Methods & Models for fMRI Data Analysis HS 2014

When: Friday 12:00 to 14:00, 19.09.2014 to 19.12.2014

Where: ETH Zürich, ETZ Building, F91 (Gloriastrasse 35, F floor, room F 91)

Program Overview:

19.09.2014  –  BOLD neurophysiology (Jakob Heinzle)

Presentation slides: Intro 2014L01_BOLD

26.09.2014  –  Spatial preprocessing of fMRI images (Lars Kasper)

Presentation slides: Signal Noise Preprocessing

03.10.2014  –  The General Linear Model for fMRI analyses (Klaas Enno Stephan)

Presentation slides: GLM

10.10.2014  –  Classical (frequentist) inference (Frederike Petzschner)

Presentation slides: Classical Inference_FP2

17.10.2014  –  no course

24.10.2014  –  Multiple comparison correction (Justin Chumbley)

Presentation slides: Multiple Testing

31.10.2014  –  Experimental design (Sandra Iglesias)

Presentation slides: Experimental Design

07.11.2014  –  Variational Bayes & Bayesian model selection (Sudhir Shankar)

Presentation slides: Bayesian-Inference

14.11.2014  –  Event-related fMRI and design efficiency (Klaas Enno Stephan)

Presentation slides: er-fMRI

21.11.2014  –  Computational Neuroimaging (Andreea Diaconescu)

Presentation slides: Model-based fMRI

28.11.2014  –  Multivariate models for fMRI (Sudhir Shankar)

Presentation slides: Multivariate Analyses

05.12.2014  –  Basics of Dynamic Causal Modelling (Andreea Diaconescu)

Presentation slides: DCM Basic

12.12.2014  –  Practical session on DCM (Klaas Enno Stephan)

19.12.2014  –  Advanced aspects of Dynamic Causal Modelling (Klaas Enno Stephan)

Presentation slides: AdvancedDCM

09.01.2015 – Exam 12:00– 13:30 (36 MC questions, 90 min time)