Transcranial Stimulation Montage Computation Using White Matter Orientation
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Solution Overview
Problem
Existing methods for transcranial stimulation to enhance specific brain functions are inefficient, relying on trial-and-error processes and not accounting for the orientation of neurons in the brain, making it difficult to accurately reproduce a desired brain state.
Innovation Solution
A system that uses externally sensed brain activity and diffusion tensor imaging data to compute a transcranial stimulation montage, applying electrical stimulation based on the orientation of white matter tracts to transform the current brain state into a desired state, with adjustments made through a gain factor and optimization techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial-and-error methods are used to determine stimulation parameters, then the system can identify effective stimulation patterns, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal stimulation parameters in a lookup table during an initial calibration phase. This allows the system to quickly retrieve and apply effective stimulation patterns without requiring time-consuming trial-and-error during actual use, thus resolving the contradiction between reliability and time loss.
Solution Approach 2:
The patent uses copying by creating a digital model of the individual's brain anatomy and electrical properties from pre-processing data. This virtual copy allows the system to simulate and determine optimal stimulation parameters in advance, eliminating the need for repeated physical trials and significantly reducing the time required to identify effective stimulation patterns.
2Ease of operation
If coarse stimulation is applied without regard to neuron orientation, then the stimulation process is simplified, but the accuracy of reproducing desired brain states deteriorates
Solution Approach 1:
The patent applies local quality by determining and applying different stimulation parameters to different regions of the brain based on their specific anatomical and functional characteristics. The system calculates location-specific parameters including optimal current magnitude, frequency, and phase, tailored to the local neuronal orientation and tissue properties, thereby achieving high accuracy in reproducing desired brain states while maintaining operational simplicity through automated parameter adaptation.
3Reliability
If multiple stimulation parameters are varied to optimize brain state reproduction, then the effectiveness improves, but the complexity of the stimulation system increases
Solution Approach 1:
The patent applies parameter changes by systematically varying multiple stimulation parameters (current magnitude, frequency, phase) in a coordinated manner based on pre-calculated optimal values for each location. The system uses transformation matrices and lookup tables to manage the complexity of multiple parameters, allowing high-accuracy brain state reproduction through automated parameter optimization rather than manual adjustment, thus improving reliability without proportionally increasing operational 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
This approach allows for precise and efficient modulation of brain activity without the need for trial-and-error, effectively reproducing a desired brain state by aligning electrical stimulation with the orientation of neurons, enhancing behavioral functions and reducing the risk of side effects associated with invasive methods.
Implementation Method 1
The system uses externally sensed brain activity representing a desired brain state and a current brain state to translate a desired brain activity change in each relevant voxel of the brain into a necessary electrical field. Application of an electrical stimulation montage by transcranial stimulation electrodes is controlled to transform the current brain state into the desired brain state, the electrical stimulation montage including the necessary electrical field.
Implementation Method 2
Application of an electrical stimulation montage by transcranial stimulation electrodes is controlled to transform the current brain state into the desired brain state, the electrical stimulation montage including the necessary electrical field.
Data Source
AI summary
Described is a system for computing a transcranial stimulation montage. The system obtains externally sensed brain activity representing a current brain state of a subject. Using the externally sensed brain activity, a desired brain activity change in each relevant voxel of the brain of the subject is translated into a necessary electrical field. A model the desired brain activity in relevant voxels of the brain of the subject is created. Using the model, an electrical stimulation montage is computed that can be applied by transcranial stimulation electrodes to a subject to transform the current brain state into a desired brain state.