BrainQuake
BrainQuake processes multimodal neurodata for intracranial stereoelectroencephalography (SEEG) to perform brain surface reconstruction, electrode contact localization, automated SEEG preprocessing and analysis, and seizure onset zone (SOZ) prediction for presurgical evaluation of epilepsy.
Key Features:
- End-to-End Workflow Solution: Integrates brain surface reconstruction, electrode contact localization, and SEEG data analysis into a unified processing workflow.
- Surface Reconstruction: Produces detailed cortical surface models for anatomical reference and mapping.
- Electrode Localization: Precisely determines positions of SEEG electrodes and contacts within brain anatomy.
- SEEG Preprocessing and Analysis: Implements automated and standardized preprocessing pipelines and SEEG data analysis.
- SOZ Prediction: Predicts seizure onset zones using both ictal and inter-ictal SEEG data.
- Remote Execution and Data Management: Supports remote execution leveraging high-performance computing resources and data curation management.
Scientific Applications:
- Neurosurgical Planning: Localizes electrodes and analyzes SEEG to identify epileptogenic zones and inform surgical intervention decisions for seizure control.
- Epilepsy Research and Large-Scale Studies: Provides automated, reproducible processing to support scalable analysis of SEEG datasets and comparative studies.
Methodology:
Computational methods explicitly include brain surface reconstruction, electrode contact localization, automated SEEG preprocessing and analysis, and SOZ prediction using ictal and inter-ictal SEEG data, with optional remote execution on high-performance computing resources and data curation management.
Topics
Details
- License:
- Apache-2.0
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 6/9/2022
- Last Updated:
- 6/9/2022
Operations
Publications
Cai F, Wang K, Zhao T, Wang H, Zhou W, Hong B. BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis. Frontiers in Neuroinformatics. 2022;15. doi:10.3389/fninf.2021.773890. PMID:35069168. PMCID:PMC8782204.