Registration

Registration starting February 22

Faculty

John Ashburner (FIL - UCL, London, UK)
Stanislaw Adaszewski (LREN, DNC-CHUV; Lausanne)
Bogdan Draganski (LREN, DNC - CHUV, Lausanne)
Jürgen Dukart (LREN, DNC - CHUV, Lausanne)
Guillaume Flandin (FIL - UCL, London, UK)
Ferath Kherif (LREN, DNC - CHUV, Lausanne)
Sara Lorio (LREN, DNC - CHUV, Lausanne)
Antoine Lutti (LREN, DNC - CHUV, Lausanne)
Kerstin Preuschoff  (EPFL, Lausanne)
Anne Ruef (LREN, DNC - CHUV, Lausanne)
Valerie Zufferey (LREN, DNC - CHUV, Lausanne)
 

Aim

The course will focus on how to conduct neuroimaging studies using structural and functional MRI data within the framework of Statistical Parametric Mapping (SPM). This 4 days course is divided into two modules with theoretical and practical sessions covering all aspects of imaging data analysis from spatial pre-processing to statistical inference and reporting results. The course is suitable for beginners, and for those with previous experience of SPM. See detailed programme below.

Location

Metro M2 to station « CHUV »

- Lectures : salle Jequier Doge - PMU - CHUV, Rue du Bugnon 46, 1011 Lausanne

- Workshop: LREN lab space-  CHUV, Mont Paisible 16, 1011 Lausanne

Programme

Day 1
11:00 – 11:30 Motivation, scientific goals of MRI research
11:30 – 11:45 SPM Data Organization
11:45 – 12:30 Structural MRI Physics
12:30 – 13:30 Lunch break
13:30 – 14:00 Data preprocessing
14:00 – 14:30 Tutorial: VBM preprocessing
14:30 – 15:00 Tutorial: fMRI pre-processing
15:00 – 15:15 Coffee Break
15:15 – 17:30 Workshop: pre-processing: sMRI or fMRI
17:30 – 18:00 Questions time

Day 2
09:30 – 09:45 Review of Day 1
09:45 – 10:30 Functional MRI Physics
10:30 – 10:45 Coffee Break
10:45 – 11:15 Experimental design, model specification
11:15 – 12:00 Statistical inference I (1st level fMRI, tutorial)
12:00 – 12:45 Statistical inference I (simple group analysis – VBM, tutorial)
12:45 – 14:00 Lunch break
14:00 – 16:00 Workshop: Statistical inference I sMRI or fMRI
16:00 – 16:15 Coffee break
16:15 – 17:45 Workshop: Statistical inference I sMRI or fMRI
17:45 – 18:00 Questions time

Day 3
09:45 – 10:00 Review of Day 2
10:00 – 10:45 Computational anatomy (longitudinal design)
10:45 – 11:00 Coffee break
11:00 – 11:45 Statistical inference II (group analysis fMRI, tutorial)
11:45 – 12:30 Computational models for behavior in imaging
12:30 – 13:30 Lunch break
13:30 – 16:00 Workshop: Statistical inference II sMRI or fMRI
16:00 – 16:15 Coffee break
16:15 – 17:15 Workshop: Statistical inference II sMRI or fMRI
17:15 – 17:45 Questions time

Social Event

Day 4
09:30 – 09:45 Review of Day 3
09:45 – 10:15 Multivariate analysis
10:15 – 11:00 Classification (SVM )
11:00 – 11:15 Coffee break
11:15 – 12:00 Data Mining (challenges of the Human Brain Project)
12:00 – 13:15 Lunch break
13:15 – 16:30 Workshop in small groups - structural or functional MRI
16:30 – 17:30 Plenary session