Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)

eLearning

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

Professor Douglas Steele

Home page: Go to homepage
Position: Clinical Professor, Honorary NHS Consultant

Interests:

Psychiatry, neurology, brain imaging: http://dslink333.dyndns.org/

 

 

    Institute: University of Dundee, NHS Tayside

    Department: School of Medicine (Neuroscience)


    Research Themes

    iMachine learning for individual patient predictions – diagnostic and prognostic.  Initial work focused on proof of concept studies using research data, now focused on application to routinely acquired NHS data, with a particular emphasis on fully integrating the techniques into routine clinical practice.  Recent success in obtaining MRC Programme Grant funding.

    ii) Mechanisms research, which include computational modelling of behaviour and brain function (model-based fMRI, forward translation), neurosurgical studies on therapeutic interventions for brain disorders and back translation from functional brain imaging studies on patients to animals for drug discovery.

    Techniques: structured psychiatric clinical assessment, neuropsychological testing, reinforcement learning and neuroeconomics paradigms, Matlab programming, fMRI, GABA spectroscopy, computational modelling of brain and behaviour, diffusion tensor imaging, machine learning, PET and EEG source reconstruction.

    Key Publications

    Up to date list

    Selected Publications:

     

    Steele, J.D., Paulus, M. (2019) “Pragmatic Neuroscience for Clinical Psychiatry”, British Journal of Psychiatry 215(1), 404-408

     

    Geugies, H., Mocking, R., Figueroa, C., Groot, P., Marsman, J., Servaas, M., Steele, J.D., Schene, A., Rhue, H (2019) “‘Impaired Reward-Related Learning Signals in Remitted Unmedicated Patients with Recurrent Depression” Brain (in press)

     

    Queirazza, F., Fouragnan, E., Steele, J.D., Cavanagh, J., Philiastides, M. (2019) “Neural correlates of weighted reward prediction error during reinforcement learning classify response to Cognitive Behavioural Therapy in depression” Science Advances (in press)

      

    Tolomeo, S., Christmas, D., Jentzsch, I., Johnston, B., Sprenglemeyer, R., Matthews, K., Steele, J.D. (2016) “A Causal Role for the Anterior Mid-Cingulate Cortex in Negative Affect and Cognitive Control”  Brain 139(6) 1844-1854

     

    Johnston, B.A.., Tolomeo, S, Gradin, V., Christmas, D., Matthews, K., Steele J.D. (2015) “Failure of Hippocampal Deactivation during Loss Events in Treatment-Resistant Depression” Brain 138(9) 2766-76

     

    Gradin V., Baldacchino A., Balfour D., Matthews K, Steele J.D. (2014) “Abnormal Brain Activity during a Reward and Loss Task in Opiate Dependent Patients receiving Methadone Maintenance Therapy” Neuropsychopharmacology 39(4):885-94

     

    Mwangi, B., Ebmeier K.P., Matthews, K.M., Steele, J.D. (2012) "Multicentre Diagnostic Classification of Individual Structural Neuroimaging Scans from Patients with Major Depressive Disorder", Brain 135(1) 1508-21

     

    Perrin, J., Merz, S., Bennett, D.., Currie, J., Steele J.D., Reid I., Schwarzbauer C. (2012) "Electroconvulsive Therapy Reduces Frontal Connectivity in Severe Depression", Proc Natl Acad Sci USA 109(14) 5464-8

     

    Gradin, V., Kumar, P., Waiter, G., Ahearn, T., Stickle, C., Milders, M., Reid, I., Hall, J., Steele, J.D. (2011) "Expected Value and Prediction Error Abnormalities in Depression and Schizophrenia", Brain 134(6) 1751-1764

     

    Kumar P, Waiter G, Ahearn T, Milders M, Reid I, Steele J.D. (2008) “Abnormal temporal difference reward-learning signals in major depression” Brain, 131(8) 2084-2093

     

    Rück C, Karlsson A, Steele J.D., Edman G, Meyerson B.A., Ericson K, Nyman H, Åsberg M, Svanborg P (2008) "Capsulotomy for Obsessive-Compulsive Disorder – long-term follow-up of 25 patients" JAMA Psychiatry, 65(8), 914-921

     

    Steele J.D., Christmas D., Eljamel M.S., Matthews K. (2008) “Anterior cingulotomy for major depression: Clinical outcome and relationship to lesion characteristics” Biological Psychiatry, 63(7), 670-677

     

    Steele J.D., Kumar P., Ebmeier, K.P. (2007) “Blunted response to feedback information in depressive illness”, Brain, 130 (9), 2367-74

     

    Ebmeier K., Donaghey C., Steele J.D. (2006) “Recent Developments and Current Controversies in Depression”, Lancet, 367, 153-167

     

    Steele J.D., Meyer M., Ebmeier K.P. (2004) “Neural Predictive Error Signal Correlates with Depressive Illness Severity in a Game Paradigm” NeuroImage, 23, 269-280


    Collaborators

    Universities of Edinburgh, Glasgow, St Andrews, Aberdeen, UCL and NHS

     

     


    Software Expertise

    Machine learning, Matlab programming, SPM analyses, Computational modelling of behaviour and brain function