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Statistical Parametric Mapping short courses - October 2015

Publication date: Feb 20, 2014 06:58 PM

Start: Oct 07, 2015 12:00 AM
End: Oct 10, 2015 12:00 AM

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

1) Statistical Parametric Mapping Short Course MR Physics for SPM Users
Wednesday 7th October 2015

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.

A maximum of 40 places are available on this course

FEE: £120

Venue: 4th floor Seminar Room, 12 Queen Square, London, WC1N 3BG


2) Statistical Parametric Mapping for fMRI and MRI/VBM 2015
Thursday 8th, Friday 9th and Saturday, 10th October 2015

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

A maximum of 40 places are available on this course

FEE: £600; (£400 for students on receipt of written confirmation of status).

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

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

Please contact jean.reynolds@ucl.ac.uk for further information.

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