Neural Targeting System for Deep Brain Stimulation Accuracy
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Solution Overview
Problem
Current deep brain stimulation (DBS) surgeries face challenges in accurately targeting small neural structures within the brain due to brain shifting during surgery and limitations in image resolution, leading to increased surgical risk and potential side effects.
Innovation Solution
A system and method that utilize real-time neural targeting with advanced imaging and electrophysiology to define virtual paths within brain images, correlating electrophysiological activity with anatomical data for precise microelectrode placement, allowing for intraoperative adjustments and improved spatial accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If functional mapping with microelectrode penetration is used to identify neuronal boundaries, then target verification accuracy is improved, but surgical time and complexity increase
Solution Approach 1:
The system performs preliminary functional mapping and creates a preoperative functional atlas before surgery. This allows the surgical team to have advance knowledge of functional boundaries and plan the electrode trajectory accordingly, reducing the need for extensive intraoperative mapping and thereby decreasing surgical time while maintaining accuracy.
Solution Approach 2:
The system creates a virtual copy of the patient's brain with functional boundaries mapped in advance. This virtual model allows surgeons to practice and plan the procedure without actually penetrating the brain during surgery, reducing intraoperative time while preserving the ability to verify targets accurately.
2Difficulty of detecting and measuring
If acoustic analysis of SPIKES is used for real-time target identification, then functional mapping capability is improved, but subjectivity and operator dependence increase
Solution Approach 1:
The system provides real-time feedback by comparing the electrophysiological signals recorded during surgery with the pre-established functional atlas. This automated comparison reduces subjectivity by providing objective, data-driven guidance to the surgeon about whether the electrode has reached the intended target, while still utilizing the functional mapping capability.
Solution Approach 2:
The system replaces the subjective acoustic analysis method with an automated computational comparison system. Instead of relying on the electrophysiologist's ear to distinguish spike patterns, the system uses algorithms to objectively compare recorded signals with reference patterns from the functional atlas, eliminating operator dependence.
3Loss of information
If CT and MRI imaging is used for anatomical targeting, then anatomical information is improved, but image resolution limitations cause targeting errors
Solution Approach 1:
The system merges anatomical imaging data from CT and MRI with functional mapping data to create a comprehensive functional atlas. This integration combines the strengths of different imaging modalities, providing both detailed anatomical information and functional boundaries, thereby improving targeting accuracy beyond what any single modality can achieve alone.
Solution Approach 2:
The system creates a composite information model that integrates multiple imaging modalities and functional data types. This composite approach combines anatomical structures, functional boundaries, and electrophysiological characteristics into a unified targeting framework, overcoming the limitations of individual imaging techniques.
4Measurement precision
If brain shifting is accommodated by re-imaging during surgery, then anatomical accuracy is improved, but surgical time and complexity increase
Solution Approach 1:
The system performs preliminary functional mapping and creates a deformable functional atlas before surgery that can be registered to intraoperative images. This pre-prepared framework allows for rapid adjustment to brain shifting without requiring time-consuming re-imaging or complex procedural changes, maintaining anatomical accuracy while reducing surgical complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and speed of DBS procedures, reducing surgical risks and enabling more neurosurgeons to perform the surgery with improved symptom control and minimized side effects.
Implementation Method 1
receives or picks up, via the microelectrode, a plurality of electrophysiological signals as the microelectrode extends on the physical path toward the physical target
Data Source
AI summary
A neural targeting system and method for deep brain stimulation procedures, or other types of brain surgeries requiring targeting, provides high spatial resolution and real-time targeting analysis to identify structural boundaries resulting in increased spatial accuracy. The system and method uses quantitative electrophysiology to update static brain images with an actual microelectrode location and trajectory in the brain to ensure correct placement of a later implanted stimulation probe.