The next SPM course on using Statistical Parametric Mapping for neuroimaging will take place on 12th-14th October 2017 and is organised by the WTCN Methods Group as part of UCL Institute of Neurology's short course programme.
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 spatial preprocessing, experimental design, statistical inference and dynamic causal modelling, and practical sessions in which the SPM software 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 or by following data analysis examples in the SPM manual.
A satellite short course on MR Physics for SPM Users will take place on 11th October 2017 organised by the WTCN Physics Group.
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. Advanced topics include quantitative MRI, rapid data acquisitions (e.g. multiband), diffusion weighted imaging. This course is composed of a mix of lectures and exercise sessions.