This short course offered by the world leading UCL Queen Square Institute of Neurology will give an overview of using neuroimaging and mechanical thrombectomy to treat people who have had a stroke. This course will outline methods of quantifying the impact of the stroke using advanced imaging techniques– from penumbral and core infarct size through to methods of imaging recovery from stroke. It will also cover the more familiar aspects of imaging stroke such as using CT and MRI based modalities to evaluate infarcts and haemorrhages.

By the end of this course you should be able to:

• Select the appropriate imaging modality to evaluate a stroke case
• Identify the affected artery on the basis of a clinical stroke syndrome
• Evaluate the current evidence for endovascular treatment and common complications of this treatment

Examples of lecture topics:

• Ischaemic stroke
• Haemorrhagic stroke
• Introduction to imaging for stroke
• Endovascular treatment

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.  

This three-day  online course introduces the analysis of neuroimaging data, including Magnetic Resonance Imaging (MRI) and functional MRI (fMRI). It 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 will be divided into theoretical and practical sessions, in which the SPM software package will be used to analyse exemplar data sets. The SPM course is taught by an international faculty of neuroimaging experts from the Department of Imaging Neuroscience, including the Functional Imaging Laboratory, and collaborators.

The course is suitable for beginners and more advanced users.

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