EEG synchronization measures predict epilepsy-related BOLD-fMRI fluctuations better than commonly used univariate metrics
EEG synchronization measures predict epilepsy-related BOLD-fMRI fluctuations better than commonly used univariate metrics
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DOI：
10.1016/j.clinph.2017.12.038
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发表时间：
2018-03-01
影响因子：
4.7
通讯作者：
Figueiredo, Patricia
中科院分区：
文献类型：
--
作者：
Abreu, Rodolfo;Leal, Alberto;Figueiredo, Patricia
目的：我们假设与癫痫活动相关的超同步性最好通过脑电图（EEG）同步性测量来描述，并提议将其用作癫痫相关血氧水平依赖（BOLD）波动的预测指标。
方法：我们在两个频段内计算了相位同步指数（PSI）和全局场同步（GFS），一个是宽带（1 - 45 Hz），另一个是更窄的、聚焦于癫痫活动存在的频段（3 - 10 Hz）。在来自4名癫痫患者的9个同步脑电图 - 功能磁共振成像（EEG - fMRI）数据集中，将相关的癫痫网络与使用常规单一回归因子以及两个功率加权指标（总功率和均方根频率）所获得的网络进行了比较，这些数据集显示发作间期癫痫样放电（IEDs）。
结果：3 - 10 Hz内的平均PSI在反映所有数据集可靠性的几个指标中表现最佳。结果通过对IEDs的电源成像进行了交叉验证。在另外3名患者身上评估了在脑电图上未记录到IEDs时PSI的适用性，在所有情况下都得出了部分合理的网络。
结论：可以基于发作间期癫痫样放电特定频段内的脑电图PSI指标绘制癫痫网络，其表现优于常用的脑电图指标。（C）2018国际临床神经生理学联合会。由爱思唯尔有限公司出版。保留所有权利。
Objective: We hypothesize that the hypersynchronization associated with epileptic activity is best described by EEG synchronization measures, and propose to use these as predictors of epilepsy-related BOLD fluctuations.Methods: We computed the phase synchronization index (PSI) and global field synchronization (GFS), within two frequency bands, a broadband (1-45 Hz) and a narrower band focused on the presence of epileptic activity (3-10 Hz). The associated epileptic networks were compared with those obtained using conventional unitary regressors and two power-weighted metrics (total power and root mean square frequency), on nine simultaneous EEG-fMRI datasets from four epilepsy patients, exhibiting inter-ictal epileptiform discharges (IEDs).Results: The average PSI within 3-10 Hz achieved the best performance across several measures reflecting reliability in all datasets. The results were cross-validated through electrical source imaging of the IEDs. The applicability of PSI when no IEDs are recorded on the EEG was evaluated on three additional patients, yielding partially plausible networks in all cases.Conclusions: Epileptic networks can be mapped based on the EEG PSI metric within an IED-specific frequency band, performing better than commonly used EEG metrics. (C) 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.