AI Brain Stimulation System Resolving Spatial Precision and Safety Trade-offs
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Solution Overview
Problem
Current brain stimulation techniques, such as tDCS, DBS, and rTMS, face limitations in temporal-spatial resolution, selectivity, and safety, while AI applications in healthcare are still immature, lacking comprehensive and effective interventions for severe mental illnesses like depression, autism, and schizophrenia.
Innovation Solution
An AI-based brain stimulation system integrating computer vision, natural language processing, machine learning, and deep learning, comprising brain stimulation terminals and a cloud platform, which collect physiological and psychological data to generate personalized non-invasive brain stimulation, predict mental illnesses, and provide timely interventions through cognitive behavioral therapy, physical stimulation, and olfactory drug delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tDCS is used for brain stimulation, then the treatment can be applied to brain diseases, but the temporal-spatial resolution in the brain region is limited due to the diffusion effect of electric field
Solution Approach 1:
The patent replaces traditional electrical field-based tDCS stimulation with optogenetic stimulation using light. This substitution enables precise temporal-spatial control of neural activation without the diffusion limitations of electrical fields, as light can be focused to specific brain regions with high precision through optical fibers or wireless optical devices.
Solution Approach 2:
The patent changes the fundamental stimulation parameter from electrical current to light wavelength and intensity. By using different wavelengths of light, the system can selectively activate specific neuronal populations expressing optogenetic tools, thereby achieving high temporal-spatial resolution that overcomes the diffusion effect limitation of tDCS.
2Reliability
If DBS is used for brain stimulation, then treatment effects can be achieved, but the stimulation lacks selectivity and specificity leading to unpredictability and side effects
Solution Approach 1:
The patent implements local quality by using optogenetic tools that can be selectively expressed in specific neuronal populations through viral vectors. This allows the stimulation to affect only the targeted cell types and brain regions, providing high selectivity and specificity that eliminates the side effects associated with non-specific DBS stimulation.
Solution Approach 2:
The patent replaces the non-specific electrical field of DBS with targeted optical stimulation. The light-based optogenetic approach allows precise spatial targeting and cell-type specificity that electrical DBS cannot achieve, thereby improving reliability by eliminating unpredictable side effects from off-target stimulation.
3Measurement precision
If optogenetic stimulation device is implanted in the brain, then neuronal specificity and selectivity can be achieved, but long-term implantation causes immunological rejection and inflammatory response
Solution Approach 1:
The patent uses an intermediary wireless power and data transmission system that allows optogenetic stimulation without permanent brain implants. The system transmits light and electrical signals wirelessly through the skull, eliminating the need for long-term implanted devices that trigger immune responses, while still maintaining neuronal specificity through optogenetic tools.
Solution Approach 2:
The patent creates a non-invasive copy of the implanted optogenetic stimulation effect by using transcranial optical delivery systems. This allows the functional equivalent of implanted optogenetic stimulation to be achieved without actual implants, thereby maintaining neuronal specificity while avoiding immunological rejection.
4Area of stationary object
If rTMS is used for brain stimulation, then cerebral cortex can be stimulated, but the magnetic field strength decays rapidly with distance limiting deep brain stimulation
Solution Approach 1:
The patent replaces magnetic field-based rTMS with light-based optical stimulation for transcranial delivery. Optical waves penetrate brain tissue more effectively than magnetic fields, allowing deeper brain regions to be reached while maintaining stimulation efficacy. This substitution overcomes the rapid decay limitation of rTMS magnetic field strength with distance.
5Ease of operation
If ultrasound stimulation is used, then non-invasive deep brain penetration can be achieved, but the accuracy and intensity to stimulate brain nucleus remain insufficient
Solution Approach 1:
The patent replaces ultrasound mechanical vibration with optical stimulation for transcranial brain activation. Light-based stimulation provides superior spatial precision and intensity control compared to ultrasound, enabling accurate targeting of deep brain nuclei while maintaining non-invasive delivery through the skull.
Data Source
AI summary
Provided are a brain stimulation system, method, apparatus and storage medium based on artificial intelligence. The system includes: a plurality of brain stimulation terminals and a cloud platform. The cloud platform is configured to, with artificial intelligence algorithm especially machine learning and deep learning, generate multi-dimensional psychological big data using physiological data and psychological state evaluation parameters gotten from the plurality of brain stimulation terminals and established models of algorithm for disease diagnosis. The brain stimulation terminal is configured to analyze the physiological data and psychological state evaluation parameters of a target subject, measure a mental state of the target subject, obtain brain stimulation parameters required for the target subject according to the mental state, and generate corresponding non-invasive brain stimulation for the target subject according to the brain stimulation parameters based on the multi-dimensional big data through the artificial intelligence algorithm.