IoN EVENTS http://www.ucl.ac.uk/ion/events-viewer/rss Mark Skinsley 2011-04-15T13:59:08Z Advanced Neurology Short Courses http://www.ucl.ac.uk/ion/articles/events/neurologyshortcourse2012 Monday 21st May – Rehabilitation after Acquired Brain Injury Tuesday 22nd May – Dementia Wednesday 23rd May – Movement Disorders Thursday 24th May – Sleep Friday 25th May – New technologies in the Neuro-Ophthalmology Clinic: including OCT, Automated Perimetry and Saccadic measurements David R Blundred 2012-01-20T14:42:50Z 2012-05-20T23:00:00Z 2012-05-24T23:00:00Z 12th Annual Course: Neuroradiology & Functional Neuroanatomy http://www.ucl.ac.uk/ion/articles/events/12thannualcourse The Course: Anatomical localisation of function is a fundamental principle in the neurosciences.  This four day 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. Course Organisers: Prof Tarek Yousry (Division of Neuroradiology, UCL Institute of Neurology, London. UK) Prof Christopher Yeo (Department of Neuroscience, Physiology & Pharmacology, University College London. UK) Prof Thomas Naidich (Mount Sinai School of Medicine, New York. USA) Programme: To view the draft programme please click here Lectures held: Lecture Theatre, Lower ground Floor, Clinical Neurosciences Building, 33 Queen Square. London. WC1N 3BG For further details and to book a place (Internal Places FULL), please contact: Click here for Booking Form/Registration Fee details Email: patricia.cheng@ucl.ac.uk Tel: 0044 (0)20 3448 3465 David R Blundred 2011-10-05T11:54:07Z Lecture Theatre, 33 Queen Square 2012-04-15T23:00:00Z 2012-04-18T23:00:00Z Statistical Parametric Mapping May 2012 http://www.ucl.ac.uk/ion/articles/events/SPM We provide two separate SPM courses reflecting the different imaging modalities.  There is a three-day course on ‘SPM for EEG/MEG’ followed by the long-established three-day course on ‘SPM for fMRI’.  Both courses are 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 web page or by following data analysis examples in the SPM manual. admin lshepherd 2010-02-05T10:05:27Z 2012-05-13T23:00:00Z 2012-05-18T23:00:00Z