Ke Ming, Wang Feng, Liu Guangyao
School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050 China.
Department of Nuclear Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, 730030 China.
Cogn Neurodyn. 2024 Aug;18(4):1549-1561. doi: 10.1007/s11571-023-09994-4. Epub 2023 Jul 31.
Juvenile myoclonic epilepsy (JME) is associated with brain dysconnectivity in the default mode network (DMN). Most previous studies of patients with JME have assessed static functional connectivity in terms of the temporal correlation of signal intensity among different brain regions. However, more recent studies have shown that the directionality of brain information flow has a more significant regional impact on patients' brains than previously assumed in the present study. Here, we introduced an empirical approach incorporating independent component analysis (ICA) and spectral dynamic causal modeling (spDCM) analysis to study the variation in effective connectivity in DMN in JME patients. We began by collecting resting-state functional magnetic resonance imaging (rs-fMRI) data from 37 patients and 37 matched controls. Then, we selected 8 key nodes within the DMN using ICA; finally, the key nodes were analyzed for effective connectivity using spDCM to explore the information flow and detect patient abnormalities. This study found that compared with normal subjects, patients with JME showed significant changes in the effective connectivity among the precuneus, hippocampus, and lingual gyrus ( < 0.05 with false discovery rate (FDR) correction) with most of the effective connections being strengthened. In addition, previous studies have found that the self-connection of normal subjects' nodes showed strong inhibition, but the self-connection inhibition of the anterior cingulate cortex and lingual gyrus of the patient was decreased in this experiment ( < 0.05 with FDR correction); as the activity in these areas decreased, the nodes connected to them all appeared abnormal. We believe that the changes in the effective connectivity of nodes within the DMN are accompanied by changes in information transmission that lead to changes in brain function and impaired cognitive and executive function in patients with JME. Overall, our findings extended the dysconnectivity hypothesis in JME from static to dynamic causal and demonstrated that aberrant effective connectivity may underlie abnormal brain function in JME patients at early phase of illness, contributing to the understanding of the pathogenesis of JME.
The online version contains supplementary material available at 10.1007/s11571-023-09994-4.
青少年肌阵挛癫痫(JME)与默认模式网络(DMN)中的脑连接异常有关。以往大多数针对JME患者的研究都是根据不同脑区信号强度的时间相关性来评估静态功能连接性。然而,最近的研究表明,脑信息流的方向性对患者大脑的区域影响比本研究之前所假设的更为显著。在此,我们引入了一种结合独立成分分析(ICA)和频谱动态因果模型(spDCM)分析的实证方法,以研究JME患者DMN中有效连接性的变化。我们首先收集了37例患者和37例匹配对照的静息态功能磁共振成像(rs-fMRI)数据。然后,我们使用ICA在DMN内选择了8个关键节点;最后,使用spDCM对关键节点进行有效连接性分析,以探索信息流并检测患者的异常情况。本研究发现,与正常受试者相比,JME患者在楔前叶区、海马区和舌回之间的有效连接性有显著变化(经错误发现率(FDR)校正后P<0.05),且大多数有效连接增强。此外,以往研究发现正常受试者节点的自连接表现出强烈抑制,但在本实验中患者前扣带回皮质和舌回的自连接抑制降低(经FDR校正后P<0.05);随着这些区域活动的减少,与其相连的节点均出现异常。我们认为,DMN内节点有效连接性的变化伴随着信息传递的改变,进而导致JME患者脑功能变化以及认知和执行功能受损。总体而言,我们的研究结果将JME中的连接异常假说从静态因果扩展到动态因果,并表明异常的有效连接性可能是JME患者疾病早期脑功能异常的基础,有助于理解JME的发病机制。
在线版本包含可在10.1007/s11
571 - 023 - 09994 - 4获取的补充材料。