Ruggieri Andrea, Vaudano Anna Elisabetta, Benuzzi Francesca, Serafini Marco, Gessaroli Giuliana, Farinelli Valentina, Nichelli Paolo Frigio, Meletti Stefano
Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, NOCSAE Hospital, ASL Modena, Italy.
Unit of Health Physics, ASL, I-41100 Modena, Italy.
J Neurosci Methods. 2015 Jan 15;239:223-37. doi: 10.1016/j.jneumeth.2014.10.005. Epub 2014 Oct 22.
During resting-state EEG-fMRI studies in epilepsy, patients' spontaneous head-face movements occur frequently. We tested the usefulness of synchronous video recording to identify and model the fMRI changes associated with non-epileptic movements to improve sensitivity and specificity of fMRI maps related to interictal epileptiform discharges (IED).
Categorization of different facial/cranial movements during EEG-fMRI was obtained for 38 patients [with benign epilepsy with centro-temporal spikes (BECTS, n=16); with idiopathic generalized epilepsy (IGE, n=17); focal symptomatic/cryptogenic epilepsy (n=5)]. We compared at single subject- and at group-level the IED-related fMRI maps obtained with and without additional regressors related to spontaneous movements. As secondary aim, we considered facial movements as events of interest to test the usefulness of video information to obtain fMRI maps of the following face movements: swallowing, mouth-tongue movements, and blinking.
Video information substantially improved the identification and classification of the artifacts with respect to the EEG observation alone (mean gain of 28 events per exam).
Inclusion of physiological activities as additional regressors in the GLM model demonstrated an increased Z-score and number of voxels of the global maxima and/or new BOLD clusters in around three quarters of the patients. Video-related fMRI maps for swallowing, mouth-tongue movements, and blinking were comparable to the ones obtained in previous task-based fMRI studies.
Video acquisition during EEG-fMRI is a useful source of information. Modeling physiological movements in EEG-fMRI studies for epilepsy will lead to more informative IED-related fMRI maps in different epileptic conditions.
在癫痫患者静息态脑电图-功能磁共振成像（EEG-fMRI）研究中，患者经常出现自发的头面部运动。我们测试了同步视频记录在识别和建模与非癫痫性运动相关的功能磁共振成像变化方面的作用，以提高与发作间期癫痫样放电（IED）相关的功能磁共振成像图谱的敏感性和特异性。
对38例患者[伴有中央颞区棘波的良性癫痫（BECTS，n = 16）；特发性全身性癫痫（IGE，n = 17）；局灶性症状性/隐源性癫痫（n = 5）]在EEG-fMRI期间的不同面部/颅骨运动进行分类。我们在单受试者水平和组水平上比较了有无与自发运动相关的额外回归变量时获得的与IED相关的功能磁共振成像图谱。作为次要目标，我们将面部运动视为感兴趣的事件，以测试视频信息在获取以下面部运动的功能磁共振成像图谱方面的作用：吞咽、口舌运动和眨眼。
与仅通过脑电图观察相比，视频信息显著改善了伪影的识别和分类（每次检查平均增加28个事件）。
在广义线性模型（GLM）中纳入生理活动作为额外回归变量，在约四分之三的患者中显示出全局最大值和/或新的血氧水平依赖（BOLD）簇的Z分数和体素数量增加。吞咽、口舌运动和眨眼的视频相关功能磁共振成像图谱与先前基于任务的功能磁共振成像研究中获得的图谱相当。
EEG-fMRI期间的视频采集是一个有用的信息来源。在癫痫的EEG-fMRI研究中对生理运动进行建模，将在不同癫痫情况下产生更具信息性的与IED相关的功能磁共振成像图谱。
