[BIC-announce] FW: Course announcement: Methods in Neuroimaging

[Jennifer Chew, Ms.]

FOR YOUR INFORMATION.  Jennifer 


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METHODOS IN NEUROIMAGING COURSE ANNOUNCEMENT (Apologies for possible multiple copies)

I am pleased to announce that a new edition of the course "Methods in Neuroimaging" (McGill-NEU606) will be offered this fall. This course is NOT a hands-on tutorial on how to analyze fMRI data nor a general overview of different neuroimaging methods. Rather, its aim is to help students understand the theoretical, mathematical and statistical issues behind fMRI experimental design and analysis. For that, we will make extensive use of linear (matrix) algebra and general concepts of probability and statistics, both analytically and with MATLAB.

The course will consists of 12 3hr-long classes spread out throughout the term (Sept to Dec). More information about location and detailed schedule will be provided at a later time.

The course is intended for graduate students who are involved in fMRI studies in the context of cognitive neuroscience and related disciplines as part of their thesis project. The course is offered by McGill and open to students in any of the Quebec universities. Students will be required to officially register (no auditing). To maximize student participation and interaction, space is limited and students will be selected based on their experience, expertise and interests to achieve an homogeneous group. Priority will be given to those who have already used one of the main analysis software packages (e.g., SPM. fmristat, AFNI, FSL). A knowledge of intermediate statistics is required and will be assumed. Evaluation will be based on in-class participation, homework and a final project (details to be provided the first day of classes)

If you are interested in taking the course, please send an email to jorge.armony at mcgill.ca from an academic address (no hotmail, yahoo or
gmail) with: (1) your name, (2) University, (3) Program and year (e.g., Ph.D. in Neuroscience, 2nd year), (3) Supervisor's name, (4) A (very) brief description of your research project with particular emphasis on the fMRI component, (5) at what stage you are regarding the main
experiment(s) (i.e., thinking about it, designing, piloting, acquiring data, analyzing, done), and (6) what software(s) you use for the analysis and level (if any) of experience with MATLAB

Jorge Armony