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 watching the course lectures from previous years at https://www.youtube.com/watch?v=jDGTJrX8W1Y&list=PLRy9lLgsfh6eE3KypoHU0pMK0RaV-rhOd  or by scanning through Litvak et al. (2011) ‘EEG and MEG data analysis in SPM8’, Comput Intell Neurosci 2011:852961."

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.  

Course Directors: Dr Jeremy Rees

The National Hospital for Neurology and Neurosurgery, University College London Hospitals Foundation Trust & UCL Queen Square Institute of Neurology

The need for multidisciplinary working in neuro-oncology is well established but a common theme that will be addressed is the need for better understanding between core specialties within the Neuro-oncology Multidisciplinary Team.

To address this, this course has been designed for Trainees, Consultants and Clinical Nurse Specialists in the core specialities of neuro-oncology – Neurology, Neurosurgery, Clinical Oncology, Neuroradiology, Neuropathology and Palliative Care.

The Aims of the Course are:

1. To introduce the basic principles and recent advances in Neuro-oncological treatments
2. To develop a standardised approach to the diagnosis and classification of brain and spinal tumours using modern imaging, histopathology and molecular genetic techniques.
3. To develop an understanding of the multidisciplinary management of patients with primary and metastatic brain and spine tumours, and other rarer tumours of the nervous system.
4. To develop an understanding of the symptomatic management of the brain tumour patient with neurological symptoms, including palliative and end-of-life care and treatment related toxicity.
5. To provide an opportunity for multidisciplinary discussion of common and rare cases

Thank you for your booking. The course is being organised by the Education Team at the UCL Queen Square Institute of Neurology. If you have any questions please contact [email protected]

This renowned Neuroradiology & Functional Neuroanatomy course is running its 21^st year.

This four-day course, organised by Prof Tarek Yousry (UCL Institute of Neurology & National Hospital for Neurology & Neurosurgery), Prof Christopher Yeo (University College of London) and Prof Thomas Naidich (Mount Sinai New York), will consist of Lectures, Anatomy and PACS Workshops.

This course will correlate gross anatomy with neuroimaging and functional MRI to illustrate normal neurological function, the alterations that attend disease, and the bases for the clinical features seen in patients.

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.