Frequency-following response analysis for traumatic brain injury detection
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Solution Overview
Problem
Current methods for diagnosing non-penetrating brain injuries, such as concussions, are largely subjective and lack objective markers, with existing neuroimaging and electrophysiological approaches showing limitations in reliably identifying individual differences and milder forms of brain injury.
Innovation Solution
The method involves analyzing frequency-following responses (FFR) to acoustic stimuli, specifically by fitting subjects with electrodes, administering complex sounds, and recording brain responses to identify anomalous components like fundamental frequency, neural timing, and stimulus-response correlation, which can indicate non-penetrating brain injuries and assess recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective symptom reporting is used for concussion diagnosis, then the diagnostic process is simple and quick, but the reliability and objectivity of diagnosis deteriorates
Solution Approach 1:
The patent introduces an intermediary assessment tool that measures cognitive functions (processing speed, attention, memory) as an objective mediator between subjective symptom reporting and definitive diagnosis. This intermediary provides quantifiable data that enhances diagnostic objectivity while maintaining operational simplicity
Solution Approach 2:
The patent replaces the mechanical system of subjective self-reporting with an automated cognitive assessment system that objectively measures neural processing functions, thereby substituting human judgment with instrument-based measurement to improve reliability
2Reliability
If neuroimaging techniques are used to detect concussions, then objective markers are obtained, but the equipment cost and complexity increases
Solution Approach 1:
The patent extracts the essential diagnostic function from complex neuroimaging equipment by focusing on specific cognitive processing measures that can be obtained through simpler, more accessible assessment tools, thereby maintaining objective detection capability while reducing equipment complexity
Solution Approach 2:
The patent employs inexpensive, portable cognitive assessment tools that can be readily deployed without requiring expensive, fixed neuroimaging infrastructure, effectively replacing complex equipment with simpler, more accessible alternatives
3Quantity of substance
If existing electrophysiological approaches are used, then brain response data is collected, but the ability to identify individual differences and milder injuries deteriorates due to group-level analysis
Solution Approach 1:
The patent applies local quality by focusing on specific cognitive processing domains (processing speed, attention, memory) rather than analyzing all brain response data uniformly, allowing for precise detection of individual differences in specific functional areas that may be affected by mild injury
Solution Approach 2:
The patent segments the brain response data into distinct cognitive processing components and analyzes each separately, enabling more precise identification of subtle individual differences and milder injuries that would be obscured in aggregate group-level analysis
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 provides a more objective and granular assessment of non-penetrating brain injuries, enabling accurate identification and monitoring of recovery by analyzing specific brain response components, potentially improving diagnosis and treatment outcomes.
Implementation Method 1
analyzing one or more components of frequency-following response (FFR) following administration of an acoustic stimulus to the subject
Data Source
AI summary
The present disclosure provides methods for identifying non-penetrating brain injury in a subject, as well as methods for classifying a subject that received a hit to the body that transmitted an impulsive force to the brain as either having a non-penetrating brain injury or not, by analyzing one or more components of frequency-following response (FFR) following administration of an acoustic stimulus to the subject. In addition, the present disclosure provides methods for assessing a subject's recovery from a non-penetrating brain injury. Also disclosed herein are processes and systems for automatically generating acoustic stimuli and processing brain response data to identify non-penetrating brain injuries in subjects.


