Academic Journal

BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis

التفاصيل البيبلوغرافية
العنوان: BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis
المؤلفون: Fang Cai, Kang Wang, Tong Zhao, Haixiang Wang, Wenjing Zhou, Bo Hong
المصدر: Frontiers in Neuroinformatics, Vol 15 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: epilepsy, stereoelectroencephalography, electrode localization, Epileptogenicity Index, interictal high-frequency oscillation, Hough Transform, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical 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 face the challenge of conducting a workflow of post-processing operations with the multimodal data (e.g., MRI, CT, and EEG) after the implantation surgery, such as brain surface reconstruction, electrode contact localization, and SEEG data analysis. Several software or toolboxes have been developed to take one or more steps in the workflow but without an end-to-end solution. In this study, we introduced BrainQuake, an open-source Python software for the SEEG spatiotemporal analysis, integrating modules and pipelines in surface reconstruction, electrode localization, seizure onset zone (SOZ) prediction based on ictal and interictal SEEG analysis, and final visualizations, each of which is highly automated with a user-friendly graphical user interface (GUI). BrainQuake also supports remote communications with a public server, which is facilitated with automated and standardized preprocessing pipelines, high-performance computing power, and data curation management to provide a time-saving and compatible platform for neurosurgeons and researchers.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1662-5196
Relation: https://www.frontiersin.org/articles/10.3389/fninf.2021.773890/full; https://doaj.org/toc/1662-5196
DOI: 10.3389/fninf.2021.773890
URL الوصول: https://doaj.org/article/7e2601e0e7244cf3bddee473d328b77f
رقم الانضمام: edsdoj.7e2601e0e7244cf3bddee473d328b77f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16625196
DOI:10.3389/fninf.2021.773890