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.
Department of Psychology & Neuroscience