Functional Magnetic Resonance Imaging

3 credits · Graduate

This course will cover the complete fMRI analysis pipeline, from the scanner to constructing brain maps. Students will be trained on basic principles of fMRI, artifact detection, preprocessing, and task-fMRI signal estimation. This course will also cover recent advancements in resting-state fMRI, connectivity/graph-theoretic/independent-component analyses, and machine learning. The course will consist of lectures, review of key research papers and integrated laboratory sessions. The laboratory sessions will include hands-on analysis of fMRI data sets. Students will gain experience both in the theoretical principles of fMRI analysis and in the practical aspects of implementing them.