MICRO-513: Signal Processing for Functional Brain Imaging

General information

Instructors: Dimitri Van De Ville and Melissa Saenz
Time/Location: Thursday 14h-17h, AAC.137
Lab exercises: Computer room CO.5
Contact: Dimitri Van De Ville and Melissa Saenz


The aim of this course is to demonstrate how advanced signal processing techniques contribute to study brain function using modern medical imaging modalities. Over the past decade, seeing the brain at work has had a tremendous impact on neurosciences and medicine. The essentials of signal and image processing methods that lead to successful interpretation of functional brain imaging data are described, with a particular emphasis on multivariate and exploratory techniques. The proposed methodologies are widely applicable; particular examples include functional brain imaging using fMRI, EEG, and optical modalities.


  • All materials, including slides of the lectures and papers for the journal club (JC), are available for download (inside the EPFL/UniGE/UNIL domains)


Week 1 (February 21): Introduction to course and journal club (JC)

Week 2 (February 28): General linear model: basics

Week 3 (March 7): General linear model: continued

Week 4 (March 14): Lab exercise CO5 (start at 14:00h)

Week 5 (March 21): Independent component analysis

Week 6 (March 28): Multimodal imaging + JC

Week 7 (April 4): Easter holidays

Week 8 (April 11): Topographic mapping + JC

Week 9 (April 18): Pattern recognition + JC

Week 10 (April 25): Lab exercise CO5 (start at 14:00h)

Week 11 (May 2): Real-time FMRI + JC

Week 12 (May 9): Ascension holiday

Week 13 (May 16): Graph models + JC

Week 14 (May 23): Test-run exam + JC

Week 15 (May 30): Summary