Methods & models for fMRI data analysis in neuroeconomics
Instructor
Prof. Dr. Dr.med. Klaas Enno Stephan
Time and location
| Lecture | Wed, 11:00-12:30 pm | BLU-E-003 |
| Practical sessions | Wed, 1:00-1:45 pm | BLU-E-003 |
Course description
This course introduces state-of-the-art methods and models for data analysis in neuroeconomics, addressing both the analysis of behavioural and neurophysiological data. A particular emphasis, however, will be on the analysis of functional magnetic resonance imaging (fMRI) data. The course covers all aspects of statistical parametric mapping, SPM (incl. preprocessing, linear hierarchical models, frequentist and Bayesian inference, multiple comparison corrections, and event-related designs) and Dynamic Causal Modelling (DCM), a novel approach for identification of nonlinear neuronal systems from neurophysiological data. Each lecture will contain both theoretical parts and practical demonstrations that introduce step-by-step how different analysis tools in SPM and DCM can be applied to fMRI data.
Credit points
4.5 ECTS
Language
English
Course registration
If you wish to attend this course, please send an e-mail with your name, address, telephone number, and student ID number (Matrikelnummer) to therz@iew.uzh.ch
Course schedule
| Date | Topic |
|---|---|
| 16-09-2009 | |
| 23-09-2009 | No lecture or practical session |
| 30-09-2009 | |
| 07-10-2009 | |
| 14-10-2009 | |
| 21-10-2009 | |
| 28-10-2009 | |
| 04-11-2009 | No lecture or practical session |
| 11-11-2009 | |
| 18-11-2009 | |
| 25-11-2009 | |
| 02-12-2009 | No lecture or practical session |
| 09-12-2009 | (*updated version*) |
| 16-12-2009 | |
| 20-01-2010 | Final examination (12:15-1:45 pm, BLU-E-003) |
