Meeting Banner
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.

Keywords