The course will provide a detailed introduction to the analysis of EEG and MEG data. The first three days will combine theoretical presentations with practical demonstrations of the data analysis methods implemented in SPM. On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty. We also invite students to bring their own data for analysis. 

The course is suitable for both beginners and more advanced users. We advise students to gain at least some minimal familiarity with the methodology, for example, by checking preparatory materials (https://www.fil.ion.ucl.ac.uk/spm/docs/courses/eeg_meg/preparatory_materials/) or by scanning through Litvak et al. (2011) ‘EEG and MEG data analysis in SPM8’, Comput Intell Neurosci 2011:852961.

This two-day course (run by the UCL Queen Square Institute of Neurology) is designed for consultants and trainees at all levels in neurology and other neuroscience specialties, from the UK, Europe and worldwide, and aims to provide a practical update on the hospital management of neurological diseases. The focus of the course is on everyday neurological practice which will include lectures and a neuroimaging quiz. Refreshments and hot lunch provided. The course will be didactic, but also entertaining and informative.

If you are having difficulties in booking this course please contact us on the following :-

ion.educationteam@ucl.ac.uk

The Institute of Neurology offers a limited number of undergraduate Elective placements, to final year medical students from the UK and abroad, which are booking at least 18 months in advance. These placements are not strictly structured - it is advisable to be as pro-active as possible. It is up to the individual student to choose the activities they wish to attend, within their assigned clinical group/formal teaching programme, which would most benefit them during their placement.  

26th May 2026 – MRI Physics Primer (Optional)

27-29th May 2026 – SPM for MRI Course

This in-person course introduces Magnetic Resonance Imaging (MRI) and functional MRI (fMRI) for human neuroimaging research.

An optional 1-day MRI Physics Primer, introducing the fundamentals of MRI, is provided at the start of the course. This is followed by the Statistical Parametric Mapping (SPM) for MRI Course, which covers:

- Experimental design

- Pre-processing brain images

- Quantifying structural changes in the brain (Voxel-Based Morphometry, VBM)

- Quantifying brain function (using the General Linear Model, GLM)

- Statistics for neuroimaging (frequentist and Bayesian)

- Connectivity analysis (Dynamic Causal Modelling, DCM)

The course is divided into theoretical and practical sessions, in which the SPM software package is used to analyse exemplar data sets. It is suitable for beginners and more advanced users.

More information about the content and learning objectives of the courses can be found here