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Statistical Parametric Mapping Short Course MR Physics for SPM Users

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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

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

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 Institute also offers an extensive teaching programme. For more information concerning this or any of the other courses available at the Institute please contact theEducation Unit.


October 23, 2013
October 26, 2013


UCL Institute of Neurology
Queen Square, London, WC1N 3BG United Kingdom

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