Functional Magnetic Resonance Imaging: Data Acquisition and Analysis HST 583
This team-taught, multidisciplinary graduate-level course, offered via the MIT/Harvard University Health Sciences and Technology Division, provides information relevant to the conduct and interpretation of human brain mapping studies. In-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data. Human subject issues including informed consent, institutional review board requirements and safety in the high-field environment are presented. Twice weekly lectures and weekly laboratory and discussion sessions. Laboratory will include fMRI data acquisition sessions and data analysis workshops. Assignments include reading of both textbook chapters and primary literature as well as fMRI data analysis in the laboratory. Probability, linear algebra, differential equations, and introductory or college-level subjects in neurobiology, physiology, and physics required.
Course Director: Randy Gollub
Laboratory Director: Anastasia Yendiki
Instructors: R. L. Gollub, L. Wald, B. Dickerson, K. Helmer, S. Whitfield-Gabrieli, D. Bolar, J. Polimeni, D. Salat, M. Vangel, D. Greve, L. Stoeckel, S. Pujol, L. Nickerson, B. Rosen, A. Yendiki
Offered alternate years: Fall