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静息态脑磁图源空间网络指标与颞叶癫痫持续时间的关系。

Resting-State MEG Source Space Network Metrics Associated with the Duration of Temporal Lobe Epilepsy.

机构信息

Department of Medical Information and Engineering, College of Electrical Engineering, Sichuan University, Chengdu, China.

The Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.

出版信息

Brain Topogr. 2021 Nov;34(6):731-744. doi: 10.1007/s10548-021-00875-9. Epub 2021 Oct 15.

DOI:10.1007/s10548-021-00875-9
PMID:34652579
Abstract

To evaluate the relationship between the network metrics of 68 brain regions and duration of temporal lobe epilepsy (TLE). Magnetoencephalography (MEG) data from 53 patients with TLE (28 left TLE, 25 right TLE) were recorded between seizures at resting state and analyzed in six frequency bands: delta (0.1-4 Hz), theta (4-8 Hz), lower alpha (8-10 Hz), upper alpha (10-13 Hz), beta (13-30 Hz), and lower gamma (30-48 Hz). Three local network metrics, betweenness centrality, nodal degree, and nodal efficiency, were chosen to analyze the functional brain network. In Left, Right, and All (Left + Right) TLE groups, different metrics provide significant positive or negative correlations with the duration of TLE, in different frequency bands, and in different brain regions. In the Left TLE group, significant correlation between TLE duration and metric exists in the delta, beta, or lower gamma band, with network betweenness centrality, nodal degree, or nodal efficiency, in left caudal middle frontal, left middle temporal, or left supramarginal. In the Right TLE group, significant correlation exists in lower gamma or delta band, with nodal degree, or nodal efficiency, in left precuneus or right temporal pole. In the All TLE group, the significant correlation exists in delta, theta, beta, or lower gamma band, with nodal degree, or betweenness centrality, in either left or right hemisphere. Network metrics for some specific brain regions changed in patients with TLE as the duration of their TLE increased. Further researching these changes may be important for studying the pathogenesis, presurgical evaluation, and clinical treatment of long-term TLE.

摘要

评估 68 个脑区网络指标与颞叶癫痫(TLE)持续时间之间的关系。记录了 53 例 TLE 患者(28 例左侧 TLE,25 例右侧 TLE)在静息状态下发作之间的脑磁图(MEG)数据,并在六个频带中进行了分析:δ波(0.1-4 Hz)、θ波(4-8 Hz)、低α波(8-10 Hz)、高α波(10-13 Hz)、β波(13-30 Hz)和低γ波(30-48 Hz)。选择三个局部网络指标(介数中心性、节点度和节点效率)来分析功能脑网络。在左侧、右侧和双侧(左侧+右侧)TLE 组中,不同的指标在不同的频率带和不同的脑区中与 TLE 持续时间呈显著正相关或负相关。在左侧 TLE 组中,TLE 持续时间与度量之间存在显著相关性,在 delta、beta 或低 gamma 波段,与网络介数中心性、节点度或节点效率相关,在左侧尾状核额中回、左侧颞中回或左侧缘上回。在右侧 TLE 组中,在低 gamma 或 delta 波段与节点度或节点效率存在显著相关性,在左侧楔前叶或右侧颞极。在双侧 TLE 组中,在 delta、theta、beta 或低 gamma 波段与节点度或介数中心性之间存在显著相关性,在左侧或右侧半球。随着 TLE 持续时间的延长,TLE 患者的一些特定脑区的网络指标发生了变化。进一步研究这些变化对于研究长期 TLE 的发病机制、术前评估和临床治疗可能很重要。

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