High Gamma SEEG Brain Mapping via Intracranial Electrodes
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Solution Overview
Problem
Current brain mapping methods for neurosurgery, such as intraoperative electrocortical stimulation and intracarotid amobarbital test, are invasive and pose neurophysiologic and patient-safety concerns, necessitating the development of alternative methods for precise functional brain mapping, particularly for patients with brain defects or lesions.
Innovation Solution
A method utilizing high gamma stereotactic electroencephalography (SEEG) to record and analyze task-related high gamma modulations (HGM) in the 50-150 Hz frequency range, allowing for accurate localization of functional brain sites through statistical thresholding and predictive modeling, reducing the need for invasive stimulation and improving mapping efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intraoperative electrocortical stimulation and intracarotid amobarbital test are used for brain mapping, then functional brain sites can be mapped, but neurophysiologic and patient-safety concerns arise
Solution Approach 1:
The patent replaces invasive mechanical stimulation methods (electrocortical stimulation) with non-invasive high gamma EEG recording. The system uses intracranial electrodes to record natural high gamma activity (50-150 Hz) during task performance, eliminating the need for electrical stimulation while maintaining functional mapping capability. This substitution resolves the contradiction by removing harmful stimulation effects while preserving measurement accuracy.
Solution Approach 2:
The patent introduces high gamma EEG signals as an intermediary to indirectly map functional brain sites. Instead of directly stimulating brain tissue, the system records endogenous high gamma activity that naturally occurs during task performance. This intermediary approach allows functional mapping without direct intervention, reducing neurophysiologic risks while maintaining mapping precision.
2Measurement precision
If manual methods are used to identify and label SEEG electrode contacts, then functional information can be integrated, but the process is resource intensive
Solution Approach 1:
The patent replaces manual visual inspection and labeling of electrode contacts with automated computational methods. The system uses algorithms to automatically identify electrode contacts in CT scans, localize them in three-dimensional space, and label them based on anatomical position. This automation eliminates time-consuming manual processes while maintaining or improving localization accuracy, directly resolving the productivity contradiction.
Solution Approach 2:
The system enables self-service automated identification and labeling of electrode contacts without requiring extensive manual intervention. The computational pipeline automatically processes CT images, identifies electrode positions, and generates functional maps, reducing dependency on manual labor while maintaining precision.
3Measurement precision
If high gamma SEEG is used for functional brain mapping, then mapping accuracy and specificity are enhanced, but complex signal analysis is required
Solution Approach 1:
The patent extracts and focuses specifically on high gamma frequency signals (50-150 Hz) from the broader EEG spectrum. By isolating this specific frequency band where task-related functional activity is most prominent, the system simplifies the analysis complexity while maintaining high mapping accuracy. The extraction of relevant frequency components eliminates the need to process the entire EEG spectrum.
Solution Approach 2:
The system performs preliminary filtering and preprocessing of EEG signals to isolate high gamma components before detailed analysis. By pre-processing the signals to extract only the relevant high gamma frequency range, the system reduces subsequent analysis complexity while preserving the accuracy needed for functional brain site localization.
Data Source
AI summary
A method for functional brain mapping using high gamma modulation obtained from stereoelectroencephalography (SEEG).