Invention:
This is an advanced software tool that analyzes functional neuroimaging data to map brain oscillations and predict optimal task timing across cognitive domains. By integrating MRI-based connectivity data with user input, it provides insight into the understanding of how different brain states interact. This predictive software intends to provide recommendations for optimized task completion in several cognitive avenues including psychomotor vigilance, emotional regulation, and cognitive performance. Additionally, this software has the possibility to be applied in diagnostics as a measure of circadian abnormality within various sleep disorders. This method offers a novel approach to predicting brain oscillations at both the individual and population level. G.L.O.B.E may be applied in conjunction with open-source machine learning approaches to predict MRI global efficiency based on completely novel EEG measures.
Background:
Circadian rhythm sleep disorders (CRSDs) are conditions where the internal circadian rhythms are not properly aligned with the external environment. A report published in 2024 by the National Council on Aging, Inc. revealed that around 30% of adults experience symptoms of insomnia, with 10% having insomnia that affects their daily activities. Traditional methods for assessing cognitive performance and sleep-related brain activity rely on broad statistical models that often lack personalization. Recently, the rise of sleep tracking applications has been prominent as sleep science makes headway in the analysis of sleep with novel technologies. This new software uses functional MRI data to offer personalized prediction of optimized times for specific tasks in the user’s life. This advanced approach looks to new markers, individual brain oscillations, with an advanced mathematical model for interpretation of sleep data.
Applications:
- Neurology / neurotherapy
- Sleep science
- Psychomotor vigilance monitoring
Advantages:
- Advanced novel software
- Uses unique mathematical models
- Potential sleep disorder diagnostic applications
- Offers personalized task timeline predictions
- Predictive capabilities at individual and population levels
