URPP Foundations of Human Social Behavior

 

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)