Stress-Aware fMRI Interpretation Using Physiological Measurements
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Solution Overview
Problem
Current fMRI scan analysis fails to consider the influence of a subject's stress or anxiety levels before, during, and after the scanning process, leading to potential inaccuracies in interpretation and diagnosis.
Innovation Solution
Obtain and leverage information about a subject's stress or anxiety levels through cortisol measurements, brain activity, and peripheral physiological parameters to modify fMRI scan images, using machine learning algorithms to generate corrected or contextualized images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard fMRI scan analysis is performed without considering subject stress or anxiety levels, then the analysis process is simple and fast, but the interpretation accuracy and diagnostic reliability are reduced
Solution Approach 1:
The system performs preliminary assessment of stress and anxiety levels before the actual fMRI analysis using physiological measurements (cortisol, heart rate, skin conductance). This preliminary action allows the main analysis to be adjusted with contextual information already available, improving interpretation accuracy without significantly increasing the core analysis complexity
Solution Approach 2:
The patent introduces physiological parameters (cortisol levels, heart rate, skin conductance) as intermediary variables that mediate between the subject's psychological state and the fMRI interpretation. These intermediaries provide objective quantification of stress/anxiety that can be integrated into the analysis without requiring direct assessment of subjective psychological states
2Reliability
If physiological measurements are taken to assess stress and anxiety levels, then the reliability of fMRI interpretation is improved, but the time required for assessment and the complexity of the procedure increase
Solution Approach 1:
The system implements continuous monitoring of physiological parameters throughout the fMRI scanning process rather than discrete measurements at separate times. This allows stress and anxiety assessment to occur concurrently with the brain imaging, eliminating additional time requirements and enabling real-time adjustment of the fMRI analysis based on physiological state
Solution Approach 2:
The physiological measurement system serves multiple functions simultaneously: it assesses stress levels, quantifies anxiety states, provides contextual information for fMRI interpretation, and can trigger real-time adjustments to the scanning protocol. This multi-functionality maximizes the utility of the additional measurements while minimizing the relative time burden
3Measurement precision
If cortisol measurements and peripheral physiological parameters are used to determine stress levels, then the objectivity and precision of stress assessment are improved, but the complexity of data collection and processing increases
Solution Approach 1:
The system merges multiple measurement modalities (cortisol assessment, heart rate monitoring, skin conductance measurement) into a unified stress assessment framework. By combining these complementary measures, the system achieves more robust and precise stress quantification while sharing data processing infrastructure across all measurement types, thereby managing complexity through integration rather than separate processing systems
Data Source
AI summary
It is proposed to obtain information about a stress or anxiety level of a subject within a predetermined time period before, during and/or after a capture time of a fMRI scan image. Using this information, embodiments may provide additional/supplementary information that may aid, assist or otherwise improve interpretation of the fMRI scan image.