An fMRI framework for identifying statistical differences in blood oxygenated level dependent response levels: a brain injury demonstration.
OBJECTIVE
The general concept surrounding fMRI data analysis for decision support is leveraging previously hidden knowledge from publicly available metadata sources with a high degree of precision.


METHODS
Normalized 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 subject's neuronal activity. In the case of head trauma, a subject's voxel intensity curve would be statistically compared to the weighted average curve for every subject in dataset that is demographically similar. If the new subject's 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 Broadmann's cortical areas.


METHODS
The analysis presented in this paper indicates that statistical differences among demographic groups exist in BOLD fMRI responses.


CONCLUSIONS
Useful 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.
Sumrall
Jeffrey G
JG
Department of Information and Logistics Technology, College of Technology, University of Houston, 309 Technology Building, Houston, TX 77204-4023, USA. jsumrall@uh.edu
Chaudry
Maryam S
MS
Chakravarthy
Ramya
R
D000328:Adult; D001930:Brain Injuries / Q000175:diagnosis / Q000378:metabolism* / Q000503:physiopathology; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016247:Information Storage and Retrieval; D008279:Magnetic Resonance Imaging; D008297:Male; D010100:Oxygen / Q000097:blood*
D010100:Oxygen