Supervised Learning Models of fMRI Data for Inferring Brain Function and Predicting Behavior

.......................................................................................................................................... ii Acknowledgments.......................................................................................................................... iii List of Tables ................................................................................................................................ vii List of Figures .............................................................................................................................. viii Chapter 1: Introduction ................................................................................................................... 1 1.1 MRI ....................................................................................................................................... 1 1.2 Functional MRI ..................................................................................................................... 2 1.3 Functional and Effective connectivity .................................................................................. 3 1.4 Supervised Learning ............................................................................................................. 4 1.4.1 Granger causality and Effective connectivity ................................................................ 5 1.4.2 Support Vector Machine and Brain state classification ................................................. 6 1.5 Motivation and Organization ................................................................................................ 8 Chapter 2: Experimental Validation of Dynamic Granger Causality for Inferring Stimulusevoked Sub-100ms Timing Differences from fMRI ..................................................................... 10 2.