Neurofeedback Threshold Control for Brain Coherence Training
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Solution Overview
Problem
Existing neurofeedback protocols struggle to effectively promote brain coherence, particularly in conditions like schizophrenia and mild cognitive impairment, often using static thresholds that hinder learning and fail to optimize the balance between brain work and rest, thus limiting cognitive improvement.
Innovation Solution
A dynamic thresholding-based neurofeedback system and method that uses a brain-computer interface to provide real-time feedback on brain signal coherence, adjusting stimuli presentation based on a dynamic threshold to enhance bilateral coordination of brain signals, particularly at the left and right frontal lobes, optimizing the work-to-rest ratio for improved learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static thresholds are used in neurofeedback protocols, then the system is simple to implement, but the learning process is hindered and brain coherence promotion is ineffective
Solution Approach 1:
The patent implements dynamic thresholding where the threshold value automatically adjusts based on real-time coherence measurements. The threshold increases when coherence exceeds a baseline level and decreases when coherence falls below the baseline, creating an adaptive feedback mechanism that responds to the user's progress and optimizes learning throughout the training session.
Solution Approach 2:
The system continuously measures brain coherence between left and right frontal lobes using EEG sensors and provides real-time visual feedback to the user. The dynamic threshold is updated based on this feedback, creating a closed-loop control system that adapts to the user's performance and maintains optimal training conditions.
2Quantity of substance
If continuous brain signal acquisition is performed throughout the entire session, then comprehensive data is collected, but the work-to-rest balance is disrupted and learning is suboptimal
Solution Approach 1:
The patent implements periodic acquisition cycles where brain signals are collected during active neurofeedback training periods followed by rest periods. The system alternates between acquisition phases (when coherence is being measured and feedback is provided) and break phases (when no data is collected), creating a rhythmic work-rest pattern that optimizes learning while maintaining comprehensive data collection across the training session.
3Adaptability or versatility
If the threshold is set too high, then only exceptional coherence levels are rewarded, but learning motivation is reduced. If set too low, then common fluctuations are rewarded, but learning precision is compromised
Solution Approach 1:
The system automatically adjusts the threshold based on the user's own performance without external intervention. The threshold is set to a baseline level initially, then dynamically updates based on real-time coherence measurements, allowing the system to self-optimize the difficulty level according to the user's progress and maintain appropriate challenge throughout training.
Data Source
AI summary
Disclosed are devices, systems and methods for acquiring, analyzing, and utilizing neurofeedback to promote brain coherence. Neurofeedback is a form of biofeedback that allows an individual to regulate his/her brain activity by providing a visual metaphor of brain function, thereby making it accessible for manipulation. In some embodiments of the present technology, a system includes a brain signal detection device wearable by a subject and a computer device including a display and a brain-computer interface (BCI) configured to monitor brain signals and display visual, auditory, and/or tactile stimuli to the subject according to a neurofeedback threshold-based protocol to deliver brain signal coherence between the left and right hemispheres of a subject's brain.