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Threat Neurocircuitry Predicts the Development of Anxiety and Depression Symptoms in a Longitudinal Study.
Peng, Yujia; Knotts, Jeffrey D; Young, Katherine S; Bookheimer, Susan Y; Nusslock, Robin; Zinbarg, Richard E; Kelley, Nicholas J; Echiverri-Cohen, Aileen M; Craske, Michelle G.
Afiliación
  • Peng Y; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China; Institute for Artificial Intelligence, Peking University, Beijing, China; Beijing Institute for General Artificial Intelligence, Beijing, China; Department of P
  • Knotts JD; Department of Psychology, University of California, Los Angeles, Los Angeles, California; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire.
  • Young KS; Department of Psychology, University of California, Los Angeles, Los Angeles, California; Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; NIHR Maudsley Biomedical Research Centre, King's College L
  • Bookheimer SY; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California.
  • Nusslock R; Department of Psychology, Northwestern University, Evanston, Illinois.
  • Zinbarg RE; Department of Psychology, Northwestern University, Evanston, Illinois; Family Institute at Northwestern University, Evanston, Illinois.
  • Kelley NJ; Department of Psychology, Northwestern University, Evanston, Illinois; Department of Psychology, University of Southampton, Southampton, United Kingdom.
  • Echiverri-Cohen AM; Department of Psychology, University of California, Los Angeles, Los Angeles, California.
  • Craske MG; Department of Psychology, University of California, Los Angeles, Los Angeles, California; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California. Electronic address: MCraske@mednet.ucla.edu.
Article en En | MEDLINE | ID: mdl-35031524
BACKGROUND: Owing to high heterogeneity and comorbidity, the shared and unique neural mechanisms underlying the development of anxiety and major depressive disorders remain unclear. Using a dimensional model describing shared versus unique symptoms associated with anxiety and depression, this study investigated how longitudinal changes in symptom dimensions relate to threat neurocircuitry. METHODS: Participants were 18- to 19-year-olds (N = 279, 186 females) who completed self-report measures of anxiety and depression at baseline and at 10, 20, and 30 months. Linear slopes of symptom dimensions of general distress, fear, and anhedonia-apprehension were estimated through a trilevel factorial model. In addition, functional magnetic resonance imaging scans were obtained while participants performed Pavlovian fear conditioning tasks at baseline and 30 months, including three phases of fear acquisition, extinction, and extinction recall. Neural responses in regions of interest related to threat neural circuitry (e.g., amygdala, ventromedial prefrontal cortex, and subgenual anterior cingulate cortex) were extracted. RESULTS: Linear mixed models used to estimate relationships between changes of symptom dimensions and neural responses revealed two major findings: 1) greater neural responses to threatening stimuli during fear acquisition at baseline were associated with a greater increase in fear symptoms during the 30-month prospective period; and 2) elevated neural responses to the extinguished stimulus during extinction recall at 30 months were negatively associated with changes in general distress, suggesting that greater increases in general distress are associated with larger deficits in extinction memory. CONCLUSIONS: These findings improve our understanding of pathophysiological pathways underlying the development of anxiety and depression, while separating symptom dimensions that are shared versus unique between the two disorders.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Año: 2023 Tipo del documento: Article