Neuroimaging module I: Modern neuroimaging methods of investigation of the human brain in health and disease
Organizers: Bogdan Draganski, Ferath Kherif & Antoine Lutti
SUMMARY & TOPICS
The course will include a description of the acquisition and analysis tools to study brain structure, function and connectivity. Upon successful completion of the course, students will have developed a broad knowledge of how modern neuroimaging techniques and their application improve our understanding of brain functions and discorders.
Prerequisite for this course are MATLAB skills.
Please note that the module "I" is interwined with module "C" (Clinical neuroscience). Both course modules can be taken together, but also separately.
SCHEDULE & VENUE
Wednesdays from 9-13h, biweekly @ CHUV Lausanne, Mont Paisible 16 - salle 05_565
07.10 Basic principles of MR physics (ALutti)
21.10 MR techniques for brain imaging (ALutti)
04.11 Automated MR feature extraction (BDraganski)
18.11 Voxel-based morphometry and quantification (BDraganski)
02.12 Statistical analysis for brain imaging data I (FKherif)
16.12 Statistical analysis for brain imaging data II (FKherif)
Journal club presentation and essay
The number of participants in each module is limited to 10. Please write a mail to email@example.com (with module name as subject and your supervisor in copy), inscriptions will be treated on first come-first served basis.
Please note that the course takes place in the hospital environment; wearing a mask is obligatory for all, in the hall of the building and in the smeinar room! As to guarantee simple access to the building, please be ready to show the course description at the building entrance / and or a mail from the course organizer!