3D Neurological Activity Modeling for Epilepsy Surgery Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying and surgically removing the epileptogenic zone in epilepsy treatment are challenging due to the complexity of electrode placement, leading to inaccurate data, surgical errors, and high risks of complications, particularly for inexperienced surgeons, resulting in underutilization of surgical interventions.
Innovation Solution
A system that uses a computer and display to model neurological activity by receiving EEG data, generating a graphical brain model, converting EEG data into a visual representation, and integrating it with the brain model for accurate visualization and interaction, aided by AI algorithms for optimal electrode placement and seizure localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard SEEG electrode implantation method is used, then seizure localization can be achieved, but electrode placement is time-consuming and technically complex leading to surgical errors and complications
Solution Approach 1:
The system performs preliminary 3D visualization and planning of electrode trajectories before surgery using patient-specific anatomical data. Surgeons can simulate and optimize electrode placement paths in advance, identifying optimal entry points and avoiding critical structures, which reduces intraoperative complexity and improves placement accuracy.
Solution Approach 2:
The patent introduces an intermediate 3D visualization system that acts as a mediator between raw imaging data and surgical decision-making. This intermediary tool integrates multiple imaging modalities and provides intuitive spatial representation, reducing the cognitive load and technical complexity for surgeons while improving localization precision.
2Reliability
If multiple surgical procedures are performed to completely remove the epileptogenic zone, then seizure control may be achieved, but patient trauma increases and treatment time extends
Solution Approach 1:
The system enables comprehensive preoperative planning with 3D visualization of the epileptogenic zone and its relationship to surrounding functional areas. This allows surgeons to design optimal resection boundaries in advance, ensuring complete removal of seizure-generating tissue while preserving critical functions, thereby reducing the need for repeat surgeries.
Solution Approach 2:
The patent incorporates intraoperative monitoring and real-time feedback mechanisms that allow surgeons to verify complete resection of the epileptogenic zone during the procedure. This immediate feedback ensures seizure control is achieved in a single surgery rather than requiring multiple procedures over time.
3Measurement precision
If inexperienced surgeons perform SEEG electrode implantation, then surgical errors and complications increase, but training and experience take time
Solution Approach 1:
The 3D visualization system serves as an intermediary guide that provides real-time spatial orientation and trajectory verification during electrode implantation. This tool compensates for lack of surgeon experience by providing intuitive visual feedback and anatomical references, making the procedure more accessible to less experienced surgeons while maintaining placement accuracy.
Solution Approach 2:
The patent replaces reliance on surgeon expertise and manual spatial reasoning with an automated 3D imaging and navigation system. This substitution of mechanical/skill-based processes with technological assistance reduces the impact of surgeon inexperience and standardizes the quality of electrode placement across different skill levels.
Data Source
AI summary
A system for modeling neurological activity includes a computer having one or more processors, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices. The program instructions are configured to receive electroencephalogram (“EEG”) data generated by an EEG device coupled to a plurality of electrodes disposed on a brain, the EEG data comprising a plurality of waveforms representative of electrical activity detected by the plurality of electrodes over a period of time; generate a graphical brain model representative of the brain; to convert the EEG data into a graphical EEG model representative of electrical activity; integrate the EEG model with the brain model, thereby enabling visualization of and interaction with the EEG model within the context of the brain model; and communicate the integrated EEG and brain model to a display.