Research community
Cambridge has a large and vibrant research community that conducts world-leading work with direct implications for understanding mental health disorders. The Cambridge Neuroscience Interdisciplinary Research Centre comprises more than 850 clinical and non-clinical scientists, coordinated around themes closely related to our sub-themes. This network supports collaborations across diverse disciplines, removing traditional boundaries between basic and translational science.
Our expanding multidisciplinary research programme in adolescent development focuses investigation at the age of peak incidence for many mental health disorders. Similarly, recent funding for a regional Children’s Hospital/Research Institute (East of England) will strengthen the connection between physical and psychological medicine and promote translation of findings. Our established expertise will enable BRC funding to add immediate value to a critical mass of existing research, increasing the potential for therapeutic innovation, especially in autism, addiction, depression, psychosis, obsessive–compulsive disorder and post-traumatic stress disorder, as well as for approaches that span many different conditions.
Regionally, we collaborate across the East of England (e.g. Anglia Ruskin University, University of East Anglia) in research related to psychotic disorders, immunology, informatics, psychological therapies). Nationally, we collaborate closely with several BRCs; (Maudsley BRC, informatics, immunology, epidemiology; UCLH BRC, neuroimaging, Bristol BRC informatics/epidemiology; Nottingham BRC digital).
Predisposition Footprints in the Somatic Genome of Wilms tumour
Deconstructing delay discounting in human cocaine addiction using computational modelling and neuroimaging
How sleep in patients with serious mental illness is recorded and treated, and its impact on service engagement
Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004–2019).
Associations between rural/urban status, duration of untreated psychosis and mode of onset of psychosis: a mental health electronic clinical records analysis in the East of England, UK.