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Abstract #1157

Real Time FRMI: Machine Learning or ROIs?

Thomas WJ Ash1, T Adrian Carpenter1, Guy B. Williams1

1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom

The first applications of real time fMRI used voxel intensity averaging over a ROI to provide feedback, whereas recent work has shown that machine learning tools may improve performance. We conduct a comparison between the two techniques, and find that support vector machines (SVM) outperform averaging over a ROI no matter how restricted an ROI we use. Further to this, we find that SVM performance does not decrease as sharply as ROI averaging when block length is decreased.