SJ Carr1, W Chen2, H Friel3, S Sahoo4, Y Stern5, J Fondran4, S Yang4, D Jordan6, A Crisan6, L Thompson7, HG Taylor8, C Tatsuoka1,4,9
- Neurology, Case Western Reserve University, Cleveland, OH
- Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH
- Philips Healthcare, Cleveland, OH
- Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH
- Neurology, Columbia University, New York, NY
- Radiology, University Hospitals, Cleveland Medical Center, Cleveland OH
- Psychological Sciences, Case Western Reserve University, Cleveland, OH
- Pediatrics, Case Western Reserve University, Cleveland, OH
- Neurological Institute, University Hospitals, Cleveland Medical Center, Cleveland OH
We have developed an adaptive testing system with real-time fMRI. This system relies on a novel application of Sequential Probability Ratio Test (SPRT) statistics. This involves dynamic adjustment of stimuli based on BOLD responses as they are observed. Advantages of dynamic adjustment include reduction in scan times, enhanced accuracy in classifying activation, and real-time tailoring of experimentation. Activation patterns across difficulty levels can give insight into cognitive reserve (efficiency, capacity, plasticity through compensation). Cognitive reserve notions, characterized by efficient real-time fMRI paradigms, coupled with DTI-measured connectivity and detailed profiles of cognitive functioning, will help delineate and predict neural activation patterns. This work demonstrates a next generation of experimental designs for fMRI that are adaptive, tailored and efficient.