Archila-Meléndez Mario E, Valente Giancarlo, Gommer Erik D, Correia João M, Ten Oever Sanne, Peters Judith C, Reithler Joel, Hendriks Marc P H, Cornejo Ochoa William, Schijns Olaf E M G, Dings Jim T A, Hilkman Danny M W, Rouhl Rob P W, Jansma Bernadette M, van Kranen-Mastenbroek Vivianne H J M, Roberts Mark J
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
Center for Integrative Neuroscience (CIN), Maastricht University, Maastricht, Netherlands.
Front Hum Neurosci. 2020 Dec 21;14:555054. doi: 10.3389/fnhum.2020.555054. eCollection 2020.
About one third of patients with epilepsy have seizures refractory to the medical treatment. Electrical stimulation mapping (ESM) is the gold standard for the identification of "eloquent" areas prior to resection of epileptogenic tissue. However, it is time-consuming and may cause undesired side effects. Broadband gamma activity (55-200 Hz) recorded with extraoperative electrocorticography (ECoG) during cognitive tasks may be an alternative to ESM but until now has not proven of definitive clinical value. Considering their role in cognition, the alpha (8-12 Hz) and beta (15-25 Hz) bands could further improve the identification of eloquent cortex. We compared gamma, alpha and beta activity, and their combinations for the identification of eloquent cortical areas defined by ESM. Ten patients with intractable focal epilepsy (age: 35.9 ± 9.1 years, range: 22-48, 8 females, 9 right handed) participated in a delayed-match-to-sample task, where syllable sounds were compared to visually presented letters. We used a generalized linear model (GLM) approach to find the optimal weighting of each band for predicting ESM-defined categories and estimated the diagnostic ability by calculating the area under the receiver operating characteristic (ROC) curve. Gamma activity increased more in eloquent than in non-eloquent areas, whereas alpha and beta power decreased more in eloquent areas. Diagnostic ability of each band was close to 0.7 for all bands but depended on multiple factors including the time period of the cognitive task, the location of the electrodes and the patient's degree of attention to the stimulus. We show that diagnostic ability can be increased by 3-5% by combining gamma and alpha and by 7.5-11% when gamma and beta were combined. We then show how ECoG power modulation from cognitive testing can be used to map the probability of eloquence in individual patients and how this probability map can be used in clinical settings to optimize ESM planning. We conclude that the combination of gamma and beta power modulation during cognitive testing can contribute to the identification of eloquent areas prior to ESM in patients with refractory focal epilepsy.
约三分之一的癫痫患者发作难以通过药物治疗控制。在切除致痫组织之前,电刺激图谱(ESM)是识别“明确功能”区域的金标准。然而,它耗时且可能产生不良副作用。在认知任务期间,通过术中皮层脑电图(ECoG)记录的宽带伽马活动(55 - 200赫兹)可能是ESM的替代方法,但到目前为止尚未证明具有明确的临床价值。考虑到它们在认知中的作用,阿尔法(8 - 12赫兹)和贝塔(15 - 25赫兹)频段可能进一步改善对明确功能皮层的识别。我们比较了伽马、阿尔法和贝塔活动及其组合,以识别由ESM定义的明确功能皮层区域。10例难治性局灶性癫痫患者(年龄:35.9±9.1岁,范围:22 - 48岁,8名女性,9名右利手)参与了一个延迟匹配样本任务,其中将音节声音与视觉呈现的字母进行比较。我们使用广义线性模型(GLM)方法来找到每个频段用于预测ESM定义类别的最佳权重,并通过计算受试者操作特征(ROC)曲线下的面积来估计诊断能力。在明确功能区域,伽马活动的增加比非明确功能区域更多,而在明确功能区域,阿尔法和贝塔功率的下降更多。所有频段的每个频段的诊断能力都接近0.7,但取决于多个因素,包括认知任务的时间段、电极位置以及患者对刺激的关注程度。我们表明,通过组合伽马和阿尔法,诊断能力可提高3 - 5%,当伽马和贝塔组合时,诊断能力可提高7.5 - 11%。然后我们展示了如何将认知测试中的ECoG功率调制用于绘制个体患者中明确功能的概率图,以及如何在临床环境中使用此概率图来优化ESM规划。我们得出结论,认知测试期间伽马和贝塔功率调制的组合有助于在难治性局灶性癫痫患者中进行ESM之前识别明确功能区域。