SPM Course April 2014

 

 

Faculty

John Ashburner (FIL – UCL, London, UK)
Bogdan Draganski (LREN, DNC – CHUV, Lausanne)
Guillaume Flandin (FIL – UCL, London, UK)
Ferath Kherif (LREN, DNC – CHUV, Lausanne)
Antoine Lutti (LREN, DNC – CHUV, Lausanne)
Kerstin Preuschoff (EPFL, Lausanne)
Jing De Chambrier (LREN, DNC – CHUV, Lausanne)
Sara Lorio (LREN, DNC – CHUV, Lausanne)
Renaud Marquis (LREN, DNC – CHUV, Lausanne)
Sandrine Muller (LREN, DNC – CHUV, Lausanne)
Fabrizio Pizzagalli (LREN, DNC – CHUV, Lausanne)
Elisabeth Roggenhofer (LREN, DNC – CHUV, Lausanne)
Anne Ruef (LREN, DNC – CHUV, Lausanne)
David Slater (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: Salle Micropolis, Rue du Bugnon 21, 1011 Lausanne

 

Programme

Day 1: Tuesday, 22nd of April

09:30 – 09:45 Motivation, scientific goals of MRI research
09:45 – 10:30 MR Physics – part I
10:30 – 10:45 Coffee Break
10:45 – 11:30 MR Physics – part II
11:30 – 12:45 Lunch break
12:45 – 13:30 Overview of SPM data pre-processing framework: sMRI
13:30 – 14:00 Overview of SPM data pre-processing framework: fMRI
14:00 – 14:30 Tutorial: sMRI preprocessing
14:30 – 15:00 Tutorial: fMRI pre-processing
15:00 – 15:15 Coffee Break
15:15 – 17:30 Workshop parallel sessions (sMRI, fMRI): pre-processing
17:30 – 18:00 Q&A

 

Day 2: Wednesday, 23rd of April

09:30 – 09:45 Review of Day 1
09:45 – 10:45 Experimental design, model specification
10:45 – 11:00 Coffee Break
11:00 – 12:00 Statistical inference I
12:00 – 13:15 Lunch break
13:15 – 15:30 Workshop parallel sessions (sMRI, fMRI): Statistical inference I
15:30 – 15:45 Coffee break
15:45 – 17:45 Workshop parallel sessions (sMRI, fMRI): Statistical inference I
17:45 – 18:00 Q&A

 

Day 3: Thursday, 24th of April

09:45 – 10:00 Review of Day 2
10:00 – 10:45 Advanced methods for data pre-processing and longitudinal design
10:45 – 11:00 Coffee break
11:00 – 11:45 Statistical inference II (group analysis)
11:45 – 12:30 Advanced experimental designs and structure – function models
12:30 – 13:45 Lunch break
13:45 – 15:45 Workshop parallel sessions (sMRI, fMRI): Statistical inference II
15:45 – 16:00 Coffee break
16:00 – 17:15 Workshop parallel sessions (sMRI, fMRI): Statistical inference II
17:15 – 17:45 Q&A

Social Event

 

Day 4: Friday, 25th of April

09:45 – 10:00 Review of Day 3
10:00 – 11:00 Classical multivariate inference
11:00 – 11:15 Coffee break
11:15 – 12:00 Data mining for neuroimaging data
12:00 – 13:15 Lunch break
13:15 – 15:15 Workshop parallel sessions (sMRI, fMRI): Statistical inference II
15:15 – 15:30 Coffee break
15:30 – 16:30 Workshop parallel sessions (sMRI, fMRI): Statistical inference II
16:30 – 17:30 Plenary session

 

 

 

Slides

 

DataMining.pdf  (2426 Ko)

StructuralMRI.pdf  (2257 Ko)

Preprocessing_JA.pdf  (5187 Ko)

Preprocessing_BD.pdf  (2792 Ko)

ModelBasedfMRI.pdf  (1343 Ko)

Group_Analysis.pdf  (2183 Ko)

fMRI.pdf  (2236 Ko)

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