Short Course on:

Statistical Parametric Mapping

Presented by the Wellcome Department of Imaging Neuroscience

in London, May 12-14, 2005

The course will present instruction on the analysis and characterisation of functional imaging data. This includes the following modalities: Positron Emission Tomography (PET), functional Magnetic Resonance Imaging (fMRI), Electro-encephalography (EEG) and Magneto-encephalography (MEG). The three-day course will be divided into theoretical sessions covering experimental design and statistical inference and practical sessions in which SPM will be used to analyse exemplar data sets. The practical sessions will focus on important but specific issues in experimental design and analysis that will be addressed with the participation of the registrants. The course will describe the newly released version of SPM, 'SPM 5 (beta)'.

Back to Main Menu

Thursday 12th May

Theoretical sessions

09.30 - 09.45 Introduction & Overview, Karl Friston
09.45 - 10.45 Image Registration , John Ashburner
10.45 - 11.00 Coffee
11.00 - 11.45 The General Linear Model, Jesper Andersson
11.45 - 12.30 Contrasts and Classical Inference, Jean-Baptiste Poline
12.30 - 13.30 Lunch
13.30 - 14.30 Hierarchical Models, Stefan Kiebel
14.30 - 15.15 Random Field Theory, Will Penny
15.15 - 15.45 Tea

Practical sessions

15.45 - 16.45 Introduction to spatial processing, John Ashburner and Christophe Phillips
16.45 - 17.15 Introduction to experimental design, Daniel Glaser and Stefan Kiebel
17.15 - 18.00 Clinic, Karl Friston

Friday 13th May

Theoretical sessions

09.30 - 10.15 Experimental design, Daniel Glaser
10.15 - 11.00 Event-related fMRI, Rik Henson
11.00 - 11.15 Coffee
11.15 - 12.00 Bayesian Inference and Posterior Probability Maps, Guillaume Flandin
12.00 - 12.30 EEG/MEG Source Localisation, Jeremie Mattout
12.30 - 13.30 Lunch
13.30 - 14.00 Functional Integration, Klaas Stephan
14.00 - 15.00 Dynamic Causal Modelling for fMRI and ERP/ERFs, Lee Harrison

Practical sessions

15.00 - 16.00 Analysis of Functional Data, Daniel Glaser and Christophe Phillips
16.00 - 16.30 Tea
16.30 - 17.00 Dynamic Causal Modelling, Klaas Stephan and Lee Harrison
17.00 - 18.00 Clinic, Karl Friston

Saturday 14th May

Practical sessions

The last day of the course consists of a number of parallel practical sessions covering the following topics:

Analysis of a PET time series. Andrea Mechelli, Daniel Glaser
Basic analysis of fMRI. Guillaume Flandin, Jesper Andersson
ERP/ERF analysis (SPM and Dynamic Causal Modelling). Stefan Kiebel
Advanced analysis of fMRI time series. Rik Henson, Will Penny
Multivariate analysis and other toolboxes. J.-B. Poline
Dynamic Causal Modelling. Lee Harrison, Klaas Stephan
Voxel-based Morphometry. John Ashburner, Christophe Phillips

These topics will be adapted to the requirements of the students. Each session will run all day and will be broken up into mini-sessions from 9.00-10.30, 11.00-12.30, 14.00-15.30 and 16.00-17.00 with coffee served at 10.30 and 15.30.