间结构的CAMP,而强迫症患者中有四种不同的CAMP。更有趣的是,与正常受试者相比,两组中显示相似空间结构的CAMP的时间特征在强迫症患者中也有显著改变,这意味着强迫症患者的DMN动态结构异常。此外,强迫症患者不同CAMP网络中的DMN源连接性更强,其中后扣带回皮质和额叶皮质可能是连接性增加更多的两个枢纽区域。总体而言,我们的结果显示了强迫症患者DMN动态配置的病理改变,并揭示了强迫症的神经脑网络机制。所有这些发现都可以加深我们对强迫症神经病理学的理解,并可能为临床上诊断强迫症患者提供潜在的电生理标志物。