86-714 Fundamentals of Functional MRI

12 units, Carnegie Mellon University

Functional MRI (fMRI) has become one of the core experimental methods in cognitive neuroscience and other fields of psychology. This course will provide graduate student researchers with the fundamental knowledge and training necessary to design, acquire, and analyze their own fMRI experiments. Topics will include: MRI physics, MRI safety, best practices in practical aspects of scanning subjects, scanning parameters, experimental design, data pre-processing, data quality, basic data analysis (GLM), and an introduction to advanced analysis (MVPA, surface analysis). The course will move at a rapid pace utilizing lectures, as well as practical lab experience with fMRI analysis software, and visits to the CMU MRI scanner. Students will work through the entire analysis pipeline of a basic fMRI experiment, and also be introduced to more advanced analysis methods. Students should have a background in experimental design and statistics in psychology, as well as some previous experience working in command line computing environments and programming in Matlab.

Prerequisites: none listed

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