Upcoming Events

ISMRM Workshop on MR Value Mar 11, 2019 - Mar 13, 2019 — University of Edinburgh
European Molecular Imaging Meeting 2019 Mar 19, 2019 - Mar 22, 2019 — Scottish Event Campus, Glasgow
2nd International Conference on Medical Imaging with Deep Learning Jul 08, 2019 - Jul 10, 2019 — ICL South Kensington Campus, London
4th International Workshop on Image Processing Techniques and Applications Jul 22, 2019 - Jul 23, 2019 — Centre for Mathematical Imaging Techniques (CMIT), University of Liverpool, England
Medical Image Understanding and Analysis Conference 2019 Jul 24, 2019 - Jul 26, 2019 — University of Liverpool, England

Professor Douglas Steele

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Position: Professor of NeuroImaging, Consultant Psychiatrist


Mood Disorder and Addictions, Anxiety/Panic Disorders, Schizophrenia, Dementia, Neurological Disorders (e.g. Dystonia, Chronic Pain Syndromes)


    Institute: University of Dundee

    Department: School of Medicine (Neuroscience)

    Research Themes

    Translational Systems Level Neuroscience

    • mechanistic understanding of psychiatric and neurological disorders
    • identification of objective biomarkers for psychiatric and neurological disorders

    Psychiatry remains entirely clinical and therefore subjective with no objective biomarkers to guide clinical practice and research.  For most of the rest of medicine, biomarkers are of crucial importance.  Consequently, development of psychiatric biomarkers is a priority which my work aims to address.  The work is fundamentally translational.

    I am interested in a range of common psychiatric disorders, aiming to improve understanding of illness and therapeutic mechanisms, with a focus on treatment resistant illness.  Two themes particularly interest me: a) the 'biology-phenomenology gap', whereby current clinical and psychological understanding is profoundly separated from biological understanding of medication effects, due to a fundamental lack of understanding of the brain at a 'systems' level, and b) the identification of objective biomarkers for psychiatric disorders, for individual patient management.

    Regarding the first theme, my approach to achieving a better understanding of syndrome and therapeutic mechanisms uses neuroimaging based studies of psychiatric disorders, focusing largely on the use of reinforcement learning (also neuroeconomic) paradigms, sometimes involving computational models of brain function.   A recent focus is testing Deakin and Graeff’s predictions about depressive illness using loss-avoidance and reward-gain instrumental learning.

    With regard to the second theme, my focus is on the development of machine learning-based methods, to identify biomarkers for accurately predicting clinically relevant variables for individual patients.  Initial publications were ‘proof of concept’ studies for situations where the ‘gold standard’ was well established clinically.  A recent focus is making accurate individual patient predictions where none are otherwise currently possible (e.g. ADHD medication response prior to exposure to methylphenidate, determining an accurate risk score for dementia for elderly patients presenting with Mild Cognitive Impairment).

    Key Publications

    Up to date list

    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 (in press)

    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", Brain135(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", Brain134(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


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




    Software Expertise

    Matlab programming

    Computational modelling of behaviour and brain function

    Machine learning

    SPM analyses