Jann Kay, Wiest Roland, Hauf Martinus, Meyer Klaus, Boesch Chris, Mathis Johannes, Schroth Gerhard, Dierks Thomas, Koenig Thomas
Department of Psychiatric Neurophysiology, University Hospital of Psychiatry, University of Bern, Bern, Switzerland.
Neuroimage. 2008 Aug 15;42(2):635-48. doi: 10.1016/j.neuroimage.2008.05.001. Epub 2008 May 8.
Combined EEG/fMRI recordings offer a promising opportunity to detect brain areas with altered BOLD signal during interictal epileptic discharges (IEDs). These areas are likely to represent the irritative zone, which is itself a reflection of the epileptogenic zone. This paper reports on the imaging findings using independent component analysis (ICA) to continuously quantify epileptiform activity in simultaneously acquired EEG and fMRI. Using ICA derived factors coding for the epileptic activity takes into account that epileptic activity is continuously fluctuating with each spike differing in amplitude, duration and maybe topography, including subthreshold epileptic activity besides clear IEDs and may thus increase the sensitivity and statistical power of combined EEG/fMRI in epilepsy. Twenty patients with different types of focal and generalized epilepsy syndromes were investigated. ICA separated epileptiform activity from normal physiological brain activity and artifacts. In 16/20 patients, BOLD correlates of epileptic activity matched the EEG sources, the clinical semiology, and, if present, the structural lesions. In clinically equivocal cases, the BOLD correlates aided to attribute proper diagnosis of the underlying epilepsy syndrome. Furthermore, in one patient with temporal lobe epilepsy, BOLD correlates of rhythmic delta activity could be employed to delineate the affected hippocampus. Compared to BOLD correlates of manually identified IEDs, the sensitivity was improved from 50% (10/20) to 80%. The ICA EEG/fMRI approach is a safe, non-invasive and easily applicable technique, which can be used to identify regions with altered hemodynamic effects related to IEDs as well as intermittent rhythmic discharges in different types of epilepsy.
脑电图/功能磁共振成像(EEG/fMRI)联合记录为检测发作间期癫痫放电(IED)期间脑血流动力学信号(BOLD)改变的脑区提供了一个很有前景的机会。这些脑区可能代表了激惹区,而激惹区本身就是致痫区的一种反映。本文报道了利用独立成分分析(ICA)对同时采集的脑电图和功能磁共振成像中的癫痫样活动进行连续量化的成像结果。使用ICA推导的编码癫痫活动的因子,考虑到癫痫活动是持续波动的,每个棘波在幅度、持续时间以及可能的拓扑结构上都有所不同,包括除明显的IED之外的阈下癫痫活动,因此可能会提高EEG/fMRI联合检测癫痫的敏感性和统计效能。对20例不同类型局灶性和全身性癫痫综合征患者进行了研究。ICA将癫痫样活动与正常生理性脑活动及伪迹区分开来。在20例患者中的16例中,癫痫活动的BOLD相关性与脑电图来源、临床症状学以及(如果存在的话)结构病变相匹配。在临床诊断不明确的病例中,BOLD相关性有助于对潜在的癫痫综合征做出正确诊断。此外,在1例颞叶癫痫患者中,节律性δ活动的BOLD相关性可用于描绘受影响的海马体。与手动识别的IED的BOLD相关性相比,敏感性从50%(10/20)提高到了80%。ICA EEG/fMRI方法是一种安全、无创且易于应用的技术,可用于识别与IED相关的血流动力学效应改变的区域以及不同类型癫痫中的间歇性节律性放电。