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R.E. Gur

Researcher at University of Pennsylvania

Publications -  60
Citations -  3833

R.E. Gur is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Schizophrenia & Schizophrenia (object-oriented programming). The author has an hindex of 25, co-authored 60 publications receiving 3194 citations. Previous affiliations of R.E. Gur include Hospital of the University of Pennsylvania & Children's Hospital of Philadelphia.

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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.
Journal ArticleDOI

Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

Sinead Kelly, +191 more
- 01 May 2018 - 
TL;DR: The present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide, and is believed to be the first ever large-scale coordinated study of WM microstructural differences in schizophrenia.
Journal ArticleDOI

Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation.

TL;DR: The authors believe that their technique to analyze MR images of the brain performed with acceptable levels of accuracy and reliability and that it can be used to measure brain and CSF volumes for clinical research.
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Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions.

Solveig K. Sieberts, +100 more
- 12 Oct 2020 - 
TL;DR: A colocalization analysis is applied to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalized with lncRNA RP11-677M14.