Research on neural network in childhood absence epilepsy based on multi-frequency magnetoencephalography
10.3760/cma.j.cn113694-20240416-00243
- VernacularTitle:基于多频段脑磁图技术的儿童失神癫痫神经网络研究
- Author:
Yingfan WANG
1
;
Mingyang DU
;
Minghao LI
;
Jing LU
;
Yinjie ZHU
;
Xiaoshan WANG
Author Information
1. 南京医科大学附属脑科医院神经内科，南京 210029
- Keywords:
Epilepsy, absence;
Child;
Magnetoencephalography;
Multi-frequency;
Functional connectivity;
Spectral power
- From:
Chinese Journal of Neurology
2024;57(10):1101-1110
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate alterations in functional connectivity network and brain function activity in childhood absence epilepsy (CAE) based on neuromagnetic signals by using multi-frequency magnetoencephalography.Methods:Twenty-five drug-naive children diagnosed with CAE from the Affiliated Brain Hospital of Nanjing Medical University and the Affiliated Children′s Hospital of Nanjing Medical University during October 2022 and March 2024 and 25 healthy controls matched for age and sex from community were recruited in this cross-sectional study. The interictal data, ictal data of CAE and healthy control children were collected using a CTF-275 channel magnetoencephalography system. Corrected amplitude envelope correlation was used to construct functional connectivity network, and network-based statistics were used to compare network differences between groups. Relative power spectral density was used to describe the distribution characteristics of whole-brain spectral power. Nonparametric permutation tests were conducted 1 000 times to compare spectral power differences between groups.Results:In terms of functional connectivity, significant increases in network activity were observed in the low-frequency bands (δ, θ) during interictal periods in children with CAE. A sub-network with significantly increased functional connectivity, including key nodes of the default mode network, was observed in the δ band. Compared with interictal periods, functional connectivity in the δ band decreased during absence seizures in children with CAE, while connectivity in the mid-to-high-frequency bands (α-γ2) increased. In terms of spectral power, children with CAE during interictal periods exhibited widespread magnetic source activation in the δ band, activation in parts of the parietal and occipital lobes in the θ band, and significantly decreased magnetic source intensity in most areas of the parietal, occipital, and temporal lobes in the α-γ2 band. Compared with interictal periods, children with CAE during absence seizures exhibited widespread magnetic source activation in the δ band, and significantly decreased activation in the θ-γ2 band. According to the magnetic source distribution map, during absence seizures, the frontal lobe replaced the parieto-occipital region in cortical activation in the α band.Conclusion:In the analysis of functional network and spectral power based on multi-frequency neuromagnetic signals, the network pattern and magnetic source activation of children with CAE during interictal periods were significantly different from those of healthy children, and there were characteristic changes in neuromagnetic signals during consciousness impairment caused by absence seizures in children with CAE.
