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An Intracranial Electroencephalography (iEEG) Brain Function Mapping Tool with an Application to Epilepsy Surgery
Yinghua Wang1, Jiaqing Yan2, Jianbin Wen1
1State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal UniversityBeijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal UniversityBeijing, China.
A new Brain Function Mapping (BFM) Tool simplifies visualizing intracranial electroencephalography (iEEG) electrode positions and brain functions for epilepsy surgery planning. This clinical tool enhances surgical precision and patient outcomes.
Area of Science:
- Neurosurgery
- Medical Imaging
- Computational Neuroscience
Background:
- Intracranial electroencephalography (iEEG) is crucial for epilepsy surgery, aiding in function mapping and identifying the epileptogenic zone.
- Current clinical workflows lack a dedicated, user-friendly tool for registering iEEG electrode positions and visualizing brain function mapping (BFM).
- This gap hinders efficient surgical planning and precise resection of seizure-generating areas.
Purpose of the Study:
- To develop and validate a novel Brain Function Mapping (BFM) Tool for clinical application in epilepsy surgery.
- To provide a convenient solution for electrode position registration and BFM visualization.
- To enhance the utility of iEEG data in surgical decision-making.
Main Methods:
- The BFM Tool integrates pre-defined brain models for electrode location registration and function mapping.
- It offers adjustable visualization parameters (node size/color, edge properties) via an intuitive setting panel.
- The software supports manual import/export of location and connectivity data for flexible analysis and figure generation.
Main Results:
- The BFM Tool enables clinicians and researchers to visualize implanted electrodes and brain functions efficiently.
- It provides an easy, quick, and flexible method for data interpretation.
- Demonstrated utility in a clinical case study for language area localization.
Conclusions:
- The developed BFM Tool offers convenient electrode registration and straightforward brain function visualization.
- It exhibits good performance, is clinically oriented, and easy to deploy and use.
- The tool is suitable for epilepsy surgery and other clinical iEEG applications.
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