讲座简介

Mental illness accounts for 28% of disease burden among non-communicable diseasesi. Environmental factors account for up to 20% of the attributable risk for mental disorders. The greatest burden of mental disorders rests in Low and Middle Income Countries (LMIC) with large populations and environmental and sociocultural factors distinct from High Income Countries (HIC). Here we shall present approaches to develop precision medicine in psychiatry adapted to different geographical and sociocultural conditions through (i) the identification of brain mechanisms underlying reinforcement-related behaviour in adolescents of the neuroimaging-genetics IMAGEN study and (ii) the characterisation of neurobehavioural symptom groups based on shared brain mechanisms, (iii) novel measurements of the effects of urbanisation on brain development and behaviour In China and Europe by combining remote sensing satellite data with measures of behaviour and brain, and (iv) providing an outlook on complementing satellite-based urbanisation data with momentary ecological monitoring using a mobile phone app ‘Urban Mind’.

主讲人简介

Gunter Schumann holds a Chair in Biological Psychiatry at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London and is an Honorary Consultant Psychiatrist at the South London and Maudsley NHS Trust. He directs the Centre for Population Neuroscience and Stratified Medicine (PONS) at KCL, a joint operation with ISTBI at Fudan University. Before joining the IoPPN he has trained and worked at Harvard University, the University of Freiburg and the Central Institute of Mental Health, University of Heidelberg, Germany. His research interests are in etiological and diagnostic stratification of psychiatric disorders to identify neurobehavioural phenotypes for the development of predictive and prognostic biomarkers. He has developed a broad scientific network of international collaborators, to address important challenges to global mental health and urbanization by combining state of the art clinical neuroscience methods and epidemiological techniques with highly advanced expertise in computer science and biostatistics.