9th SINAPSE Neuro-oncology Imaging Meeting [rescheduled] Mar 11, 2021 09:30 AM - 03:30 PM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN
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SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Grey matter changes can improve the prediction of schizophrenia in subjects at high risk

Author(s): D. E. Job, H. C. Whalley, A. M. McIntosh, D. G. Owens, E. C. Johnstone, S. M. Lawrie

BACKGROUND: We hypothesised that subjects at familial high risk of developing schizophrenia would have a reduction over time in grey matter, particularly in the temporal lobes, and that this reduction may predict schizophrenia better than clinical measurements. METHODS: We analysed magnetic resonance images of 65 high-risk subjects from the Edinburgh High Risk Study sample who had two scans a mean of 1.52 years apart. Eight of these 65 subjects went on to develop schizophrenia an average of 2.3 years after their first scan. RESULTS: Changes over time in the inferior temporal gyrus gave a 60% positive predictive value (likelihood ratio >10) of developing schizophrenia compared to the overall 13% risk in the cohort as a whole. CONCLUSION: Changes in grey matter could be used as part of a predictive test for schizophrenia in people at enhanced risk for familial reasons, particularly for positive predictive power, in combination with other clinical and cognitive predictive measures, several of which are strong negative predictors. However, because of the limited number of subjects, this test requires independent replication to confirm its validity.

Full version: Available here

Click the link to go to an external website with the full version of the paper

ISBN: 1741-7015 (Electronic) 1741-7015 (Linking)
Publication Year: 2006
Periodical: BMC Med
Periodical Number:
Volume: 4
Pages: 29
Author Address: Division of Psychiatry, School of Molecular and Clinical Medicine, The University of Edinburgh, The Royal Edinburgh Hospital, Morningside Park, Edinburgh, Scotland, EH10 5HF, UK. djob@staffmail.ed.ac.uk