Frequency-Following Response Analysis for Concussion Diagnosis
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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 providing inconsistent results and limited granularity in assessing individual differences.
Innovation Solution
Analyzing frequency-following responses (FFR) to acoustic stimuli, specifically examining components like fundamental frequency, harmonics, neural timing, and stimulus-response correlation, to identify and classify non-penetrating brain injuries and assess recovery through electrode measurement and data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If neuroimaging techniques (diffusion tensor imaging, functional magnetic resonance imaging) are used to detect concussions, then diagnostic capability is improved, but equipment cost and complexity increase significantly
Solution Approach 1:
The patent replaces complex neuroimaging equipment (MRI, DTI) with a simple acoustic stimulation system and electroencephalogram (EEG) apparatus. The system uses acoustic stimuli to evoke frequency-following responses in the auditory cortex, which are then measured using affordable EEG equipment. This substitution maintains diagnostic capability while dramatically reducing equipment complexity and cost.
Solution Approach 2:
The patent uses frequency-following responses (FFR) as a functional copy or proxy for the more complex neuroimaging measurements. Instead of directly imaging brain structure or function with expensive equipment, the system measures the brain's electrical response to acoustic stimuli, which correlates with auditory processing integrity and provides diagnostic information about concussion-related brain injury.
2Ease of operation
If current standard concussion diagnosis methods are used, then ease of operation is maintained, but diagnostic reliability deteriorates due to subjective symptom reporting
Solution Approach 1:
The patent replaces subjective symptom reporting with objective physiological measurements. Instead of relying on patient self-reporting, the system uses EEG to measure frequency-following responses to acoustic stimuli, providing an objective, quantifiable biomarker for concussion diagnosis that eliminates subjectivity while maintaining operational simplicity.
Solution Approach 2:
The system uses the patient's own brain's electrical responses as the diagnostic marker. The frequency-following responses are naturally occurring physiological signals that the brain generates in response to acoustic stimulation, requiring no external biomarkers or complex processing - the patient's own neural activity serves as the diagnostic evidence.
3Measurement precision
If existing electrophysiological approaches are used, then diagnostic capability is improved, but measurement precision deteriorates due to contradictory findings and lack of granularity in assessing individual differences
Solution Approach 1:
The patent focuses on a specific, localized neural response - the frequency-following response in the auditory cortex - rather than using broad, nonspecific electrophysiological measures. By targeting the FFR to acoustic stimuli, the system obtains granular, individualized measurements of auditory processing integrity with high reliability, avoiding the contradictory findings associated with general electrophysiological approaches.
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
Provides a more objective and reliable method for identifying non-penetrating brain injuries and tracking recovery by analyzing specific brain response components, offering improved diagnostic accuracy and individualized assessment.
Implementation Method 1
fitting the subject with electrodes to measure voltage potentials generated from the subject's brain
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.