Neuroimaging-Guided Brain Stimulation for Precise Insomnia Treatment
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Solution Overview
Problem
Existing methods for treating sleep disorders, such as insomnia, are limited by invasive procedures and lack accuracy in targeting specific brain regions due to variations between individuals and over time, leading to unintended consequences and suboptimal results.
Innovation Solution
A neuroimaging-guided non-invasive brain stimulation (ng-NIBS) system that uses advanced neuroimaging techniques to map brain activity and customize electrode placement for precise electrical stimulation, optimizing treatment by identifying desirable and undesirable brain states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional transcranial direct current stimulation (c-TDCS) is used to treat sleep disorders, then electrical stimulation can be applied to brain regions to facilitate sleep, but the electrode placement is speculative and lacks accuracy due to individual variations in brain structure and function
Solution Approach 1:
The system performs preliminary neuroimaging scans (MRI or CT) to create a personalized 3D model of the patient's brain anatomy before treatment. This pre-assessment allows for accurate prediction of current flow paths and optimal electrode placement, eliminating the need for trial-and-error positioning during actual treatment.
Solution Approach 2:
The system uses finite element modeling to simulate and visualize current distribution patterns in the brain based on individual anatomical structures. This feedback mechanism allows clinicians to adjust electrode placement and stimulation parameters before treatment to achieve desired current flow patterns, ensuring accurate targeting of specific brain regions.
2Reliability
If c-TDCS uses both anode and cathode on the head to stimulate brain regions, then brain activation can be enhanced in some areas, but unintended suppression of brain activity occurs in other regions
Solution Approach 1:
The system enables independent control of anodal and cathodal current intensities, allowing different stimulation parameters to be applied to different brain regions. This local quality control ensures that each targeted region receives optimized stimulation while minimizing unwanted effects on adjacent areas.
Solution Approach 2:
The system dynamically adjusts stimulation parameters based on real-time feedback from physiological monitoring and pre-treatment modeling. This allows the treatment to adapt to individual patient responses and brain states, optimizing effectiveness while reducing side effects throughout the treatment session.
3Adaptability or versatility
If c-TDCS is applied based on general knowledge of cognitive processes, then treatment can be administered without individual customization, but the treatment becomes inapplicable when brain function details vary between individuals and over time
Solution Approach 1:
The system performs comprehensive neuroimaging and 3D modeling during an initial setup session, storing the personalized brain map for future use. This preliminary action captures individual anatomical variations, allowing subsequent treatments to be quickly configured without repeating the full assessment, thus reducing setup time while maintaining personalization.
Solution Approach 2:
The system creates a digital 3D copy of the patient's brain anatomy that can be reused across multiple treatment sessions. This virtual model serves as a template for consistent electrode placement and current flow prediction, eliminating the need for repeated physical measurements while preserving individual-specific characteristics.
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 sleep quality and alleviates insomnia by accurately targeting specific brain regions, doubling learning performance and providing personalized treatment without the complications of conventional methods.
Implementation Method 1
The application of electric fields or stimuli to the brain has been demonstrated for a variety of neurological conditions
Data Source
AI summary
Provided are systems, methods, and devices for providing mediation or alleviation of sleep disorders and insomnia. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with sleeping disorders and insomnia. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the sleeping disorder or insomnia. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.