Statistical Parametric Mapping short courses

Publication date: Feb 20, 2014 6:58:34 PM

Start: Oct 15, 2014 12:00:00 AM
End: Oct 18, 2014 12:00:00 AM

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

MR Physics for SPM Users

Wednesday, 15th October 2014

Venue: 4th floor seminar room,12 Queen Square, London, WC1N 3BG

Core Faculty: WTCN Physics Group and external experts

Martina Callaghan, Oliver Josephs, Nicholas Todd, Samira Kazan, Daniel Papp, Siawoosh Mohammadi, Steffen Volz, 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.

Tentative Program:

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 Closing Remarks and Social Event
SPM for fMRI and MRI/VBM

Thursday 16th – Saturday 18th October 2014

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

The course will present instruction on the analysis and characterisation of

neuroimaging data, including Magnetic Resonance Imaging (MRI) and functional MRI

(fMRI). 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 suitable for 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

website (http://www.fil.ion.ucl.ac.uk/spm/doc/intro/).

Thursday 16th October

Time Title
08:45 – 09:00 Registration
09:00 – 09:30 Introduction and Overview
09:30 – 10:15 Spatial Preprocessing – Theory
10:15 – 11:00 Spatial Preprocessing – Demo
  Coffee
11:30 – 12:15 The General Linear Model
12:15 – 13:00 Contrasts and Classical Inference
  Lunch
14:00 – 14:30 Group Analysis
14:30 – 15:15 Random Field Theory
  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 17th October

Time Title
09:30 – 10:15 Experimental Design
10:15 – 11:00 Event-related fMRI – Theory
  Coffee
11:30 – 12:15 Event-related fMRI – Demo
12:15 – 13:00 Bayesian Inference
  Lunch
14:00 – 15:00 Dynamic Causal Modelling for fMRI
15:00 – 15:45 DCM for fMRI – Demo
  Tea
16:15 – 17:15 DCM for fMRI – Advanced Topics
17:15 – 18:00 “Questions and Answers” Clinic
18:30 – Social Event

PRACTICAL WORKSHOPS Saturday 18th October

Venue: 4th Floor Seminar Room, 12 Queen Square

Time Title
9:30 – 10:00 Introduction; Allocation of groups
10:00 – 15:30

Parallel session in small groups covering: fMRI analyses (several

levels), Voxel-Based Morphometry (VBM) and Dynamic causal modelling (DCM).

  Coffee
16:00 – 17:00 Workshop feedback presentations

To book a place on the course please complete the application form and pay online at the UCL Online Store

Page last modified on 20 feb 14 18:43