Course Syllabus
An introduction to human neuroimaging using magnetic resonance The course begins with an introduction to the basic MR instrumentation (magnet, gradients, coils) and signals (PD, T1, T2, T2*). Next, we cover how MR images are formed. We then review the acquisition and analysis of some of the most common human neuroimaging measurements, including anatomical, diffusion, and functional signals. Throughout the course we review methods designed to infer the biological basis of MRI signals. The goal of this work is to connect the MRI measurements to brain tissue, structures, and cellular activity. The emphasis on modeling involves the use of some programming and simulation methodology (based on either Python or Matlab). The course includes a series of homework assignments that are short questions or calculations. This course leads naturally to Psych 204b: Computational Neuroimaging (Spr 2017, TuTh 9:00AM-10:20AM, 420-419) taught by Prof. Grill-Spector and Prof. Yamins. Classroom Building 200-303 (Third floor in history corner) Course assistant: Rosemary Le Link to lecture videos
|
Course Summary:
Date | Details | Due |
---|---|---|