Navigated Brain Stimulation with Anatomical Connectivity
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Solution Overview
Problem
Current brain stimulation methods lack accuracy in targeting specific brain regions due to insufficient anatomical and functional data, especially in cases where brain anatomy is altered by trauma or tumors, leading to uncertainty in diagnostic and therapeutic interventions.
Innovation Solution
Combining anatomical images with functional data such as PET, fMRI, and DTI to provide a comprehensive view of brain connectivity, using a stereotactic device guided by a navigation system that models the stimulating device's effects in real-time, allowing for precise targeting and planning of therapeutic interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If anatomical images (MRI or CT) are used to guide brain stimulation, then positioning accuracy is improved, but functional accuracy deteriorates when brain anatomy is altered by trauma or tumor
Solution Approach 1:
The patent combines anatomical images (MRI/CT) with functional imaging data (PET, fMRI, DTI) to create a comprehensive navigation system. This merging allows the system to provide both precise anatomical positioning and reliable functional information, resolving the contradiction by integrating multiple data sources that complement each other's strengths.
Solution Approach 2:
The navigation system is designed to handle multiple types of imaging modalities and data formats simultaneously. It can process anatomical images, functional images, and connectivity data through a unified platform, making it universally applicable whether the patient has normal anatomy or altered anatomy due to trauma or tumor.
2Device complexity
If only anatomical images are used for brain stimulation guidance, then system complexity is reduced, but information completeness deteriorates
Solution Approach 1:
The system segments different types of information (anatomical, functional, connectivity) into separate data streams that are processed independently and then integrated. This segmentation allows manageable handling of complex data while maintaining completeness, as each data type contributes specific information to the overall navigation picture.
Solution Approach 2:
The navigation system creates a composite information model that integrates multiple imaging modalities. Similar to composite materials in engineering, this composite data structure combines the strengths of different imaging techniques (structural detail from MRI, functional activity from fMRI, connectivity from DTI) to provide comprehensive information without overwhelming system complexity.
3Measurement precision
If real-time physics modeling and connectivity tracking are implemented, then diagnostic accuracy is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary processing and modeling of imaging data before the actual stimulation procedure. By pre-calculating connectivity pathways and preparing physics models in advance, the system reduces real-time computational demands during the procedure while maintaining high diagnostic accuracy when needed.
Data Source
AI summary
When operating a brain stimulation device, it is critical to understand and control the network effects associated with the area being targeted for stimulation. The combined system and methods provided herein provides the operator with a real-time view of the brain network potentially affected by the stimulation. The system and method are capable of increasing the accuracy of diagnostic information. Additionally, disclosed herein are a system and method for combining navigated brain stimulation data and anatomical data with brain connectivity data for an individual.