SEEG, MRI, CT for BrainQuake analysis

SEEG data, MRI T1 image, and CT image for the results in "BrainQuake: an open-source Python toolbox for Stereo-EEG analysis". Intracranial stereo-electroencephalography (SEEG) is broadly used in pre-surgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high spatial resolution within suspected epileptogenic zones. Neurosurgeons or technicians should face the challenge of conducting a workflow of post-processing operations with multi-modal data (e.g. MRI, CT, EEG) after implantation surgery. BrainQuake, an open-source Python software, integrates modules and pipelines in surface reconstruction, electrode localization, ictal and inter-ictal SEEG analysis, and final visualizations, each of which is highly automated with a user-friendly graphical user interface (GUI).本数据集包含用于《BrainQuake：一款面向立体脑电图分析的开源Python工具箱》相关研究结果的立体脑电图（Stereo-EEG，简称SEEG）数据、磁共振T1加权成像（MRI T1）数据以及计算机断层扫描（CT）图像。颅内立体脑电图（Intracranial Stereo-EEG，简称SEEG）凭借其在神经活动记录中优异的时间分辨率，以及在疑似致痫灶区域内的高空间分辨率，被广泛应用于难治性癫痫的术前评估。神经外科医师与技术人员在电极植入术后，常需针对多模态数据（如磁共振成像、计算机断层扫描、脑电图）开展一系列后处理操作流程，这一过程颇具挑战。BrainQuake作为一款开源Python软件，整合了表面重建、电极定位、发作期与发作间期SEEG分析以及最终可视化等模块与处理流水线，各模块均配备易用的图形用户界面（GUI），实现了高度自动化操作。