Presented by the Laboratoire de recherche en neuroimagerie LREN, Swizerland
Lectures
Support_Vector_Machine_Classification_Basic_Principles
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 day course will be divided into two modules with theoretical and practical sessions covering all aspects of imaging data analysis from spatial pre-processing to statistical inference, to reporting results. The first module of this course is suitable for beginners, the second is intended for those with previous experience of SPM. See detailed programme below.
Faculty
The faculty includes collegues from the Wellcome Trust Centre for Neuroimaging (UCL, London UK) - John Ashburner, Guillaume Flandin - and from the Laboratoire de recherche en neuroimagerie (DNC - CHUV, Lausanne) - Ferath Kherif, Bogdan Draganski, Jürgen Dukart, Kerstin Preuschoff and others.
Register
The course is now fully booked.
Should you wish to join the waiting list for the course (beginner module or full course) please contact lreninfo@gmail.com.
Clik to the link to see the dedicated SPM course website.
Location
UNIL Amphipôle 140 and 146 (PC pool)
Metro M1, Station « UNIL - Sorge »
Quartier Sorge
CH-1015 Lausanne
Programme
Download SPM Course 2012 Flyer: Here !
Parallel workshops and tutorials in small groups are in red
Tuesday, 10 April 2012
09:30 - 10:00 Motivation & scientific goals of MRI research
10:00 - 10:15 Coffee break
10:15 - 11:00 Introduction to SPM, data organisation and data conversion
11:00 - 12:00 First steps with SPM (tutorial)
12:00 - 13:15 Lunch break
13:15 - 15:00 Pre-processing - Coregistration, segmentation and spatial normalisation
15:00 - 17:00 Workshop in small groups - structural or functional MRI (data pre-processing)
Wednesday, 11 April 2012
09:30 - 10:30 Experimental design and model specification
10:30 - 10:45 Coffee break
10:45 - 12:00 Statistical design - estimation and inference
12:00 - 13:15 Lunch break
13:15 - 16:00 Workshop in small groups - structural or functional MRI (statistical analysis)
16:00 - 17:00 Plenary - workshop report and question time
Thursday, 12 April 2012
09:30 - 10:30 Novel computational anatomy methods - New segmentation, Dartel, Shoot
10:30 - 10:45 Coffee break
10:45 - 12:00 Advanced applications (voxel-based quantification - VBQ, lesion detection)
12:00 - 13:15 Lunch break
13:15 - 15:00 Advanced statistical model for fMRI (event-related fMRI, multifactorial group analysis)
15:00 - 15:15 Coffee break
15:15 - 18:00 Workshop in small groups - structural or functional MRI (topics choice from the list below)
Social Event
Friday, 13 April 2012
10:00 - 11:00 Multi-variate methods: supervised and unsupervised classification (SVM, GMM, MvB)
11:00 - 11:15 Coffee break
11:15 - 12:15 Multi-modal data integration for structural and functional MRI
12:15 - 13:15 Lunch break
13:15 - 16:30 Workshop in small groups - structural or functional MRI (topics choice from the list below)
16:30 - 17:30 Plenary session
Topic choices for the workshops:
Thursday, 12 April 2012
(1) Diffeomorphic registration – John Ashburner
(2) VBQ – Jürgen Dukart
(3) Lesion detection – Bogdan Draganski
(4) fMRI – experimental design - Guillaume Flandin
(5) fMRI – group analysis – Ferath Kherif
Friday, 13 April 2012
(1) Pattern Classification – VBM – Jürgen Dukart
(2) Multi-channel segmentation – John Ashburner
(3) Model-based fMRI – Kerstin Preuschoff
(4) Multi-modal data integration - Guillaume Flandin
(5) fMRI – multivariate analysis – Ferath Kherif
Pictures
