Intracranial EEG Electrode Placement for Epileptogenic Zone Localization
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Solution Overview
Problem
The challenge in identifying epileptogenic zones in epileptic patients' brains is the lack of an effective implantation scheme for electroencephalographic electrodes, which can lead to sparse information on brain activity and pose the 'missing electrode problem', where relevant neural activity is missed, and not every brain area can be sampled due to surgical constraints and risks.
Innovation Solution
A method and system that optimize the intracranial implantation scheme of electroencephalographic electrodes by using a personalized computerized platform with models of epileptogenic zones and propagation zones, simulating seizures, and determining an optimized implantation scheme based on simulated electroencephalographic signals using metrics like power density spectrum.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of electrodes is increased to improve coverage of brain areas, then measurement precision is improved, but device complexity and surgical risk increase
Solution Approach 1:
The patent performs preliminary simulation of seizure propagation and electrode signal acquisition before actual implantation. By using a personalized brain model and forward model, the system predicts which brain regions will be sampled by candidate electrode configurations, allowing optimization of electrode placement in silico before surgical implementation, thereby achieving precise localization with minimal electrodes.
2Loss of information
If more brain areas are sampled by increasing electrode number, then information completeness is improved, but surgical risk increases
Solution Approach 1:
The patent introduces a personalized brain model and forward model as intermediaries between the physical brain and electrode placement decisions. These computational models simulate seizure propagation and predict electrode signals, serving as a virtual testing ground to evaluate different implantation schemes without exposing the patient to additional surgical risks, thereby preserving complete information about brain activity patterns.
3Ease of operation
If electrode implantation is performed without optimization, then ease of operation is maintained, but measurement precision deteriorates due to missing electrode problem
Solution Approach 1:
The system performs self-evaluation by simulating the actual measurement process before implantation. The forward model computes what signals would be recorded by candidate electrode configurations, allowing the system to automatically identify and select the optimal implantation scheme that maximizes information about epileptogenic zones, thereby improving measurement precision while maintaining procedural simplicity through automated selection.
Data Source
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AI summary
The invention relates to a method of optimizing an intracranial implantation scheme of a set of electroencephalographic electrodes for identification of an epileptogenic zone in an epileptic patient's brain. This method comprises the steps of - providing a model of the epileptogenic zone and a model of the propagation of an epileptic discharge from said epileptic zone to a propagation zone, and loading said models in a computerized platform personalized according to the patient's brain; - providing at least one hypothesis of the localization of the epileptogenic zone in the patient brain; - for said at least hypothesis of the localization of the epileptogenic zone, simulating, in the personalized computerized patient's brain, epileptic seizures, and determining, for said hypothesis and epileptic seizures, a network of propagation zones; - for a plurality of intracranial implantation schemes of the electroencephalographic electrodes, obtaining, using the personalized computerized patient's brain, simulated electroencephalographic signals activity that is to be measured by the intracranial electrodes implanted according to said plurality of schemes; and - determining, from said plurality of intracranial implantation schemes, an optimized intracranial implantation scheme of the set of electroencephalographic electrodes.