Neurostimulation Targeting Using Brain Biosignal Model Matching
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Solution Overview
Problem
Current methods for optimizing brain stimulation in neurological disorders, such as epilepsy, are inadequate for cases where the target is determined electrophysiologically, lacking effective approaches to estimate the region of interest for stimulation.
Innovation Solution
A system utilizing a database and probabilistic module to analyze electrographic signals from implanted medical devices to identify event features and determine metrics for detecting and stimulating specific brain regions, optimizing therapy parameters for neurostimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current anatomical modeling methods are used for brain stimulation optimization, then the stimulation target can be defined based on anatomical structures, but the method cannot effectively handle cases where the target is determined electrophysiologically (such as seizure focuses or networks)
Solution Approach 1:
The patent introduces electrographic signals as an intermediary to bridge the gap between anatomical structures and electrophysiological targets. The system uses implanted medical devices to record electrographic signals from multiple brain locations, which then serve as a mediator to identify seizure focuses and networks, enabling stimulation targeting based on functional activity rather than solely on anatomy.
Solution Approach 2:
The patent replaces traditional anatomical modeling approaches with an electrophysiological-based system. Instead of relying on structural models and anatomical landmarks, the system uses electrographic signal analysis to identify and characterize seizure networks, substituting the mechanical/anatomical approach with an electrical/signaling approach that better captures functional brain activity.
2Reliability
If stimulation is delivered to a broader region to ensure coverage of the target, then the therapeutic effect is improved, but energy consumption increases due to stimulating non-target tissue
Solution Approach 1:
The patent applies local quality by delivering stimulation selectively to specific regions identified through electrographic signal analysis. Instead of using uniform or broad stimulation patterns, the system identifies the precise location and extent of seizure focuses and networks, then tailors the stimulation parameters and electrode configuration to target only those specific regions, thereby reducing energy consumption while maintaining therapeutic reliability.
3Object-affected harmful factors
If stimulation parameters are adjusted to reduce side effects in non-target regions, then patient comfort is improved, but the therapeutic effectiveness may be reduced
Solution Approach 1:
The patent implements feedback by continuously monitoring electrographic signals from multiple brain locations during and after stimulation. This real-time feedback information is used to refine and adjust stimulation parameters, allowing the system to optimize the balance between therapeutic effectiveness and minimization of side effects. The feedback loop enables dynamic adjustment of stimulation intensity and duration based on actual brain response.
Data Source
AI summary
A system for selecting therapy parameters for a neurostimulation system associated with a brain includes a device configured to sense biosignal activity from the brain and an optimizer. The optimizer is configured to select a target region of the brain for neuromodulation therapy, which target region minimizes the difference between real biosignals captured by the device and modeled biosignals. The optimizer is further configured to determine stimulation settings for neuromodulation therapy, which stimulation settings result in a modeled electrical characteristic of stimulation at a target region that satisfies a criterion.