Reconstruction of epilepsy-characteristic sources by means of a simultaneous evaluation of EEG- and MEG- data using calibrated realistic head models

通过使用校准的真实头部模型同时评估 EEG 和 MEG 数据来重建癫痫特征源

• 批准号: 287223832
• 负责人: Privatdozent Dr. Stefan Rampp
• 金额: --
• 依托单位: Neurochirurgische Klinik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/287223832?language=en
• 关键词: Reconstruction; epilepsy; characteristic; sources; means

The reconstruction of epilepsy-characteristic electric potentials and magnetic fields contributes already significantly to the identification of the epileptogenic zone for the therapy of pharmaco-resistant epilepsies. It is the main goal of this grant application to develop and optimize a new approach for the combined analysis of temporally and spatially highly resolving EEG and MEG as a basis for source analysis and to validate it in a group study with focal cortical dysplasia (FCD) patients who are scheduled for epilepsy surgery. Thereby, this new non-invasive method should be established as one of the standard procedures in presurgical epilepsy diagnosis. The new approach is based on hierarchical Bayesian modeling (HBM) for networks that also involve extended sources for the EEG and MEG inverse problem and on discontinuous Galerkin finite element method (DG-FEM) in individually-calibrated realistic head volume conductor models for the forward problem. For validation and evaluation we propose a multi-level strategy: First, the new methods will be validated in computer simulations. In a next step, reconstruction results of the new approach of evoked responses will be correlated with a registered anatomical atlas. Third, the combined EEG/MEG source analysis results of FCD-triggered epileptic activity will serve as a basis for the determination of regions of interest that are then further examined with novel zoomed magnetic resonance tomography (zoomed MRI) and correlated with the source analysis results. Finally, the results will be compared with other findings of presurgical evaluation and correlated to the resected brain volume and to the post-operative success with regard to seizure control in order to achieve an external validation of the reconstruction results.

癫痫特征性电位和磁场的重建对于确定耐药癫痫的致痫区具有重要意义。这项资助申请的主要目标是开发和优化一种新的方法，用于将时间和空间高度分辨的脑电图和脑磁图结合分析，作为来源分析的基础，并在一项针对局灶性皮质发育不良（FCD）患者的小组研究中进行验证。因此，这种新的无创方法应成为手术前癫痫诊断的标准程序之一。新方法基于分层贝叶斯建模（HBM）来解决脑电图和脑磁图的反问题，并基于不连续伽辽金有限元法（DG-FEM）来解决正问题。为了验证和评估，我们提出了一个多层次的策略：首先，新方法将在计算机模拟中进行验证。下一步，新的诱发反应方法的重建结果将与注册的解剖图谱相关联。第三，fcd诱发癫痫活动的EEG/MEG联合源分析结果将作为确定感兴趣区域的基础，然后用新型放大磁共振断层扫描（缩放MRI）进一步检查感兴趣区域，并与源分析结果相关联。最后，将结果与术前评估的其他结果进行比较，并与切除的脑容量和术后癫痫控制的成功进行关联，以获得重建结果的外部验证。

项目成果

A novel method for calibrating head models to account for variability in conductivity and its evaluation in a sphere model

• DOI: 10.1088/1361-6560/abc5aa
• 发表时间: 2020-10
• 期刊: Physics in Medicine & Biology
• 影响因子: 3.5
• 作者: Sophie Schrader;M. Antonakakis;Stefan Rampp;Christian Engwer;Carsten H. Wolters

Inter-Subject Variability of Skull Conductivity and Thickness in Calibrated Realistic Head Models

• DOI: 10.1016/j.neuroimage.2020.117353
• 发表时间: 2020-12-01
• 期刊: NEUROIMAGE
• 影响因子: 5.7
• 作者: Antonakakis, Marios;Schrader, Sophie;Wolters, Carsten H.
• 通讯作者: Wolters, Carsten H.

The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component

• DOI: 10.1002/hbm.24754
• 发表时间: 2019-08-09
• 期刊: HUMAN BRAIN MAPPING
• 影响因子: 4.8
• 作者: Antonakakis, Marios;Schrader, Sophie;Wolters, Carsten H.
• 通讯作者: Wolters, Carsten H.

A realistic, accurate and fast source modeling approach for the EEG forward problem

• DOI: 10.1016/j.neuroimage.2018.08.054
• 发表时间: 2019-01-01
• 期刊: NEUROIMAGE
• 影响因子: 5.7
• 作者: Miinalainen, Tuuli;Rezaei, Atena;Pursiainen, Sampsa
• 通讯作者: Pursiainen, Sampsa

A DISCONTINUOUS GALERKIN METHOD TO SOLVE THE EEG FORWARD PROBLEM USING THE SUBTRACTION APPROACH

• DOI: 10.1137/15m1048392
• 发表时间: 2017-01-01
• 期刊: SIAM JOURNAL ON SCIENTIFIC COMPUTING
• 影响因子: 3.1
• 作者: Engwer, Christian;Vorwerk, Johannes;Wolters, Carsten H.
• 通讯作者: Wolters, Carsten H.