SSVEP Neurofeedback for Precise Affect-Biased Attention Training

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Solution Overview

Problem

Existing neurofeedback paradigms for targeting affect-biased attention are limited by high costs and lack of precision, making them impractical for widespread clinical application.

Innovation Solution

A cost-effective system using electroencephalogram (EEG) and extended reality (XR) technology to provide neurofeedback based on steady-state visual evoked potentials (SSVEPs), allowing real-time detection and modification of affect-biased attention through augmented and virtual reality displays.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fMRI procedures are used for neurofeedback, then measurement precision is improved, but device complexity and cost increase

Engineering Contradiction:

Improvebrain-based measurement precisionVSAvoidfMRI procedure complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical/fMRI-based neuroimaging system with an electroencephalogram (EEG)-based system. Specifically, it uses steady-state visual evoked potentials (SSVEPs) recorded via EEG to provide neurofeedback, substituting the complex fMRI hardware and procedures with a simpler, more portable EEG setup that maintains sufficient measurement precision for attention training.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If repeated automated practice is used for attention training, then productivity is improved, but reliability and interpretability worsen

Engineering Contradiction:

Improveattention training efficiencyVSAvoidintervention reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent implements real-time neurofeedback based on SSVEP signals. During attention training, the system continuously monitors EEG responses to visual stimuli and provides immediate feedback to the user about their attention allocation. This closed-loop feedback mechanism enhances the reliability of the intervention by allowing users to adjust their attentional strategies based on objective neural measures, rather than relying solely on repeated automated practice without feedback.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If affective distractor stimuli are presented, then measurement precision of attention allocation is improved, but object-affected harmful factors increase

Engineering Contradiction:

Improveattention allocation measurementVSAvoidaffective distractor impact

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent uses steady-state visual evoked potentials (SSVEPs) generated by flickering visual stimuli at different frequencies. By encoding attention information in the frequency domain of the SSVEP signals, the system can precisely measure attention allocation to different stimuli. The use of flickering images at distinct frequencies allows the system to differentiate between attention to task-relevant versus affective distractor stimuli, enabling precise measurement while controlling the harmful impact of emotional distractors through systematic presentation.

Inventive Principle:

Principle #35Parameter changes

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

The system effectively modifies affect-biased attention by providing precise feedback on attention allocation to emotional and task-relevant stimuli, enhancing therapeutic interventions for anxiety and depression.

Implementation Method 1

receive from the EEG apparatus a number of first steady-state visual evoked potential (SSVEP) signals generated in response the first image of the overlaid image and a number of second SSVEP signals generated in response the second image of the overlaid image

Methodology Applied

Scientific EffectSteady-state visual evoked potential (SSVEP):

Data Source

PatentUS12629073B2System and method for providing neurofeedback from steady-state visual evoked potentials to target affect-biased attention for treating therapeutic outcomes such as anxiety and depression

Publication Date: 2026.05.19 UPMC

AI summary

A neurofeedback system includes an EEG apparatus, a presentation apparatus and a controller. The controller is configured to: (i) cause the presentation apparatus to display an overlaid image to the user that comprises a first image flickering at a first frequency and a second image flickering at a second frequency different than the first frequency, the first image being an affective distractor stimulus image and the second image being a task-relevant stimulus image, (ii) receive from the EEG apparatus a number of first steady-state visual evoked potential (SSVEP) signals generated in response the first image of the overlaid image and a number of second SSVEP signals generated in response the second image of the overlaid image, and (iii) calculate feedback indicative of how much attention of the was user allocated to the task-relevant stimulus image versus how much attention of the user was allocated to the affective distractor stimulus image.