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IntrAnat Electrodes: A Free Database and Visualization Software for Intracranial Electroencephalographic Data
Pierre Deman1,2, Manik Bhattacharjee1,2, François Tadel1,2
1Inserm, U1216, Grenoble Institut des Neurosciences (GIN), Grenoble, France.
This study introduces IntrAnat Electrodes software for virtual SEEG electrode implantation, aiding epilepsy surgery planning and group studies by integrating multimodal patient data for enhanced neuroanatomical analysis.
Area of Science:
- Neuroscience
- Medical Imaging
- Computational Biology
Background:
- Intracranial recordings like electrocorticography (ECoG) and stereoelectroencephalography (SEEG) are crucial for localizing seizure onset zones and eloquent cortex in pharmaco-resistant epilepsies.
- Current SEEG spatial coverage is limited and patient-specific, necessitating large patient cohorts for group studies, often achieved through multicentric approaches.
- Analyzing and integrating multimodal data from SEEG, including functional and anatomical imaging, presents significant challenges for group-level research.
Purpose of the Study:
- To develop and present the IntrAnat Electrodes software for virtual SEEG electrode implantation and multimodal data integration.
- To facilitate group studies in epilepsy research by enabling standardized analysis of patient-specific SEEG data.
- To enhance the visualization and searchability of complex neuroanatomical and functional data from SEEG recordings.
Main Methods:
- Development of the IntrAnat Electrodes software, integrating patient neuroanatomy with virtual electrode implantation.
- Coregistration of multiple imaging modalities including PET, anatomical MRI (pre/post-implantation, post-resection), fMRI, dMRI, and CT.
- Segmentation and spatial normalization of pre-implantation MRI to create cortical parcels, followed by 3D electrode model placement and contact labeling based on anatomical atlases and tissue types.
Main Results:
- The IntrAnat Electrodes software allows virtual implantation of SEEG electrodes and visualization of multimodal data (epileptic/functional mapping, resection masks).
- Each electrode contact can be labeled with anatomical location, tissue class, and functional information (e.g., clinical response, epileptogenicity).
- A patient database with multiple search criteria enables efficient retrieval of features across diverse patient data, a unique capability in current SEEG software.
Conclusions:
- IntrAnat Electrodes software provides a comprehensive platform for visualizing and analyzing complex SEEG data, facilitating advanced group studies in epilepsy.
- The software's database search functionality significantly enhances the ability to explore patient cohorts based on detailed anatomical and functional criteria.
- This tool is expected to advance research in pharmaco-resistant epilepsies by improving the integration and analysis of patient-specific intracranial recordings.
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