SPM Course 2014

–>Download presentation slides here

11-14 February, 2014

An IBT Advanced Imaging Course

Location (PDF)  |  Download flyer/programme  |  Jump to registeration details

This four-day course, held annually since 2007, offers comprehensive coverage of all MRI-related aspects of SPM, including

  • Spatial preprocessing & physiological noise correction
  • Voxel-based morphometry
  • Massunivariate & multivariate analyses of fMRI
  • “Resting state” fMRI
  • Meta-analysis
  • Bayesian analysis methods
  • Dynamic Causal Modeling for fMRI & electrophysiology

The faculty includes

  • Kay Brodersen (Zurich)
  • Justin Chumbley (Zurich)
  • David Cole (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)
  • Gabor Stefanics (Zurich)
  • Klaas Enno Stephan (Zurich & London)
  • Tina Wentz (Zurich)

Particular features of this course

  • Option to register only for either the basic course or the advanced course (2 days each)
  • 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

PROGRAMME

(Morning lectures will take place in the UZH main bulding; practical sessions will take place in the ETHZ main building)

Basic course – Tuesday, 11 February 2014

08:30 – 08:45 Introduction

08:45 – 09:30 SPM Overview

09:30 – 09:45 Coffee break

09:45 – 10:45 Spatial preprocessing

10:45 – 11:00 Coffee break & snacks

11:00 – 12:00 The General Linear Model for fMRI analyses

12:00 – 12:15 Coffee break

12:15 – 13:15 Statistical inference and design efficiency

13:15 – 14:45 Lunch break

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

16:30 – 16:45 Coffee break & snacks

Basic course – Wednesday, 12 February 2014

08:30 – 09:30 Multiple comparison correction in SPMs

09:30 – 09:45 Coffee break

09:45 – 10:45 Experimental design

10:45 – 11:00 Coffee break & snacks

11:00 – 12:00 Event-related fMRI incl. 2nd level summary statistics

12:00 – 12:15 Coffee break

12:15 – 13:15 “Resting state” fMRI

13:15 – 15:00 Lunch break

15:00 – 18:00 Practical exercises in small groups

16:30 – 16:45 Coffee break & snacks

Advanced course – Thursday, 13 February 2014

08:30 – 08:45 Introduction

08:45 – 09:45 Group analyses

09:45 – 10:00 Coffee break

10:00 – 11:00 Advanced issues in fMRI statistics

11:00 – 11:15 Coffee Break & snacks

11:15 – 12:15 Voxel-based morphometry

12:15 – 12:30 Coffee break

12:30 – 13:30 Multivariate analyses

13:30 – 14:45 Lunch break

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

16:30 – 16:45 Coffee break & snacks

Advanced course – Friday, 14 February 2014

08:30 – 09:15 Computational models for fMRI analyses

09:15 – 09:30 Coffee break

09:30 – 10:15 Bayesian model selection

10:15 – 10:30 Coffee Break & snacks

10:30 – 11:30 Basics of DCM

11:30 – 11:45 Coffee break

11:45 – 12:30 Advanced DCM for fMRI

12:30 – 12:45 Coffee break

12:45 – 13:30 DCM for electrophysiological data

13:30 – 15:00 Lunch break

15:00– 18:00 Practical exercises in small groups

16:30 – 16:45 Coffee break & snack

Practical sessions, 15:00-18:00

These are practical exercises driven by the participants’ interests and questions , which use the example data sets from the SPM website.

Basic Course (Tuesday & Wednesday):

  1. Preprocessing & physiological noise correction
  2. Single subject analysis of blocked and event-related fMRI data
  3. Group analysis of event-related fMRI data
  4. Resting state fMRI

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

Advanced course (Thursday & Friday):

  1. Computational modeling of single subject fMRI data
  2. Advanced group analysis of event-related fMRI data
  3. Group analysis of fMRI data, including statistical non-parametric mapping (SnPM) (“Power and meta-analysis”)
  4. Voxel-based morphometry
  5. Dynamic Causal Modelling: fMRI (basic, advanced) and electrophysiology
  6. Multivariate analyses & decoding

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

Registration

There are four different registration categories.

Category 1:    Basic & advanced course (4 days): Lectures and practical sessions.

Cost: CHF 600.

Maximum capacity: 60 participants.

Category 2:   Basic course (2 days): Lectures and practical sessions.

Cost: CHF 350.

Category 3:   Advanced course (2 days): Lectures and practical sessions.

Cost: CHF 350.

Category 4:   Lectures only (all four days):

Cost: CHF 350

In order to ensure small group sizes, a maximum of 60 participants will be accepted for the practical sessions on a first-come, first-served basis.
Students and staff of UZH and ETH are not charged course fees; however, we do require a small fee to cover catering costs.  For more information, please send us an
e-mail: spm@biomed.ee.ethz.ch.

>>> Click here to register now <<<

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