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多模态有效连接性分析揭示音乐性癫痫中的癫痫病灶及传播。

Multimodal effective connectivity analysis reveals seizure focus and propagation in musicogenic epilepsy.

作者信息

Klamer Silke, Rona Sabine, Elshahabi Adham, Lerche Holger, Braun Christoph, Honegger Jürgen, Erb Michael, Focke Niels K

机构信息

Department of Neurology and Epileptology, Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany; MEG Center, University of Tuebingen, Tuebingen, Germany.

Department of Neurosurgery, University of Tuebingen, Tuebingen, Germany.

出版信息

Neuroimage. 2015 Jun;113:70-7. doi: 10.1016/j.neuroimage.2015.03.027. Epub 2015 Mar 20.

Abstract

Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivity between brain regions. 'Musicogenic epilepsy' is a rare reflex epilepsy syndrome in which seizures can be elicited by musical stimuli and thus represents a unique possibility to investigate complex human brain networks and test connectivity analysis tools. We investigated effective connectivity in a case of musicogenic epilepsy using DCM for fMRI, high-density (hd-) EEG and MEG and validated results with intracranial EEG recordings. A patient with musicogenic seizures was examined using hd-EEG/fMRI and simultaneous '256-channel hd-EEG'/'whole head MEG' to characterize the epileptogenic focus and propagation effects using source analysis techniques and DCM. Results were validated with invasive EEG recordings. We recorded one seizure with hd-EEG/fMRI and four auras with hd-EEG/MEG. During the seizures, increases of activity could be observed in the right mesial temporal region as well as bilateral mesial frontal regions. Effective connectivity analysis of fMRI and hd-EEG/MEG indicated that right mesial temporal neuronal activity drives changes in the frontal areas consistently in all three modalities, which was confirmed by the results of invasive EEG recordings. Seizures thus seem to originate in the right mesial temporal lobe and propagate to mesial frontal regions. Using DCM for fMRI, hd-EEG and MEG we were able to correctly localize focus and propagation of epileptic activity and thereby characterize the underlying epileptic network in a patient with musicogenic epilepsy. The concordance between all three functional modalities validated by invasive monitoring is noteworthy, both for epileptic activity spread as well as for effective connectivity analysis in general.

摘要

动态因果模型(DCM)是一种用于非侵入性评估脑区之间有效连接性的方法。“音乐性癫痫”是一种罕见的反射性癫痫综合征,其癫痫发作可由音乐刺激诱发,因此为研究复杂的人类脑网络和测试连接性分析工具提供了独特的契机。我们使用功能磁共振成像(fMRI)的DCM、高密度(hd-)脑电图(EEG)和脑磁图(MEG)对一例音乐性癫痫患者的有效连接性进行了研究,并通过颅内EEG记录对结果进行了验证。对一名患有音乐性癫痫发作的患者进行了hd-EEG/fMRI检查以及同步的“256通道hd-EEG”/“全脑MEG”检查,以利用源分析技术和DCM来确定致痫灶并表征其传播效应。结果通过侵入性EEG记录进行了验证。我们用hd-EEG/fMRI记录到一次癫痫发作,用hd-EEG/MEG记录到四次先兆。在癫痫发作期间,右侧颞叶内侧区域以及双侧额叶内侧区域的活动增强。fMRI和hd-EEG/MEG的有效连接性分析表明,在所有三种模式下,右侧颞叶内侧神经元活动均一致地驱动额叶区域的变化,这一结果得到了侵入性EEG记录的证实。因此,癫痫发作似乎起源于右侧颞叶内侧,并传播至额叶内侧区域。通过对fMRI、hd-EEG和MEG使用DCM,我们能够正确定位癫痫活动的病灶和传播途径,从而表征一名音乐性癫痫患者潜在的癫痫网络。通过侵入性监测验证的所有三种功能模式之间的一致性,无论是对于癫痫活动的传播还是一般的有效连接性分析而言,都值得关注。

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