R
Robin M. Murray
Researcher at King's College London
Publications - 1583
Citations - 128883
Robin M. Murray is an academic researcher from King's College London. The author has contributed to research in topics: Psychosis & Schizophrenia. The author has an hindex of 171, co-authored 1539 publications receiving 116362 citations. Previous affiliations of Robin M. Murray include University of Cambridge & National Institutes of Health.
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Journal ArticleDOI
Prevalence and predictors of parasuicide in chronic psychosis
Elizabeth Walsh,K. Harvey,Ian R. White,Catherine Manley,Janelle Fraser,S. Stanbridge,Robin M. Murray +6 more
TL;DR: This study estimates the prevalence of and risk factors for parasuicide in a large community‐based sample of patients with chronic psychosis.
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Ethanol preference in rats: increased consumption after intraventricular administration of tetrahydropapaveroline.
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Genetic modelling of childhood social development and personality in twins and siblings with schizophrenia.
Marco Picchioni,Muriel Walshe,Timothea Toulopoulou,Colm McDonald,Mark Taylor,Sheena Waters-Metenier,Elvira Bramon,A Regojo,Robin M. Murray,Fruhling Rijsdijk +9 more
TL;DR: Schizophrenia was significantly associated with childhood and adolescent deficits in social adjustment and personality, with additive genetic effects being the main source of these phenotypic correlations.
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Reasons for cannabis use in first-episode psychosis: Does strength of endorsement change over 12 months?
Anna Kolliakou,David J. Castle,Hannah M Sallis,Candice Joseph,Jennifer O'Connor,Ben Wiffen,Charlotte Gayer-Anderson,Grant McQueen,Heather Taylor,Stefania Bonaccorso,Fiona Gaughran,Shubulade Smith,Kathryn Greenwood,Robin M. Murray,M. Di Forti,Zerrin Atakan,Khalida Ismail +16 more
TL;DR: In this article, the authors investigated the reasons for cannabis use in first-episode psychosis (FEP) and whether strength in their endorsement changed over time, using a random intercept model to test the change in strength of endorsement over the 12 months.
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Development of multivariable models to predict change in Body Mass Index within a clinical trial population of psychotic individuals
Rebecca N. S. Harrison,Rebecca N. S. Harrison,Fiona Gaughran,Fiona Gaughran,Robin M. Murray,Sang Hyuck Lee,Sang Hyuck Lee,Jose Paya Cano,Jose Paya Cano,David Dempster,David Dempster,Charles Curtis,Charles Curtis,Danai Dima,Danai Dima,Hamel Patel,Hamel Patel,Simone de Jong,Simone de Jong,Gerome Breen,Gerome Breen +20 more
TL;DR: The best performing predictive models for BMI and BMI gain after one year used clinical data only, which suggests expression and genetic data do not improve prediction in this cohort.