EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model.

EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model.
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DOI:
10.1016/j.neuroimage.2008.09.009
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发表时间:
2009-01-15
期刊:
影响因子:
5.7
通讯作者:
Wolters CH
Wolters CH
中科院分区:
医学1区
文献类型:
--
作者:
Rullmann M;Anwander A;Dannhauer M;Warfield SK;Duffy FH;Wolters CH

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对难治性患者进行术前癫痫诊断评估的主要目标是精确重建致痫灶,最好采用非侵入性方法。本文评估基于 1mm 各向异性有限元 (FE) 头部模型的表面脑电图 (EEG) 源分析是否可以为术前癫痫诊断提供额外指导,以及在日常工作中是否切实可行。使用非线性联合配准 T1、T2 和扩散张量磁共振成像数据构建了患者头部 1 毫米六面体 FE 体积导体模型,特别注重精确建模颅骨、脑脊液 (CSF) 和各向异性传导脑组织。颅内脑电图 (iEEG) 测量的电极是从共同配准的计算机断层扫描图像中提取的。然后将目标函数扫描(GFS)、最小范数最小二乘法(MNLS)、标准化低分辨率电磁断层扫描(sLORETA)和时空电流偶极子建模逆方法应用于平均发作放电脑电图数据的峰值。 MNLS 和 sLORETA 指向单一的活动中心。移动和旋转单偶极子拟合导致解释方差超过 97%。非侵入性EEG源分析方法定位于病变边界和主要接收发作放电的iEEG电极边界。源方向朝向致癫痫组织。对于重建的浅表源,脑电导率各向异性和病变电导率只有很小的影响,而高导脑脊液室和各向异性颅骨的正确建模被发现很重要。所提出的 FE 正向建模方法极大地简化了网格划分并减少了运行时间(在具有 310 万个未知数的模型中,一次正向计算只需 37 毫秒),证实了该方法的实际可行性。
The major goal of the evaluation in presurgical epilepsy diagnosis for medically intractable patients is the precise reconstruction of the epileptogenic foci, preferably with non-invasive methods. This paper evaluates whether surface electroencephalography (EEG) source analysis based on a 1mm anisotropic finite element (FE) head model can provide additional guidance for presurgical epilepsy diagnosis and whether it is practically feasible in daily routine. A 1mm hexahedra FE volume conductor model of the patient’s head with special focus on accurately modeling the compartments skull, cerebrospinal fluid (CSF) and the anisotropic conducting brain tissues was constructed using non-linearly co-registered T1-, T2- and diffusion-tensor- magnetic resonance imaging data. The electrodes of intra-cranial EEG (iEEG) measurements were extracted from a co-registered computed tomography image. Goal function scan (GFS), minimum norm least squares (MNLS), standardized low resolution electromagnetic tomography (sLORETA) and spatio-temporal current dipole modeling inverse methods were then applied to the peak of the averaged ictal discharges EEG data. MNLS and sLORETA pointed to a single center of activity. Moving and rotating single dipole fits resulted in an explained variance of more than 97%. The non-invasive EEG source analysis methods localized at the border of the lesion and at the border of the iEEG electrodes which mainly received ictal discharges. Source orientation was towards the epileptogenic tissue. For the reconstructed superficial source, brain conductivity anisotropy and the lesion conductivity had only a minor influence, whereas a correct modeling of the highly conducting CSF compartment and the anisotropic skull was found to be important. The proposed FE forward modeling approach strongly simplifies meshing and reduces run-time (37 Milliseconds for one forward computation in the model with 3.1 Million unknowns), corroborating the practical feasibility of the approach.
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期刊: JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子: --
作者:
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