Real-time fMRI paradigm control, physiology, and behavior combined with near real-time statistical analysis.
This study presents an integrated approach to on-line fMRI data processing that combines real-time paradigm control and real-time MR image statistical analysis with nearly real-time integration of fMRI behavioral and physiological data. The real-time paradigms involve accurate timing control of multiple independent processing streams for stimulus presentation, physiological monitoring, behavioral response recording, and scanner synchronization. The real-time image analysis provides high resolution MR image reconstruction, head motion detection, translational motion correction, and t test statistical activation maps for either block design or single-trial based paradigms. The near real-time analysis allows physiological and behavioral data collected during a paradigm to be combined with the MR time series and provides extended data filtering and statistical processing within a few minutes after the end of the scan. This integrated approach improves fMRI reliability for both clinical and research studies.
Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
J T
JT
Voyvodic
D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001288:Attention / Q000502:physiology; D001307:Auditory Perception / Q000502:physiology; D001931:Brain Mapping / Q000295:instrumentation*; D002540:Cerebral Cortex / Q000502:physiology; D003199:Computer Systems; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D008297:Male; D008838:Microcomputers; D011597:Psychomotor Performance / Q000502:physiology; D012016:Reference Values; D012984:Software; D014796:Visual Perception / Q000502:physiology