EEG Sensory Evoked Response Diagnostic for Cognitive Assessment
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Solution Overview
Problem
Current diagnostic methods for neurological conditions, such as disorders of consciousness, often underestimate cognitive function in patients with motor impairment or fluctuations in arousal, and neuroimaging modalities like PET and fMRI lack mobility and are costly, while EEG-based diagnostics offer advantages in cost and temporal resolution but require more precise methods for accurate assessment.
Innovation Solution
A system using EEG, MEG, or ECoG to measure sensory evoked responses to naturalistic auditory, visual, or somatosensory stimuli, cross-correlating stimulus features with neural responses, and employing machine learning algorithms to diagnose neurological disorders and track cognitive function, providing a cost-effective and temporally resolved assessment of brain function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If neuroimaging modalities (PET, fMRI, CT) are used for diagnosis, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses EEG to capture neural responses that copy or reflect the cortical activity patterns detected by more complex imaging modalities. Instead of directly imaging brain structure and function with PET/fMRI, the system records electrical signals that represent the same neural processing, providing a simplified copy of the diagnostic information
Solution Approach 2:
The patent replaces complex mechanical imaging systems (PET scanners, fMRI machines) with an electrical measurement system (EEG). This substitution maintains diagnostic capability while eliminating the need for bulky, expensive, and immobile imaging equipment, thereby resolving the contradiction between measurement precision and device complexity
2Measurement precision
If neuroimaging modalities (PET, fMRI) are used for diagnosis, then measurement precision is improved, but portability deteriorates
Solution Approach 1:
The EEG system captures neural responses that represent the same cortical activity information obtained through imaging modalities. This copying approach allows the diagnostic information to be obtained through a portable system rather than requiring the patient to be transported to a fixed imaging facility
Solution Approach 2:
The patent replaces immobile mechanical imaging systems with a portable electrical measurement system. The EEG device can be easily moved between patients and settings, eliminating the fundamental mobility limitation of PET and fMRI while preserving diagnostic accuracy
3Ease of operation
If behavioral examinations are used for diagnosis, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces neural responses as an intermediary measure between behavioral output and cognitive function. Instead of directly observing behavior (which may be confounded by motor impairment), the system measures neural activity that directly reflects cognitive processing, thereby improving measurement precision while maintaining the simplicity of the assessment approach
Solution Approach 2:
The patent replaces behavioral observation (mechanical/motor output) with electrical neural measurement. This substitution allows direct assessment of cognitive function at the neural level, bypassing the limitations of behavioral tests in patients with motor impairment while keeping the procedure simple and non-invasive
Data Source
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AI summary
The clinical diagnosis and monitoring of patients with neurological conditions may be established through behavioral examinations, assessments or evaluations, or neuroimaging scans. The system and methods described herein diagnose the cognitive function of a subject by measuring the neural response of the subject to one or more naturalistic sensory stimuli. The system measures the subject's sensory evoked response to the naturalistic sensory stimuli by computing the statistical comparison between the subject's neural signal and either the raw stimulus signal or the stimulus' signal envelope. A latency value, or other signal feature, is extracted from the subject's sensory evoked response and a diagnosis of the subject's cognitive function is then made based on the identified latency value or other extracted signal feature.