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Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth.
Kaczkurkin, Antonia N; Moore, Tyler M; Sotiras, Aristeidis; Xia, Cedric Huchuan; Shinohara, Russell T; Satterthwaite, Theodore D.
Afiliación
  • Kaczkurkin AN; Department of Psychology, Vanderbilt University, Nashville, Tennessee.
  • Moore TM; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Sotiras A; Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri; Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
  • Xia CH; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Shinohara RT; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Satterthwaite TD; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: sattertt@pennmedicine.upenn.edu.
Biol Psychiatry ; 88(1): 51-62, 2020 07 01.
Article en En | MEDLINE | ID: mdl-32087950
ABSTRACT
Psychiatric disorders show high rates of comorbidity and nonspecificity of presenting clinical symptoms, while demonstrating substantial heterogeneity within diagnostic categories. Notably, many of these psychiatric disorders first manifest in youth. We review progress and next steps in efforts to parse heterogeneity in psychiatric symptoms in youths by identifying abnormalities within neural circuits. To address this fundamental challenge in psychiatry, a number of methods have been proposed. We provide an overview of these methods, broadly organized into dimensional versus categorical approaches and single-view versus multiview approaches. Dimensional approaches including factor analysis and canonical correlation analysis aim to capture dimensional associations between psychopathology and brain measures across a continuous spectrum from health to disease. In contrast, categorical approaches, such as clustering and community detection, aim to identify subtypes of individuals within a class of symptoms or brain features. We highlight several studies that apply these methods to samples of youths and discuss issues to consider when using these approaches. Finally, we end by highlighting avenues for future research.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Psiquiatría / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Revista: Biol Psychiatry Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Psiquiatría / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Revista: Biol Psychiatry Año: 2020 Tipo del documento: Article