S
Stephen V. Faraone
Researcher at State University of New York Upstate Medical University
Publications - 1470
Citations - 155368
Stephen V. Faraone is an academic researcher from State University of New York Upstate Medical University. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Bipolar disorder. The author has an hindex of 188, co-authored 1427 publications receiving 140298 citations. Previous affiliations of Stephen V. Faraone include University of Bergen & National Institute for Health Research.
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Journal ArticleDOI
Is age-at-onset criterion relevant for the response to methylphenidate in attention-deficit/hyperactivity disorder?
Marcelo C. Reinhardt,Lucia Pereira da Cruz Benetti,Marcelo M. Victor,Eugenio H. Grevet,Paulo Belmonte-de-Abreu,Stephen V. Faraone,Luis Augusto Rohde +6 more
TL;DR: These results concur with recent literature questioning the validity of the DSM-IV age-at-onset criterion for the diagnosis of ADHD and suggest that clinicians should consider implementing methylphenidate treatment for subjects with late-ONSet ADHD.
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Absence of significant associations between four AKT1 SNP markers and schizophrenia in the Taiwanese population
Yu-Li Liu,Cathy S.J. Fann,Chih-Min Liu,Jer-Yuarn Wu,Shuen-Iu Hung,Hung-Yu Chan,Jiahn-Jyh Chen,Chia-Ching Pan,Shih-Kai Liu,Ming H. Hsieh,Tzung-Jeng Hwang,Wen-Chen Ou-Yang,Chun-Ying Chen,Jin-Jia Lin,Frank Huang-Chih Chou,Ching-Mo Chueh,Wei-Ming Liu,M.T. Tsuang,Stephen V. Faraone,Ming T. Tsuang,Wei J. Chen,Hai-Gwo Hwu +21 more
TL;DR: Findings fail to support AKT1 as a susceptibility gene for schizophrenia in the Taiwanese population by genotyping 218 co-affected schizophrenia families.
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CBCL clinical scales discriminate ADHD youth with structured-interview derived diagnosis of oppositional defiant disorder (ODD).
TL;DR: Findings suggest that the CBCL Aggression Scale could serve as a rapid and cost-effective screening instrument to help identify cases likely to meet clinical criteria for ODD in the context of ADHD.
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Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data
Qi Chen,Yanli Zhang-James,Eric J. Barnett,Paul Lichtenstein,Jussi Jokinen,Jussi Jokinen,Brian M. D’Onofrio,Brian M. D’Onofrio,Stephen V. Faraone,Henrik Larsson,Henrik Larsson,Seena Fazel +11 more
TL;DR: By combining the ensemble method of multiple machine learning algorithms and high-quality data solely from the Swedish registers, prognostic models are developed to predict short-term suicide attempt/death with good discrimination and calibration.
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RBFOX1, encoding a splicing regulator, is a candidate gene for aggressive behavior
Noèlia Fernàndez-Castillo,Gabriela Gan,Marjolein M.J. van Donkelaar,Mariliis Vaht,Heike Weber,Wolfgang Retz,Andreas Meyer-Lindenberg,Barbara Franke,Jaanus Harro,Andreas Reif,Stephen V. Faraone,Bru Cormand +11 more
TL;DR: The cumulative evidence linking RB FOX1 to aggression behavior is reviewed and new results implicating RBFOX1 in this phenotype are provided, which strengthens the validity of the findings.