Ruben Gur

University of Pennsylvania

H-index: 172

North America-United States

Description

Ruben Gur, With an exceptional h-index of 172 and a recent h-index of 92 (since 2020), a distinguished researcher at University of Pennsylvania,

His recent articles reflect a diverse array of research interests and contributions to the field:

Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation

Accelerating medicines partnership® Schizophrenia (AMP® SCZ): Rationale and study design of the largest global prospective cohort study of clinical high risk for psychosis

Psychosis superspectrum I: Nosology, etiology, and lifespan development

Geospatial investigations in Colombia reveal variations in the distribution of mood and psychotic disorders

Atypical brain aging and its association with working memory performance in major depressive disorder

Remote assessment of the Penn computerised neurocognitive battery in individuals with 22q11. 2 deletion syndrome

Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study

Functional connectivity development along the sensorimotor-association axis enhances the cortical hierarchy

Professor Information

University	University of Pennsylvania
Position	___
Citations(all)	106068
Citations(since 2020)	39927
Cited By	80968
hIndex(all)	172
hIndex(since 2020)	92
i10Index(all)	711
i10Index(since 2020)	523
Email	Access Email
University Profile Page	University of Pennsylvania

Top articles of Ruben Gur

Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation

The value of normative models in research and clinical practice relies on their robustness and a systematic comparison of different modelling algorithms and parameters; however, this has not been done to date. We aimed to identify the optimal approach for normative modelling of brain morphometric data through systematic empirical benchmarking, by quantifying the accuracy of different algorithms and identifying parameters that optimised model performance. We developed this framework with regional morphometric data from 37 407 healthy individuals (53% female and 47% male; aged 3–90 years) from 87 datasets from Europe, Australia, the USA, South Africa, and east Asia following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The …

Authors

Ruiyang Ge,Yuetong Yu,Yi Xuan Qi,Yu-nan Fan,Shiyu Chen,Chuntong Gao,Shalaila S Haas,Faye New,Dorret I Boomsma,Henry Brodaty,Rachel M Brouwer,Randy Buckner,Xavier Caseras,Fabrice Crivello,Eveline A Crone,Susanne Erk,Simon E Fisher,Barbara Franke,David C Glahn,Udo Dannlowski,Dominik Grotegerd,Oliver Gruber,Hilleke E Hulshoff Pol,Gunter Schumann,Christian K Tamnes,Henrik Walter,Lara M Wierenga,Neda Jahanshad,Paul M Thompson,Sophia Frangou,Ingrid Agartz,Philip Asherson,Rosa Ayesa-Arriola,Nerisa Banaj,Tobias Banaschewski,Sarah Baumeister,Alessandro Bertolino,Stefan Borgwardt,Josiane Bourque,Daniel Brandeis,Alan Breier,Jan K Buitelaar,Dara M Cannon,Simon Cervenka,Patricia J Conrod,Benedicto Crespo-Facorro,Christopher G Davey,Lieuwe de Haan,Greig I de Zubicaray,Annabella Di Giorgio,Thomas Frodl,Patricia Gruner,Raquel E Gur,Ruben C Gur,Ben J Harrison,Sean N Hatton,Ian Hickie,Fleur M Howells,Chaim Huyser,Terry L Jernigan,Jiyang Jiang,John A Joska,René S Kahn,Andrew J Kalnin,Nicole A Kochan,Sanne Koops,Jonna Kuntsi,Jim Lagopoulos,Luisa Lazaro,Irina S Lebedeva,Christine Lochner,Nicholas G Martin,Bernard Mazoyer,Brenna C McDonald,Colm McDonald,Katie L McMahon,Sarah Medland,Amirhossein Modabbernia,Benson Mwangi,Tomohiro Nakao,Lars Nyberg,Fabrizio Piras,Maria J Portella,Jiang Qiu,Joshua L Roffman,Perminder S Sachdev,Nicole Sanford,Theodore D Satterthwaite,Andrew J Saykin,Carl M Sellgren,Kang Sim,Jordan W Smoller,Jair C Soares,Iris E Sommer,Gianfranco Spalletta,Dan J Stein,Sophia I Thomopoulos,Alexander S Tomyshev,Diana Tordesillas-Gutiérrez,Julian N Trollor,Dennis van't Ent,Odile A van den Heuvel,Theo GM van Erp,Neeltje EM van Haren,Daniela Vecchio,Dick J Veltman,Yang Wang,Bernd Weber,Dongtao Wei,Wei Wen,Lars T Westlye,Steven CR Williams,Margaret J Wright,Mon-Ju Wu,Kevin Yu

Published Date

2024/3/1

Accelerating medicines partnership® Schizophrenia (AMP® SCZ): Rationale and study design of the largest global prospective cohort study of clinical high risk for psychosis

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of …

Authors

Cassandra MJ Wannan,Barnaby Nelson,Jean Addington,Kelly Allott,Alan Anticevic,Celso Arango,Justin T Baker,Carrie E Bearden,Tashrif Billah,Sylvain Bouix,Matthew R Broome,Kate Buccilli,Kristin S Cadenhead,Monica E Calkins,Tyrone D Cannon,Guillermo Cecci,Eric Yu Hai Chen,Kang Ik K Cho,Jimmy Choi,Scott R Clark,Michael J Coleman,Philippe Conus,Cheryl M Corcoran,Barbara A Cornblatt,Covadonga M Diaz-Caneja,Dominic Dwyer,Bjørn H Ebdrup,Lauren M Ellman,Paolo Fusar-Poli,Liliana Galindo,Pablo A Gaspar,Carla Gerber,Louise Birkedal Glenthøj,Robert Glynn,Michael P Harms,Leslie E Horton,René S Kahn,Joseph Kambeitz,Lana Kambeitz-Ilankovic,John M Kane,Tina Kapur,Matcheri S Keshavan,Sung-Wan Kim,Nikolaos Koutsouleris,Marek Kubicki,Jun Soo Kwon,Kerstin Langbein,Kathryn E Lewandowski,Gregory A Light,Daniel Mamah,Patricia J Marcy,Daniel H Mathalon,Patrick D McGorry,Vijay A Mittal,Merete Nordentoft,Angela Nunez,Ofer Pasternak,Godfrey D Pearlson,Jesus Perez,Diana O Perkins,Albert R Powers III,David R Roalf,Fred W Sabb,Jason Schiffman,Jai L Shah,Stefan Smesny,Jessica Spark,William S Stone,Gregory P Strauss,Zailyn Tamayo,John Torous,Rachel Upthegrove,Mark Vangel,Swapna Verma,Jijun Wang,Inge Winter-van Rossum,Daniel H Wolf,Phillip Wolff,Stephen J Wood,Alison R Yung,Carla Agurto,Mario Alvarez-Jimenez,Paul Amminger,Marco Armando,Ameneh Asgari-Targhi,John Cahill,Ricardo E Carrión,Eduardo Castro,Suheyla Cetin-Karayumak,M Mallar Chakravarty,Youngsun T Cho,David Cotter,Simon D’Alfonso,Michaela Ennis,Shreyas Fadnavis,Clara Fonteneau,Caroline Gao,Tina Gupta,Raquel E Gur,Ruben C Gur,Holly K Hamilton,Gil D Hoftman,Grace R Jacobs,Johanna Jarcho,Jie Lisa Ji,Christian G Kohler,Paris Alexandros Lalousis,Suzie Lavoie,Martin Lepage,Einat Liebenthal,Josh Mervis,Vishnu Murty,Spero C Nicholas,Lipeng Ning,Nora Penzel,Russell Poldrack,Pablo Polosecki,Danielle N Pratt,Rachel Rabin,Habiballah Rahimi Eichi,Yogesh Rathi,Avraham Reichenberg,Jenna Reinen,Jack Rogers,Bernalyn Ruiz-Yu,Isabelle Scott,Johanna Seitz-Holland,Vinod H Srihari,Agrima Srivastava,Andrew Thompson,Bruce I Turetsky,Barbara C Walsh,Thomas Whitford,Johanna TW Wigman,Beier Yao,Hok Pan Yuen,Uzair Ahmed,Andrew Byun,Yoonho Chung,Kim Do,Larry Hendricks,Kevin Huynh,Clark Jeffries,Erlend Lane,Carsten Langholm,Eric Lin,Valentina Mantua,Gennarina Santorelli,Kosha Ruparel,Eirini Zoupou

Journal

Schizophrenia Bulletin

Published Date

2024/5/1

Psychosis superspectrum I: Nosology, etiology, and lifespan development

This review describes the Hierarchical Taxonomy of Psychopathology (HiTOP) model of psychosis-related psychopathology, the psychosis superspectrum. The HiTOP psychosis superspectrum was developed to address shortcomings of traditional diagnoses for psychotic disorders and related conditions including low reliability, arbitrary boundaries between psychopathology and normality, high symptom co-occurrence, and heterogeneity within diagnostic categories. The psychosis superspectrum is a transdiagnostic dimensional model comprising two spectra—psychoticism and detachment—which are in turn broken down into fourteen narrow components, and two auxiliary domains—cognition and functional impairment. The structure of the spectra and their components are shown to parallel the genetic structure of psychosis and related traits. Psychoticism and detachment have distinct patterns of association with …

Authors

Katherine G Jonas,Tyrone D Cannon,Anna R Docherty,Dominic Dwyer,Ruben C Gur,Raquel E Gur,Barnaby Nelson,Ulrich Reininghaus,Roman Kotov

Published Date

2024/1/10

Geospatial investigations in Colombia reveal variations in the distribution of mood and psychotic disorders

BackgroundGeographical variations in mood and psychotic disorders have been found in upper-income countries. We looked for geographic variation in these disorders in Colombia, a middle-income country. We analyzed electronic health records from the Clínica San Juan de Dios Manizales (CSJDM), which provides comprehensive mental healthcare for the one million inhabitants of Caldas.MethodsWe constructed a friction surface map of Caldas and used it to calculate the travel-time to the CSJDM for 16,295 patients who had received an initial diagnosis of mood or psychotic disorder. Using a zero-inflated negative binomial regression model, we determined the relationship between travel-time and incidence, stratified by disease severity. We employed spatial scan statistics to look for patient clusters.ResultsWe show that travel-times (for driving) to the CSJDM are less than 1 h for ~50% of the population and …

Authors

Janet Song,Mauricio Castaño Ramírez,Justin T Okano,Susan K Service,Juan de la Hoz,Ana M Díaz-Zuluaga,Cristian Vargas Upegui,Cristian Gallago,Alejandro Arias,Alexandra Valderrama Sánchez,Terri Teshiba,Chiara Sabatti,Ruben C Gur,Carrie E Bearden,Javier I Escobar,Victor I Reus,Carlos Lopez Jaramillo,Nelson B Freimer,Loes M Olde Loohuis,Sally Blower

Journal

Communications Medicine

Published Date

2024/2/21

Atypical brain aging and its association with working memory performance in major depressive disorder

BackgroundPatients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to aging. Yet, the interaction between age-related brain changes and brain development in MDD remains understudied. In a cohort of adolescents and adults with and without MDD, we assessed brain aging differences and associations through a newly developed tool quantifying normative neurodevelopmental trajectories.Methods304 MDD participants and 236 non-depressed controls were recruited and scanned from three studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for: a) differences in MDD relative to controls; b) differences in individuals with versus without severe childhood maltreatment; and c) correlations with depressive symptom severity, neurocognitive …

Authors

Natalie CW Ho,Richard AI Bethlehem,Jakob Seidlitz,Nikita Nogovitsyn,Paul Metzak,Pedro L Ballester,Stefanie Hassel,Susan Rotzinger,Jordan Poppenk,Raymond W Lam,Valerie H Taylor,Roumen Milev,Chris Adamson,Sophie Adler,Aaron F Alexander-Bloch,Evdokia Anagnostou,Kevin M Anderson,Ariosky Areces-Gonzalez,Duncan E Astle,Bonnie Auyeung,Muhammad Ayub,Jong Bin Bae,Gareth Ball,Simon Baron-Cohen,Richard Beare,Saashi A Bedford,Vivek Benegal,Richard AI Bethlehem,Frauke Beyer,John Blangero,Manuel Blesa Cábez,James P Boardman,Matthew Borzage,Jorge F Bosch-Bayard,Niall Bourke,Edward T Bullmore,Vince D Calhoun,Mallar M Chakravarty,Christina Chen,Casey Chertavian,Gaël Chetelat,Yap S Chong,Aiden Corvin,Manuela Costantino,Eric Courchesne,Fabrice Crivello,Vanessa L Cropley,Jennifer Crosbie,Nicolas Crossley,Marion Delarue,Richard Delorme,Sylvane Desrivieres,Gabriel Devenyi,Maria A Di Biase,Ray Dolan,Kirsten A Donald,Gary Donohoe,Lena Dorfschmidt,Katharine Dunlop,Anthony D Edwards,Jed T Elison,Cameron T Ellis,Jeremy A Elman,Lisa Eyler,Damien A Fair,Paul C Fletcher,Peter Fonagy,Carol E Franz,Lidice Galan-Garcia,Ali Gholipour,Jay Giedd,John H Gilmore,David C Glahn,Ian M Goodyer,PE Grant,Nynke A Groenewold,Shreya Gudapati,Faith M Gunning,Raquel E Gur,Ruben C Gur,Christopher F Hammill,Oskar Hansson,Trey Hedden,Andreas Heinz,Richard N Henson,Katja Heuer,Jacqueline Hoare,Bharath Holla,Avram J Holmes,Hao Huang,Jonathan Ipser,Clifford R Jack Jr,Andrea P Jackowski,Tianye Jia,David T Jones,Peter B Jones,Rene S Kahn,Hasse Karlsson,Linnea Karlsson,Ryuta Kawashima,Elizabeth A Kelley,Silke Kern,Ki-Woong Kim,Manfred G Kitzbichler,William S Kremen,François Lalonde,Brigitte Landeau,Jason Lerch,John D Lewis,Jiao Li,Wei Liao,Conor Liston,Michael V Lombardo,Jinglei Lv,Travis T Mallard,Machteld Marcelis,Samuel R Mathias,Bernard Mazoyer,Philip McGuire,Michael J Meaney,Andrea Mechelli,Bratislav Misic,Sarah E Morgan,David Mothersill,Cynthia Ortinau,Rik Ossenkoppele,Minhui Ouyang,Lena Palaniyappan,Leo Paly,Pedro M Pan,Christos Pantelis,Min Tae M Park,Tomas Paus,Zdenka Pausova,Deirel Paz-Linares,Alexa Pichet Binette,Karen Pierce,Xing Qian,Anqi Qiu,Armin Raznahan,Timothy Rittman,Amanda Rodrigue,Caitlin K Rollins,Rafael Romero-Garcia,Lisa Ronan,Monica D Rosenberg,David H Rowitch,Giovanni A Salum,Theodore D Satterthwaite,H Lina Schaare

Journal

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Published Date

2024/4/26

Remote assessment of the Penn computerised neurocognitive battery in individuals with 22q11. 2 deletion syndrome

Background Neurocognitive functioning is an integral phenotype of 22q11.2 deletion syndrome relating to severity of psychopathology and outcomes. A neurocognitive battery that could be administered remotely to assess multiple cognitive domains would be especially beneficial to research on rare genetic variants, where in‐person assessment can be unavailable or burdensome. The current study compares in‐person and remote assessments of the Penn computerised neurocognitive battery (CNB). Methods Participants (mean age = 17.82, SD = 6.94 years; 48% female) completed the CNB either in‐person at a laboratory (n = 222) or remotely (n = 162). Results Results show that accuracy of CNB performance was equivalent across the two testing locations, while slight differences in speed were detected in 3 of the 11 tasks. Conclusions These findings suggest that the CNB can be used in remote settings to …

Authors

LK White,N Hillman,K Ruparel,TM Moore,RS Gallagher,EJ McClellan,DR Roalf,JC Scott,ME Calkins,DE McGinn,V Giunta,O Tran,TB Crowley,EH Zackai,BS Emanuel,DM McDonald‐McGinn,RE Gur,RC Gur

Journal

Journal of Intellectual Disability Research

Published Date

2024

Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study

Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying network layout. We tested whether large-scale structural alterations in schizophrenia relate to normative structural and functional connectome architecture, and systematically evaluated robustness and generalizability of these network-level alterations. Leveraging anatomical MRI scans from 2439 adults with schizophrenia and 2867 healthy controls from 26 ENIGMA sites and normative data from the Human Connectome Project (n = 207), we evaluated structural alterations of schizophrenia against two network susceptibility models: (i) hub vulnerability, which examines associations between regional network centrality and magnitude of disease-related alterations; (ii) epicenter mapping, which identifies regions whose typical …

Authors

Foivos Georgiadis,Sara Larivière,David Glahn,L Elliot Hong,Peter Kochunov,Bryan Mowry,Carmel Loughland,Christos Pantelis,Frans A Henskens,Melissa J Green,Murray J Cairns,Patricia T Michie,Paul E Rasser,Stanley Catts,Paul Tooney,Rodney J Scott,Ulrich Schall,Vaughan Carr,Yann Quidé,Axel Krug,Frederike Stein,Igor Nenadić,Katharina Brosch,Tilo Kircher,Raquel Gur,Ruben Gur,Theodore D Satterthwaite,Andriana Karuk,Edith Pomarol-Clotet,Joaquim Radua,Paola Fuentes-Claramonte,Raymond Salvador,Gianfranco Spalletta,Aristotle Voineskos,Kang Sim,Benedicto Crespo-Facorro,Diana Tordesillas Gutiérrez,Stefan Ehrlich,Nicolas Crossley,Dominik Grotegerd,Jonathan Repple,Rebekka Lencer,Udo Dannlowski,Vince Calhoun,Kelly Rootes-Murdy,Caroline Demro,Ian S Ramsay,Scott R Sponheim,Andre Schmidt,Stefan Borgwardt,Alexander Tomyshev,Irina Lebedeva,Cyril Höschl,Filip Spaniel,Adrian Preda,Dana Nguyen,Anne Uhlmann,Dan J Stein,Fleur Howells,Henk S Temmingh,Ana M Diaz Zuluaga,Carlos López Jaramillo,Felice Iasevoli,Ellen Ji,Stephanie Homan,Wolfgang Omlor,Philipp Homan,Stefan Kaiser,Erich Seifritz,Bratislav Misic,Sofie L Valk,Paul Thompson,Theo GM van Erp,Jessica A Turner,ENIGMA Schizophrenia Consortium,Boris Bernhardt,Matthias Kirschner

Journal

Molecular Psychiatry

Published Date

2024/2/9

Functional connectivity development along the sensorimotor-association axis enhances the cortical hierarchy

Human cortical maturation has been posited to be organized along the sensorimotor-association (S-A) axis, a hierarchical axis of brain organization that spans from unimodal sensorimotor cortices to transmodal association cortices. Here, we investigate the hypothesis that the development of functional connectivity during childhood through adolescence conforms to the cortical hierarchy defined by the S-A axis. We tested this pre-registered hypothesis in four large-scale, independent datasets (total n = 3,355; ages 5-23 years): the Philadelphia Neurodevelopmental Cohort (n = 1,207), Nathan Kline Institute-Rockland Sample (n = 397), Human Connectome Project: Development (n = 625), and Healthy Brain Network (n = 1,126). In each dataset, the development of functional connectivity systematically varied along the S-A axis. Connectivity in sensorimotor regions increased, whereas connectivity in association cortices declined, refining and reinforcing the cortical hierarchy. These robust and generalizable results establish that the sensorimotor-association axis of cortical organization encodes the dominant pattern of functional connectivity development.

Authors

Audrey Luo,Valerie J Sydnor,Adam Pines,Bart Larsen,Aaron F Alexander-Bloch,Matthew Cieslak,Sydney Covitz,Andrew Chen,Nathalia Bianchini Esper,Eric Feczko,Alexandre R Franco,Raquel E Gur,Ruben C Gur,Audrey Houghton,Fengling Hu,Arielle S Keller,Gregory Kiar,Kahini Mehta,Giovanni A Salum,Tinashe Tapera,Ting Xu,Chenying Zhao,Damien A Fair,Taylor Salo,Russell T Shinohara,Michael P Milham,Theodore D Satterthwaite

Journal

BioRxiv

Published Date

2023

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