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Rudolf Uher

Dados Biográficos

ID6463419
NOMERudolf Uher
PRENOMESRudolf
SOBRENOMEUher
ASSINATURAUHER R
AFILIAÇÕESDalhousie University
ORCID0000-0002-2998-0546
VERIFICADOSim
TOTAL DE OBRAS11
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR11
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2006
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H1
  • Rasch analyses of the Quick Inventory of Depressive Symptomatology Self-Report in neurodegenerative and major depressive disorders

    Open Access•Anthony L Vaccarino, Sandra E Black et al.•ARTICLE•Frontiers in Psychiatry•2023

    The present study supports the use of the QIDS-SR in MDD and suggest that the QIDS-SR can be also used to screen for depressive symptoms in persons with ND. However, gaps in item targeting were noted that suggests that the QIDS-SR cannot differentiate participants falling within certain severity levels. Future studies would benefit from examination in a more severely depressed ND cohort, including those with diagnosed clinical depression

  • Time for united action on depression

    Open Access•Helen Herrman, Vikram Patel et al.•ARTICLE•The Lancet•2022

  • Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data

    Open Access•Anthony L Vaccarino, Derek Beaton et al.•ARTICLE•Frontiers in Psychiatry•2022

    The Ontario Brain Institute's "Brain-CODE" is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both…

  • Parental Overprotection and Sleep Problems in Young Children

    Open Access•Alex Pizzo, Andrea Sandstrom et al.•ARTICLE•Child Psychiatry & Human…•2021

  • Sleep in Offspring of Parents With Mood Disorders

    Open Access•Delainey L Wescott, Jessica Morash-Conway et al.•ARTICLE•Frontiers in Psychiatry•2019

    Background: Sleep problems in childhood are an early predictor of mood disorders among individuals at high familial risk. However, the majority of the research has focused on sleep disturbances in already diagnosed individuals and has largely neglected investigating potential differences between weeknight and weekend sleep in high-risk offspring. This study examined sleep parameters in offspring of parents with major depressive disorder or bipola…

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Open Access•eQTLGen eQTLGen, Naomi R Wray et al.•ARTICLE•Nature Genetics•2018

  • Childhood Maltreatment Predicts Unfavorable Course of Illness and Treatment Outcome in Depression

    Valentina Nanni, Rudolf Uher et al.•ARTICLE•American Journal of Psychiatry•2012

  • Subliminal food images compromise superior working memory performance in women with restricting anorexia nervosa

    Open Access•Samantha J Brooks, Owen O’Daly et al.•ARTICLE•Consciousness and Cognition•2012

  • Genetic Sensitivity to the Environment

    Avshalom Caspi, Ahmad R Hariri et al.•ARTICLE•American Journal of Psychiatry•2010

    Evidence of marked variability in response among people exposed to the same environmental risk implies that individual differences in genetic susceptibility might be at work. The study of such Gene-by-Environment (GxE) interactions has gained momentum. In this article, the authors review research about one of the most extensive areas of inquiry: variation in the promoter region of the serotonin transporter gene (SLC6A4; also known as 5-HTT) and i…

  • The Genetics of Mental Illness

    Open Access•Rudolf Uher•ARTICLE•Adoption & Fostering•2010•Citada por: 3

  • Withdrawn

    Open Access•H C Freidrich, I Campbell et al.•ARTICLE•Appetite•2006

  • The Genetics of Mental Illness

    Open Access•Rudolf Uher•ARTICLE•Adoption & Fostering•2010•Citada por: 3

  • Withdrawn

    Open Access•H C Freidrich, I Campbell et al.•ARTICLE•Appetite•2006

  • Genetic Sensitivity to the Environment

    Avshalom Caspi, Ahmad R Hariri et al.•ARTICLE•American Journal of Psychiatry•2010

    Evidence of marked variability in response among people exposed to the same environmental risk implies that individual differences in genetic susceptibility might be at work. The study of such Gene-by-Environment (GxE) interactions has gained momentum. In this article, the authors review research about one of the most extensive areas of inquiry: variation in the promoter region of the serotonin transporter gene (SLC6A4; also known as 5-HTT) and i…

  • The Genetics of Mental Illness

    Open Access•Rudolf Uher•ARTICLE•Adoption & Fostering•2010•Citada por: 3

  • Childhood Maltreatment Predicts Unfavorable Course of Illness and Treatment Outcome in Depression

    Valentina Nanni, Rudolf Uher et al.•ARTICLE•American Journal of Psychiatry•2012

  • Subliminal food images compromise superior working memory performance in women with restricting anorexia nervosa

    Open Access•Samantha J Brooks, Owen O’Daly et al.•ARTICLE•Consciousness and Cognition•2012

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Open Access•eQTLGen eQTLGen, Naomi R Wray et al.•ARTICLE•Nature Genetics•2018

  • Sleep in Offspring of Parents With Mood Disorders

    Open Access•Delainey L Wescott, Jessica Morash-Conway et al.•ARTICLE•Frontiers in Psychiatry•2019

    Background: Sleep problems in childhood are an early predictor of mood disorders among individuals at high familial risk. However, the majority of the research has focused on sleep disturbances in already diagnosed individuals and has largely neglected investigating potential differences between weeknight and weekend sleep in high-risk offspring. This study examined sleep parameters in offspring of parents with major depressive disorder or bipola…

  • Parental Overprotection and Sleep Problems in Young Children

    Open Access•Alex Pizzo, Andrea Sandstrom et al.•ARTICLE•Child Psychiatry & Human…•2021

  • Time for united action on depression

    Open Access•Helen Herrman, Vikram Patel et al.•ARTICLE•The Lancet•2022

  • Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data

    Open Access•Anthony L Vaccarino, Derek Beaton et al.•ARTICLE•Frontiers in Psychiatry•2022

    The Ontario Brain Institute's "Brain-CODE" is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both…

  • Rasch analyses of the Quick Inventory of Depressive Symptomatology Self-Report in neurodegenerative and major depressive disorders

    Open Access•Anthony L Vaccarino, Sandra E Black et al.•ARTICLE•Frontiers in Psychiatry•2023

    The present study supports the use of the QIDS-SR in MDD and suggest that the QIDS-SR can be also used to screen for depressive symptoms in persons with ND. However, gaps in item targeting were noted that suggests that the QIDS-SR cannot differentiate participants falling within certain severity levels. Future studies would benefit from examination in a more severely depressed ND cohort, including those with diagnosed clinical depression

Psychology (9 obras) · Psychiatry (7 obras) · Clinical Psychology (5 obras) · Clinical Psychology (4 obras) · Developmental psychology (4 obras) · Medicine (4 obras) · Anxiety (3 obras) · Biology (3 obras) · Child and Adolescent Psychosocial and Emotional Development (3 obras) · Association (psychology) (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae