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使用基于变形模型的分析联合 EEG 和功能磁共振成像记录对与癫痫发作间期活动相关的血流动力学模式进行特征描述。

Characterization of the hemodynamic modes associated with interictal epileptic activity using a deformable model-based analysis of combined EEG and functional MRI recordings.

机构信息

INSERM, U, Grenoble Institut des Neurosciences, France.

出版信息

Hum Brain Mapp. 2010 Aug;31(8):1157-73. doi: 10.1002/hbm.20925.

Abstract

Simultaneous electroencephalography and functional magnetic resonance imaging (EEG/fMRI) have been proposed to contribute to the definition of the epileptic seizure onset zone. Following interictal epileptiform discharges, one usually assumes a canonical hemodynamic response function (HRF), which has been derived from fMRI studies in healthy subjects. However, recent findings suggest that the hemodynamic properties of the epileptic brain are likely to differ significantly from physiological responses. Here, we propose a simple and robust approach that provides HRFs, defined as a limited set of gamma functions, optimized so as to elicit strong activations after standard model-driven statistical analysis at the single subject level. The method is first validated on healthy subjects using experimental data acquired during motor, visual and memory encoding tasks. Second, interictal EEG/fMRI data measured in 10 patients suffering from epilepsy are analyzed. Results show dramatic changes of activation patterns, depending on whether physiological or pathological assumptions are made on the hemodynamics of the epileptic brain. Our study suggests that one cannot assume a priori that HRFs in epilepsy are similar to the canonical model. This may explain why a significant fraction of EEG/fMRI exams in epileptic patients are inconclusive after standard data processing. The heterogeneous perfusion in epileptic regions indicates that the properties of brain vasculature in epilepsy deserve careful attention.

摘要

同时进行脑电图和功能磁共振成像(EEG/fMRI)被提议有助于确定癫痫发作起始区。在发作间期癫痫样放电之后,通常假设一个典型的血液动力学响应函数(HRF),该函数是从健康受试者的 fMRI 研究中得出的。然而,最近的研究结果表明,癫痫大脑的血液动力学特性可能与生理反应有很大的不同。在这里,我们提出了一种简单而稳健的方法,提供了 HRF,定义为一组有限的伽马函数,经过优化,可以在单个体水平上进行标准的基于模型的统计分析后产生强烈的激活。该方法首先使用在运动、视觉和记忆编码任务中采集的健康受试者的实验数据进行验证。其次,分析了 10 名患有癫痫的患者的发作间期 EEG/fMRI 数据。结果表明,根据对癫痫大脑血液动力学的生理或病理假设,激活模式会发生剧烈变化。我们的研究表明,不能先验地假设癫痫中的 HRF 与标准模型相似。这可能解释了为什么在标准数据处理后,相当一部分癫痫患者的 EEG/fMRI 检查结果不确定。癫痫区域的灌注不均一表明,癫痫中脑血管的特性值得仔细关注。

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本文引用的文献

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Event-related f MRI.事件相关 fMRI。
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