Virtual Brain Platform for Epileptogenic Zone Simulation
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Solution Overview
Problem
Current methods for identifying and modulating the epileptogenic zone in the brain of epileptic patients are limited by their stationary nature and lack of effective diagnostic tools, particularly in non-stationary processes such as seizure recruitment in epilepsy.
Innovation Solution
A method involving a virtual brain platform that models epileptogenic and propagation zones using mathematical models and acquired brain data, allowing for the simulation of network modulations to mimic clinical interventions and identify optimal therapeutic strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If stationary connectivity based metrics are used to model brain networks, then model validation is simplified, but the model cannot capture non-stationary processes such as seizure recruitment and resting state dynamics
Solution Approach 1:
The patent implements dynamic connectivity metrics that evolve over time, replacing static connectivity measures. The model incorporates time-varying parameters that adapt to capture non-stationary brain states including seizure recruitment dynamics and resting state fluctuations, enabling the system to model transient neurological conditions while maintaining computational tractability through efficient temporal sampling strategies
2Reliability
If comprehensive diagnostic testing and personalized treatment planning are implemented, then treatment effectiveness is improved, but time and resource consumption increase
Solution Approach 1:
The patent performs preliminary virtual simulations of various surgical interventions and treatment strategies on patient-specific brain models before actual clinical procedures. By pre-testing multiple treatment scenarios in silico, the system identifies optimal treatment approaches in advance, reducing the need for extensive trial-and-error in the clinic and accelerating the personalized treatment planning process while maintaining high treatment effectiveness
3Measurement precision
If the epileptogenic zone is precisely identified and modulated, then surgical outcomes are improved, but the complexity of identification and intervention planning increases
Solution Approach 1:
The patent creates a virtual copy of the patient's brain network model that replicates the structural and functional connectivity of the actual brain. This digital twin allows for non-invasive simulation of seizure propagation patterns and virtual surgical interventions, enabling precise epileptogenic zone identification through computational analysis without requiring complex invasive procedures or interpretation of complex clinical data by physicians
Data Source
AI summary
The method of modulating epileptogenicity in a brain of an epileptic patient includes: providing a virtual brain; providing a model of an epileptogenic and of a propagation zones and loading the models in the virtual brain to create a virtual epileptic brain; acquiring data of the brain of the epileptic patient; identifying, in the data, a location of at least one possible epileptogenic zone; fitting the virtual epileptic brain against the data acquired from the epileptic patient and parametrizing the at least one possible epileptogenic zone in the virtual epileptic brain as an epileptogenic zone; and simulating, within the virtual epileptic brain, the effect of a network modulation mimicking a clinical intervention of the brain of the patient.