Abstract
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.
Highlights
30% of the patients with epilepsy eventually become intractable patients resistant to antiepileptic drugs (Kwan and Brodie, 2000)
We processed all four functional modules using the MRI/CT images and the SEEG data acquired from 8 epilepsy patients
With the prevalence of SEEG recording in recent years, a large number of neurodata have been generated while researchers are exploring a way to make the best use of it
Summary
30% of the patients with epilepsy eventually become intractable patients resistant to antiepileptic drugs (Kwan and Brodie, 2000). SEEG aims at identifying the epileptogenic zones (EZs; Rosenow and Lüders, 2001) in the suspicious area of the brain of an individual by implanting depth electrodes and capturing the abnormal neural activities, followed by a resection or thermocoagulation surgery (Cossu et al, 2015; Wang et al, 2020). During this procedure, a large number of neurodata with multiple modalities occur.
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