SPM Course 2013

–>See SPM 2014 course details here!

13-15 February, 2013

An IBT Advanced Imaging Course

All lectures take place at the main University building (lecture hall KO2-F-180), whereas the practical sessions take place at the Gymnasium Rämibühl (Rämistrasse 58, 8001 Zurich)

>> Programme | >>Flyer (includes programme and map)

This three-day course, which has been held annually since 2007, offers comprehensive coverage of all MRI-related aspects of SPM, including

  • spatial preprocessing and voxel-based morphometry
  • mass-univariate and multivariate analyses of fMRI data
  • Bayesian analysis methods
  • Dynamic Causal Modeling and Bayesian Model Selection

The faculty includes

  • Kay Brodersen (Zurich)
  • Justin Chumbley (Zurich)
  • Jean Daunizeau (Paris)
  • Hanneke den Ouden (Nijmegen)
  • Andreea Diaconescu (Zurich)
  • Guillaume Flandin (London)
  • Jakob Heinzle (Zurich)
  • Quentin Huys (Zurich)
  • Sandra Iglesias (Zurich)
  • Lars Kasper (Zurich)
  • Kate Lomakina  (Zurich)
  • Christoph Mathys (Zurich)
  • Rosalyn Moran (Virginia Tech)
  • Tom Nichols (Warwick)
  • Frederike Petzschner (Zurich)
  • Sudhir Shankar Raman (Zurich)
  • Ged Ridgway (London)
  • Christian Ruff (Zurich)
  • Klaas Enno Stephan (Zurich & London)

Particular features of this course

  • coverage of cutting-edge analysis tools in SPM8 and SPM12
  • two practical and user-driven sessions (3h each) in small groups at the computer
  • all presentations are generously timed, allowing for plenty of questions and in-depth discussions
  • regular coffee breaks between talks – to keep concentration and allow for a maximum of interaction amongst participants and faculty

PROGRAM

Wednesday, 13 February 2013

09:00 – 09:15  Introduction

09:15 – 10:00  Practical overview of SPM

10:00 – 10:15 Coffee break

10:15 – 11:00 Physiological and physical foundations of fMRI measurements

11:00 – 11:15 Coffee break & Snacks

11:15 – 12:15 Spatial preprocessing

12:15 – 12:30  Coffee break

12:30 – 13:30 The General Linear Model for fMRI analyses

13:30 – 15:00  Lunch break

15:00 – 16:00  Statistical inference and design efficiency 

16:00 – 16:15 Coffee break & Snacks

16:15 – 17:15  Multiple comparison correction in SPMs

17:15 – 17:30 Coffee break

17:30 – 18:30  Experimental design

Thursday, 14 February 2013

08:30 – 09:30  Event-related fMRI 

09:30 – 09:45 Coffee break

09:45 – 10:45  Group analyses & SnPM 

10:45 – 11:00 Coffee break & Snacks

11:00 – 12:00  Voxel-based morphometry 

12:00 – 12:15  Coffee break

12:15 – 13:15  Multivariate analyses & decoding 

13:15 – 14:45  Lunch break

14:45 – 18:00  Practical exercises in small groups

(16:30 – 16:45 Coffee break & snacks)

Friday, 15 February 2013

08:30 – 09:30  Bayesian inference

09:30 – 09:45  Coffee break

09:45 – 10:45  Model-based fMRI

10:45 – 11:00 Coffee break

11:00 – 12:00  Effective connectivity & basics of DCM

12:00 – 12:15 Coffee break & Snacks

12:15 – 13:15  Advanced DCM

13:15 – 14:45  Lunch break

15:00 – 18:00  Practical exercises in small groups
(16:30 – 16:45 Coffee break & snacks)

Practical sessions on Thursday & Friday, 15:00-18:00

These are practical exercises driven by the interests and questions of the participants which use the example data sets from the SPM web site.

Topics

  1. Single subject analysis of blocked and event-related fMRI data (3 groups)
  2. Computational modeling & single subject fMRI analysis
  3. Group analysis of event-related fMRI data
  4. Group analysis of fMRI data, including statistical non-parametric mapping (SnPM)
  5. Bayesian analyses of fMRI data
  6. Voxel-based morphometry
  7. Dynamic Causal Modelling (2 groups)
  8. Multivariate methods & decoding

Coffee break approx. from 16:30-16:45, depending on group dynamics.

REGISTRATION is now CLOSED

For further information and any questions, please feel free to contact the course administrator: Ms Suzanne Wilde, Email: wilde@biomed.ee.ethz.ch.

We look forward to welcoming you in Zurich!

Klaas Enno Stephan, Sandra Iglesias & Suzanne Wilde

Translational Neuromodeling Unit
Institute for Biomedical Engineering
UNIVERSITY OF ZURICH / ETH Zurich