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额颞叶癫痫患者言语流畅性任务中的网络重组:一项功能近红外光谱研究。

Network reorganization during verbal fluency task in fronto-temporal epilepsy: A functional near-infrared spectroscopy study.

机构信息

Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taiwan; Center of Faculty Development, Taichung Veterans General Hospital, Taiwan; Division of Epilepsy, Neurological Institute, Taichung Veterans General Hospital, Taiwan.

Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.

出版信息

J Psychiatr Res. 2021 Jun;138:541-549. doi: 10.1016/j.jpsychires.2021.05.012. Epub 2021 May 8.

Abstract

This is the first study to use functional near-infrared spectroscopy (fNIRS) to investigate how the lateralization of the epileptogenic zone affects the reconfiguration of task-related network patterns. Eleven left fronto-temporal epilepsy (L-FTE) and 11 right fronto-temporal epilepsy (R-FTE), as well as 22 age- and gender-matched controls, were enrolled. Signals from 52-channel fNIRS were recorded while the subject was undertaking verbal fluency tasks (VFTs), which included categorical (CFT) and letter (LFT) fluency tasks. Three analytic methods were used to study the network topology: network-based analysis, hub identification, and proportional threshold to select the top 20% strongest connections for both graph theory parameters and clinical correlation. Performance of CFT is accomplished primarily using the ventral pathway, and bilateral ventral pathways are augmented in fronto-temporal epilepsy patients by strengthening the inter-hemispheric connections, especially for R-FTE. LFT mainly employed the dorsal pathway, and further prioritized the left dorsal pathway in strengthening intra-hemispheric connections in fronto-temporal epilepsy, especially L-FTE. The top 20% of the strongest connections only present differences in CFT network compared with the controls. R-FTE increased inter-hemispheric network density, while L-FTE decreased inter-hemispheric average characteristic path length. Accumulative seizure burden only affects L-FTE network. Better LFT performance and longer educational years seem to promote left fronto-temporal networks, and decreased the demand from RR intra-hemispheric connectivity in L-FTE. LFT scores in R-FTE are maintained by preserved RR intra-hemispheric networks. However, CFT scores and educational years seem to have no effect on the CFT network topology in both FTE.

摘要

这是第一项使用功能近红外光谱(fNIRS)研究致痫区偏侧化如何影响任务相关网络模式重配置的研究。共纳入 11 例左侧额颞叶癫痫(L-FTE)和 11 例右侧额颞叶癫痫(R-FTE)患者,以及 22 名年龄和性别匹配的对照者。受试者进行言语流畅性任务(VFT)时记录来自 52 通道 fNIRS 的信号,VFT 包括类别流畅性任务(CFT)和字母流畅性任务(LFT)。采用三种分析方法研究网络拓扑结构:网络分析、枢纽识别和比例阈值选择图论参数和临床相关性最强的前 20%连接。CFT 的表现主要通过腹侧通路完成,双侧腹侧通路通过增强半球间连接在额颞叶癫痫患者中得到增强,尤其是在 R-FTE 中。LFT 主要使用背侧通路,并进一步在额颞叶癫痫中优先加强半球内连接,特别是在 L-FTE 中。最强连接的前 20%仅在 CFT 网络中与对照组存在差异。R-FTE 增加了半球间网络密度,而 L-FTE 降低了半球间平均特征路径长度。累积癫痫发作负担仅影响 L-FTE 网络。更好的 LFT 表现和更长的受教育年限似乎促进了左侧额颞叶网络,并减少了 L-FTE 中 RR 半球内连接的需求。L-FTE 中 RR 半球内网络的保留维持了 LFT 分数。然而,CFT 分数和受教育年限似乎对 FTE 中的 CFT 网络拓扑结构没有影响。

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