Shared and unique lifetime stressor characteristics and network connectivity predict adolescent anxiety and depression.

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Title: Shared and unique lifetime stressor characteristics and network connectivity predict adolescent anxiety and depression.
Authors: Qu YL; Department of Psychology, Yale University, New Haven, CT, USA.; Wu Tsai Institute, Yale University, New Haven, CT, USA., Chopra S; Orygen, Melbourne, VIC, Australia.; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia., Qu S; Department of Psychology, Yale University, New Haven, CT, USA.; Wu Tsai Institute, Yale University, New Haven, CT, USA., Cocuzza CV; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA., Labache L; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA., Bauer CCC; Department of Psychology, Northeastern University, Boston, MA, USA.; Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA.; Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA., Morfini F; Department of Psychology, Northeastern University, Boston, MA, USA.; Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA., Whitfield-Gabrieli S; Department of Psychology, Northeastern University, Boston, MA, USA.; Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA.; Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA., Slavich GM; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA., Joormann J; Department of Psychology, Yale University, New Haven, CT, USA.; Wu Tsai Institute, Yale University, New Haven, CT, USA., Holmes AJ; Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Aug 31. Date of Electronic Publication: 2025 Aug 31.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.10.25.620373