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Stephen M. Lawrie

Researcher at University of Edinburgh

Publications -  527
Citations -  36988

Stephen M. Lawrie is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Schizophrenia & Psychosis. The author has an hindex of 90, co-authored 488 publications receiving 32376 citations. Previous affiliations of Stephen M. Lawrie include University of Dundee & University of Bari.

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Psychological autopsy studies of suicide: a systematic review.

TL;DR: In this paper, a systematic review aimed to examine the results of studies of suicide that used a psychological autopsy method, which offers the most direct technique currently available for examining the relationship between particular antecedents and suicide.
Journal Article

Psychological autopsy studies of suicide: a systematic review. (vol 33, pg 395, 2003)

TL;DR: The results indicated that mental disorder was the most strongly associated variable of those that have been studied and suicide prevention strategies may be most effective if focused on the treatment of mental disorders.
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Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

T.G.M. van Erp, +66 more
- 01 Apr 2016 - 
TL;DR: Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches, and validates that collaborative data analyses can readily be used across brain phenotypes and disorders.
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Brain abnormality in schizophrenia. A systematic and quantitative review of volumetric magnetic resonance imaging studies.

TL;DR: Several brain structures in schizophrenia are affected to a greater extent than expected from overall reductions in brain volume, and substantial reductions were also evident in the amygdala and hippocampus.
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Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar, +344 more
- 09 Apr 2015 - 
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.