An fMRI framework for identifying statistical differences in blood oxygenated level dependent response levels: A brain injury demonstration

SummaryObjective neral concept surrounding fMRI data analysis for decision support is leveraging previously hidden knowledge from publicly available metadata sources with a high degree of precision. s and materials ized fMRI scans are used to calculate cumulative voxel intensity curves for every subject in the dataset that fits chosen demographic criteria. The voxel intensity curve has a direct linear relationship to the subjectʹs neuronal activity. In the case of head trauma, a subjectʹs voxel intensity curve would be statistically compared to the weighted average curve for every subject in dataset that is demographically similar. If the new subjectʹs neuronal activity falls below the threshold for their demographic group, the brain injury detection (BID) system would then pinpoint the areas of deficiency based on Broadmannʹs cortical areas. is alysis presented in this paper indicates that statistical differences among demographic groups exist in BOLD fMRI responses. sion knowledge can in fact be leveraged from mining stockpiled fMRI data without the need for unique human identifiers. The BID system offers the radiologist a statistically based decision support for brain injury.