Neuroimaging methods are used with increasing frequency in clinical practice and basic research. fMRI is one of the most widely used techniques for investigating the living, functioning human brain as people perform tasks and experience mental states, and a convergence point for multidisciplinary work. This course will introduce the basic principles of neuroimaging methods as applied to human subjects research. The course also seeks to present neuroscience concepts and terminology necessary for a basic understanding of neuroimaging applications. Topics include fMRI experimental design, data acquisition, imaging preprocessing, statistical analysis, and results interpretation. Each session will be divided in two strands: a theoretical taught class and a hands-on practice to analyze data.
MRI mock data will be facilitated by the course instructor.
All participants must have a computer (Windows, Macintosh, Linux). To correctly run the examples, you will need a computer with at at least 8 Gb of RAM and 240 Gb of space in your hard drive. Webcam and headphones are strongly recommended, as well as a good internet connection. You will need a camera to do the exercises.
You will need to have installed the following software: