Mental Image Neurofeedback for Visual Working Memory
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional neurofeedback techniques, such as gameplay and simple neurofeedback methods, fail to robustly enhance cognitive functions that generalize to fundamental higher cognitive functions, limiting their effectiveness in improving cognitive performance beyond specific task skills.
Innovation Solution
A neurofeedback system and method that utilizes neural signals related to a mental image, recorded using scalp electrodes, to score and provide feedback on visual working memory, allowing users to improve their cognitive functions by aiming to enhance their mental imagery performance over trials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional neurofeedback techniques such as gameplay are used, then ease of operation is improved, but manufacturing precision (effectiveness in improving cognitive functions) deteriorates
Solution Approach 1:
The patent changes the fundamental parameter of neurofeedback training from simple gameplay tasks to complex mental imagery tasks that engage higher cognitive functions. By transforming the task complexity and cognitive engagement parameters, the system achieves both improved effectiveness in enhancing cognitive functions and maintains operational ease through intuitive mental visualization instructions.
2Device complexity
If simple neurofeedback techniques are used, then device complexity is reduced, but productivity (cognitive function improvement) deteriorates
Solution Approach 1:
The patent substitutes complex mechanical or procedural training systems with a mental imagery-based system that leverages the brain's natural cognitive processes. This replacement maintains system simplicity while dramatically improving cognitive function outcomes by engaging the user's inherent mental visualization capabilities rather than requiring complex external training mechanisms.
3Ease of operation
If traditional neurofeedback training is used, then ease of operation is improved, but reliability (generalization to higher cognitive functions) deteriorates
Solution Approach 1:
The patent creates a universal training system based on mental imagery that can improve multiple higher cognitive functions simultaneously (working memory, attention, creativity, emotion regulation). This multi-functional approach ensures that the ease of operation is maintained while achieving reliable generalization across diverse cognitive domains, as mental imagery is a fundamental cognitive process applicable to various functions.
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 effectively improves cognitive functions like visual attention and working memory, demonstrating superior efficacy compared to traditional methods by enhancing core cognitive abilities that generalize across tasks.
Implementation Method 1
receive neural signals that quantify visual working memory related to a mental image from a plurality of scalp electrodes
Data Source
AI summary
Neurofeedback training can include a subject visualizing a mental image, neural signals that quantify visual working memory related to the mental image can be recorded using scalp electrodes. The subject's performance with the visualization can be scored based on neural activity related to a cognitive function within the neural signals during an induction period. Feedback can be provided to the subject based on the scoring to inform the subject of a success rate related to the visual working memory. The goal of the neurofeedback training can be to improve the subject's cognitive function.