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Statistical Parametric Mapping Courses

Statistical Parametric Mapping Short Course MR Physics for SPM Users


Wednesday, 23rd October 2013



Wellcome Trust Centre for Neuroimaging
UCL Institute of Neurology
Queen Square, London, UK

Faculty: WTCN Physics Group and external experts
Martina Callaghan, Oliver Josephs, Antoine Lutti, Siawoosh Mohammadi, Zoltan Nagy, Nikolaus Weiskopf


The course introduces the basics and some advanced topics of magnetic resonance imaging (MRI) used for human neuroimaging. Emphasis is placed on the relationship between the physics background, data acquisition methods and the interaction with data analysis, particularly, SPM. Practical guidelines for data acquisition and optimized protocols are provided. The main areas covered are: basic MR physics, functional MRI, anatomical MRI, diffusion weighted imaging and image artifacts. Advanced topics include quantitative MRI including myelin mapping, correction of susceptibility artifacts in fMRI and advanced post-processing of DTI data.

Wednesday, 23rd October 2013 Basement Lecture Theatre     33 Queen Square

Time 
Title 
8.45-9.30 Registration and Welcome
9.30-10.30 MRI Basics
10.30-11.00
MR Imaging 
11.00-11.30 Coffee Break
11.30-12.15 Functional MRI 1
12.15-13.15
Functional MRI 2  
13.15-14.15
Lunch
14.15-15.15 Anatomical MRI 
15.15-16.15 
Diffusion MRI  
16.15-16.45 Tea Break
16.45-17.30 
Artifacts  
17.30-18.30 Case Study and Open Discussion
18.30 losing Remarks and Social Event

Statistical Parametric Mapping Short Course SPM for fMRI and MRI/VBM- FULL

Thursday 24th – Saturday 26th October 2013

SPM for fMRI and MRI/VBM for new users

Wellcome Trust Centre for Neuroimaging
UCL Institute of Neurology
Queen Square, London, UK

The course will present instruction on the analysis and characterisation of neuroimaging data, including: Magnetic Resonance Imaging (MRI), functional MRI (fMRI) and Positron Emission Tomography (PET). The three-day 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 intended for new SPM users; a course suitable for those with previous experience of SPM will be held in May 2014. We advise students 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 24th October     Basement Lecture Theatre     33 Queen Square   

Time
Title
08:45 – 09:00 Registration
09:00 – 09:30  
Welcome: Introduction and Overview
09:30 – 10:15 Spatial Preprocessing – Theory  
10:15 – 11:00 Spatial Preprocessing – Demo  
11.00 - 11.30
Coffee
11:30 – 12:15 
The General Linear Model
12:15 – 13:00 Contrasts and Classical Inference
13.00 - 14.00
Lunch
14:00 – 14:30 Group Analysis
14:30 – 15:15 
Random Field Theory 
15.15 - 15.45
Tea
15:45 – 16:30 Demo: block-design fMRI Analysis
16:30 – 17:15 Voxel-Based Morphometry
17:15 – 18:00  “Questions and Answers” Clinic 



Friday 25th October     Basement Lecture Theatre     33 Queen Square

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 – 15:45 DCM for fMRI – Advanced Topics
15.45 - 16.15 Tea  
16:15 – 17:00 DCM for fMRI – Demo
17:00 – 18:00  “Questions and Answers” Clinic
18:30 – Social Event      

PRACTICAL WORKSHOPS   
Saturday 26th October     4th Floor Seminar Room     12 Queen Square

Time Title
9:30 – 10:00 Introduction; Allocation of Groups
10:00 – 15:30 One of the parallel sessions below
  Coffee (Conservatory, ground floor)
16:00 – 17:00 Workshop feedback presentations 

Available parallel sessions        Seminar Room  

  • PET data analysis        
  • Voxel-based morphometry        
  • fMRI – block design
  • fMRI – event-related designs        
  • fMRI and group analysis        
  • Dynamic causal modelling     


To apply please download the application form


The UCL Institute of Neurology promotes teaching and research of the highest quality in neurology and the neurosciences. The Institute of Neurology and the National Hospital for Neurology and Neurosurgery are members of  UCL Partners, Europe's largest academic health science partnership.