Variation in functional networks between clinical and subclinical discharges in childhood absence epilepsy: A multi-frequency MEG study

被引:3
作者
Sun, Fangling [1 ]
Wang, Yingfan [1 ]
Li, Yihan [1 ]
Li, Yanzhang [1 ]
Wang, Siyi [1 ]
Xu, Fengyuan [1 ]
Wang, Xiaoshan [1 ]
机构
[1] Nanjing Med Univ, Affiliated Brain Hosp, Dept Neurol, Nanjing, Peoples R China
来源
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY | 2023年 / 111卷
基金
中国国家自然科学基金;
关键词
Childhood absence epilepsy; Clinical and subclinical discharges; Spike-and-wave discharges; Functional network; Default mode network; Magnetoencephalography; GRAPH-THEORETICAL ANALYSIS; IMPAIRED CONSCIOUSNESS; EFFECTIVE CONNECTIVITY; INHIBITORY CONTROL; SEIZURES; EEG; MAGNETOENCEPHALOGRAPHY; PATHOPHYSIOLOGY; CONNECTOMICS; HIPPOCAMPUS;
D O I
10.1016/j.seizure.2023.08.005
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: Two types of spike-and-wave discharges (SWDs) exist in childhood absence epilepsy (CAE): clinical discharges are prolonged and manifest primarily as impaired consciousness, whereas subclinical discharges are brief with few objectively visible symptoms. This study aimed to compare neural functional network and default mode network (DMN) activity between clinical and subclinical discharges to better understand the underlying mechanism of CAE. Methods: Using magnetoencephalography (MEG) data from 21 patients, we obtained 25 segments each of clinical discharges and subclinical discharges. Amplitude envelope correlation analysis was used to construct functional networks and graph theory was used to calculate network topological data. We then compared differences in functional connectivity within the DMN between clinical and subclinical discharges. All statistical comparisons were performed using paired-sample tests. Results: Compared to subclinical discharges, the functional network of clinical discharges exhibited higher synchronization - particularly in the parahippocampal gyrus - as early as 10 s before the seizure. Additionally, the functional network of clinical SWDs presented an anterior shift of key nodes in the alpha frequency band. Regarding clinical discharge progression, there were gradual increases in the parameter node strengths (S), clustering coefficients (C), and global efficiency (E) of the functional networks, while the path lengths (L) decreased. These changes were most prominent at the onset of discharges and followed by some recovery in the high-frequency bands, but no significant change in the low-frequency bands. Furthermore, connections within the DMN during the discharge period were significantly stronger for clinical discharge compared to subclinical discharges. Conclusions: These findings suggest that a more regular network before abnormal discharges in clinical discharges contributes to SWD explosion and that the parahippocampal gyrus plays an important role in maintaining oscillations. An absence seizure is a gradual process and the emergence of SWDs may be accompanied by initiation of inhibitory mechanisms. Enhanced functional connectivity among DMN brain regions may indicate that patients have entered a state of introspection, and functional abnormalities in the parahippocampal gyrus may be associated with patients' transient memory loss.
引用
收藏
页码:109 / 121
页数:13
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