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Statistical Parametric Mapping short courses - 11th-13th May 2015

Publication date: Feb 20, 2014 06:58 PM

Start: May 11, 2015 12:00 AM
End: May 13, 2015 12:00 AM

Location: Basement Lecture Theatre, 33 Queen Square, London, WC1N 3BG

Statistical Parametric Mapping for MEG/EEG

(Presented by the Wellcome Trust Centre for Neuroimaging)

May 11 (Mon) - 13 (Wed) 2015


The course will present instruction on the analysis of EEG and MEG data.  The first two days will combine theoretical presentations with practical demonstrations of the different data analysis methods implemented in SPM.  On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty.  We also invite students to bring their own data for analysis. The course is suitable for both beginners and more advanced users. We advise students to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM web page (http://www.fil.ion.ucl.ac.uk/spm/doc/) or by scanning through Litvak et al. (2011) ‘EEG and MEG data analysis in SPM8’, Comput Intell Neurosci 2011:852961.

Monday May 11th (33 Queen square, basement)
Time Title Lecturer
9.00 - 9.30 Registration  
9.30 - 9.45 SPM introduction and resources
Guillaume Flandin
9.45 - 10.30
What are we measuring with M/EEG? Stefan Kiebel
10.30 - 11.15 Data pre-processing Holly Rossiter
11.15 - 11.45
Coffee  
11.45 - 12.30 Data pre-processing – demo
Deborah Talmi, Megumi Fukuda
12.30 - 13.15
General linear model and classical inference Christophe Phillips
13.15 - 14.15 Lunch  
14.15 - 15.00 Multiple comparisons problem and solutions Gareth Barnes
15.00 - 15.45
Bayesian inference Chris Mathys
15.45 - 16.15
Coffee  
16.15 - 18.00
Tutorial on group M/EEG dataset analysis Vladimir Litvak, Jason Taylor
Tuesday May 12th (33 Queen square, basement)
Time Title Speaker
9.30 - 10.15 M/EEG source analysis
Saskia Helbling
10.15 - 11.15 M/EEG source analysis – demo
Jose Lopez,
Jason Taylor / Sofie Meyer
11.15 - 11.45
Coffee  
11.45 - 12.30
The principles of DCM
Ryszard Auksztulewicz 
12.30 - 13.15 DCM for evoked responses Harriet Brown
13.15 - 14.15
Lunch  
14.15 - 15.00
DCM for steady state responses 
Rosalyn Moran
15.00 - 15.45 DCM for time-frequency responses Bernadette van Wijk
15.45 - 16.30 DCM – demo
Andre Marreiros, Martin Dietz
16.30 - 17.00
Coffee  
17.00 - 17.45 Bayesian model selection and averaging Will Penny
17.45 - 18.45 Clinic - Questions & Answers Karl Friston
19.00 - Social Event  
Wednesday May 13th


9.30 – 17.00

Practical hands-on session in UCL computer class rooms. Participants can either work on SPM tutorial datasets or on their own data with the help of the faculty. There will also be an opportunity to ask questions in small tutorial groups for further discussions on the topics of the lectures.

SPM for fMRI and MRI/VBM

Thursday 14th – Saturday 16th May 2015

Venue: Basement Lecture Theatre, 33 Queen Square, London WC1N 3BG

The course covers the analysis of neuroimaging data from functional Magnetic Resonance Imaging (fMRI) and structural MRI. The three days of the course will be divided into theoretical sessions covering experimental design and statistical inference and practical sessions in which SPM will be used to analyse exemplar data sets. This course is suitable for beginners and more advanced users, with topics ranging from image pre-processing to analysis using the General Linear Model (GLM), Voxel-Based Morphometry (VBM) and connectivity analysis using Dynamic Causal Modelling (DCM).  We advise attendees to gain at least some minimal familiarity with the methodology, for example, from reading introductory articles available from the SPM website (http://www.fil.ion.ucl.ac.uk/spm/doc/intro/). Thursday 14th May

Time Title
08:45 – 09:15 Registration and Coffee
09:15 – 09:30 Introduction to the Course
09:30 – 10:00 Overview of SPM
10:00 – 10:30 Pre-processing for fMRI – Theory
10.30 -11.00
Pre-processing for fMRI – Demo

11.00 - 11.30

Coffee
11.30 -12.00
The General Linear Model
12:00 – 12:45 Contrasts and Classical Inference
12.45 - 13.45
Lunch
13:45 – 14:15 Group Analysis
14:15 – 15:00 Random Field Theory
15.00 - 15.30
Tea
15:30 – 16:15 Segmentation and VBM – Theory
16:15 – 17:00 Segmentation and VBM – Demo
17:00 – 18:00 “Questions and Answers” Clinic

Friday 15th May

Time Title
09:30 – 10:15 Experimental Design
10:15 – 11:00 Event-related fMRI – Theory
11.00 - 11.30
Coffee
11:30 – 12:15 Event-related fMRI – Demo
12:15 – 13:00 Bayesian Inference
13.00 - 14.00
Lunch
14:00 – 15:00 Dynamic Causal Modelling for fMRI
15.00 - 15.30
Tea
15:30 – 16:30 DCM for fMRI – Advanced Topics
16:30 – 17:15
DCM for fMRI – Demo
17:15 – 18:00 “Questions and Answers” Clinic
18:30 – Social Event

PRACTICAL WORKSHOPS Saturday 16th May

Venue: Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London WC1N 3BG

Time Title
9:30 – 10:00 Introduction; Allocation of groups
10:00 – 15:30 Parallel session in small groups covering: fMRI analyses (several groups depending on attendees’ level of knowledge), Voxel-Based Morphometry (VBM) and Dynamic causal modelling (DCM)
  Coffee
16:00 – 17:00 Workshop feedback presentations

To book a place on this course please complete the application form and make a payment on the UCL Online Store

Page last modified on 20 feb 14 18:43