Wang Huifang E, Scholly Julia, Triebkorn Paul, Sip Viktor, Medina Villalon Samuel, Woodman Marmaduke M, Le Troter Arnaud, Guye Maxime, Bartolomei Fabrice, Jirsa Viktor
Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France; Epileptology Department, and Clinical Neurophysiology Department, Assistance Publique des Hôpitaux de Marseille, Marseille, France.
J Neurosci Methods. 2021 Jan 15;348:108983. doi: 10.1016/j.jneumeth.2020.108983. Epub 2020 Oct 24.
Several automated parcellation atlases of the human brain have been developed over the past decades, based on various criteria, and have been applied in basic and clinical research.
Here we present the Virtual Epileptic Patient (VEP) atlas that offers a new automated brain region parcellation and labeling, which has been developed for the specific use in the domains of epileptology and functional neurosurgery and is able to apply at individual patient's level.
It comprises 162 brain regions, including 73 cortical and 8 subcortical regions per hemisphere. We demonstrate the successful application of the VEP atlas in a cohort of 50 retrospective patients. The structural organization is complemented by the functional variation of stereotactic intracerebral EEG (SEEG) signal data features establishing brain region-specific 3d-maps.
The VEP atlas integrates both anatomical and functional definitions in the same atlas, adapted to applications for epilepsy patients and individualizable.
The covariation of structural and functional organization is the basis for current efforts of patient-specific large-scale brain network modeling exploiting virtual brain technologies for the identification of the epileptogenic regions in an ongoing prospective clinical trial EPINOV.
在过去几十年里，基于各种标准开发了几种人脑自动分割图谱，并已应用于基础研究和临床研究。
在此，我们展示了虚拟癫痫患者（VEP）图谱，它提供了一种新的自动脑区分割和标记方法，是为癫痫学和功能神经外科领域的特定用途而开发的，并且能够应用于个体患者层面。
它包括162个脑区，每个半球包括73个皮质区和8个皮质下区。我们展示了VEP图谱在50例回顾性患者队列中的成功应用。立体定向脑内脑电图（SEEG）信号数据特征的功能变化补充了结构组织，建立了脑区特异性三维图谱。
VEP图谱在同一图谱中整合了解剖学和功能定义，适用于癫痫患者的应用且可个体化。
结构和功能组织的协变是当前利用虚拟脑技术进行患者特异性大规模脑网络建模以在正在进行的前瞻性临床试验EPINOV中识别致痫区域的基础。
