*Note schedule change: SOMI277A will be in Winter
quarter for 2016/17 academic year (not in Fall quarter)
*Please email the relevant instructor directly to pre-register or enquire about the courses
Enrollment is limited and consent will be required from the instructors prior to enrollment.
Click here for course prerequisites.
If you're interested in any of theses courses, please email the relevant course instructor.
Two series will be offered:
(Please click on the course title below to link to the lecture schedule)
1.SOMI277A: Functional Magnetic Resonance Imaging: Methods and Analysis Functional magnetic resonance imaging (FMRI) is an essential tool for the study of brain activity correlates to sensory, perceptual, and cognitive functions. This introduction to functional MRI is the first in this series of 2 courses.
The first half of this course provides a foundation in the underlying biophysics that make functional neuroimaging possible, and a grounding in the physical principles of magnetic resonance imaging. The course will include hands-on tutorials with an introduction to using MRI scanners, so that students will understand how FMRI data are generated and can be assessed for quality. The latter half of the course introduces FMRI experimental design and analysis. This will include multiple design and analysis assignments and several open discussion forums to provide practical experience in addition to the lecture format.
The course is targeted towards students new to FMRI research or those students with some experience in FMRI research that are seeking a deeper understanding of the various options available for analysis of FMRI data. This course will allow students to understand the basic principles underlying FMRI, including potential applications and limitations, sufficient to allow the student to conduct and report high-quality research using FMRI.
2. SOMI277B: Functional Magnetic Resonance Imaging: Advanced Topics. This course combines lectures and discussion of current papers on advanced topics related to fMRI. Examples of areas we have explored in past years include:
The biological basis of fMRI (Anna Devor): How are blood flow, energy metabolism, and neural activity related to each other?
EEG and MEG signals (Eric Halgren): What is the physiological basis of EEG and MEG signals, how are these methods used, and how does the information provided by these electrophysiological signals relate to the information provided by fMRI?
Anatomical brain connectivity (Rebecca Theilmann): How can we use MR diffusion imaging to probe brain connectivity, and how should these signals be interpreted?
Functional brain connectivity (Frank Haist): What can resting state correlations of activity in different brain regions tell us about connected networks?Presentation of papers is by students taking the course for credit, but other fMRI investigators are encouraged to attend and participate in the discussions.
For our currently enrolled students, LearnFMRI web is our eLearning tool. This contains reading material, analysis tools, lecture notes and lab manuals. Select Student Login from the list of links.