Abstract：
OBJECTIVE: Electroencephalographic (EEG) microstate abnormalities have been documented in different neurological disorders. We aimed to assess whether EEG microstates are altered also in patients with temporal epilepsy (TLE) and whether they show different activations in patients with unilateral TLE (UTLE) and bilateral TLE (BTLE).
METHODS: Nineteen patients with UTLE, 12 with BTLE, and 15 healthy controls were enrolled. Resting state high-density electroencephalography (128 channels) was recorded for 15 min with closed eyes. We obtained a set of stable scalp maps representing the EEG activity, named microstates, from which we acquired the following variables: global explained variance (GEV), mean duration (MD), time coverage (TC), and frequency of occurrence (FO). Two-way repeated measures analysis of variance was used to compare groups, and Spearman correlation was performed to study the maps in association with the clinical and neuropsychological data.
RESULTS: Patients with BTLE and UTLE showed differences in most of the parameters (GEV, MD, TC, FO) of the four microstate maps (A-D) compared to controls. Patients with BTLE showed a significant increase in all parameters for the microstates in Map-A and a decrease in Map-D compared to UTLE and controls. We observed a correlation between Map-A, disease duration, and spatial short-term memory, whereas microstate Map-D was correlated with the global intelligence score and short-term memory performance.
CONCLUSIONS: A global alteration of the neural dynamics was observed in patients with TLE compared to controls. A different pattern of EEG microstate abnormalities was identified in BTLE compared to UTLE, which might represent a distinctive biomarker.
METHODS: Nineteen patients with UTLE, 12 with BTLE, and 15 healthy controls were enrolled. Resting state high-density electroencephalography (128 channels) was recorded for 15 min with closed eyes. We obtained a set of stable scalp maps representing the EEG activity, named microstates, from which we acquired the following variables: global explained variance (GEV), mean duration (MD), time coverage (TC), and frequency of occurrence (FO). Two-way repeated measures analysis of variance was used to compare groups, and Spearman correlation was performed to study the maps in association with the clinical and neuropsychological data.
RESULTS: Patients with BTLE and UTLE showed differences in most of the parameters (GEV, MD, TC, FO) of the four microstate maps (A-D) compared to controls. Patients with BTLE showed a significant increase in all parameters for the microstates in Map-A and a decrease in Map-D compared to UTLE and controls. We observed a correlation between Map-A, disease duration, and spatial short-term memory, whereas microstate Map-D was correlated with the global intelligence score and short-term memory performance.
CONCLUSIONS: A global alteration of the neural dynamics was observed in patients with TLE compared to controls. A different pattern of EEG microstate abnormalities was identified in BTLE compared to UTLE, which might represent a distinctive biomarker.
摘要：
目的：脑电图（EEG）微状态异常已在不同的神经系统疾病中得到证实。我们旨在评估颞叶癫痫（TLE）患者的脑电图微状态是否也发生了改变，以及单侧TLE（UTLE）和双侧TLE（BTLE）患者的脑电图微状态是否表现出不同的激活。
方法：19例UTLE患者，12与BTLE，纳入15名健康对照。闭眼记录静息状态高密度脑电图（128通道）15分钟。我们获得了一组代表脑电图活动的稳定头皮图，命名为微型国家，从中我们获得了以下变量：全局解释方差(GEV)，平均持续时间(MD)，时间覆盖范围(TC)，和出现频率(FO)。双向重复测量方差分析用于比较组，和Spearman相关性被用来研究与临床和神经心理学数据相关的地图。
结果：BTLE和UTLE患者在大多数参数上显示出差异（GEV，MD,TC,与对照相比，四个微观状态图（A-D）的FO）。与UTLE和对照相比,具有BTLE的患者显示Map-A中的微状态的所有参数的显著增加和Map-D的降低。我们观察到Map-A之间的相关性，疾病持续时间,和空间短期记忆，而微态Map-D与整体智力评分和短期记忆表现相关。
结论：与对照组相比，在TLE患者中观察到神经动力学的整体改变。与UTLE相比，BTLE中发现了不同模式的EEG微状态异常，这可能代表了一种独特的生物标志物。
方法：19例UTLE患者，12与BTLE，纳入15名健康对照。闭眼记录静息状态高密度脑电图（128通道）15分钟。我们获得了一组代表脑电图活动的稳定头皮图，命名为微型国家，从中我们获得了以下变量：全局解释方差(GEV)，平均持续时间(MD)，时间覆盖范围(TC)，和出现频率(FO)。双向重复测量方差分析用于比较组，和Spearman相关性被用来研究与临床和神经心理学数据相关的地图。
结果：BTLE和UTLE患者在大多数参数上显示出差异（GEV，MD,TC,与对照相比，四个微观状态图（A-D）的FO）。与UTLE和对照相比,具有BTLE的患者显示Map-A中的微状态的所有参数的显著增加和Map-D的降低。我们观察到Map-A之间的相关性，疾病持续时间,和空间短期记忆，而微态Map-D与整体智力评分和短期记忆表现相关。
结论：与对照组相比，在TLE患者中观察到神经动力学的整体改变。与UTLE相比，BTLE中发现了不同模式的EEG微状态异常，这可能代表了一种独特的生物标志物。
