Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study

Bailey Holt-Gosselin, Taylor J. Keding, Kathryn Rodrigues, Amanda Rueter, Timothy J. Hendrickson, Anders Perrone, Nora Byington, Audrey Houghton, Oscar Miranda-Dominguez, Eric Feczko, Damien A. Fair, Jutta Joormann, Dylan G. Gee

Research output: Contribution to journalArticlepeer-review

Abstract

Background: There is an imminent need to identify neural markers during preadolescence that are linked to developing depression during adolescence, especially among youth at elevated familial risk. However, longitudinal studies remain scarce and exhibit mixed findings. Here we aimed to elucidate functional connectivity (FC) patterns among preadolescents that interact with familial depression risk to predict depression two years later. Methods: 9–10 year-olds in the Adolescent Brain Cognitive Development (ABCD) Study were classified as healthy (i.e., no lifetime psychiatric diagnoses) at high familial risk for depression (HR; n=559) or at low familial risk for psychopathology (LR; n=1203). Whole-brain seed-to-voxel resting-state FC patterns with the amygdala, putamen, nucleus accumbens, and caudate were calculated. Multi-level, mixed-effects regression analyses were conducted to test whether FC at ages 9–10 interacted with familial risk to predict depression symptoms at ages 11–12. Results: HR youth demonstrated stronger associations between preadolescent FC and adolescent depression symptoms (ps<0.001) as compared to LR youth (ps>0.001), primarily among amygdala/striatal FC with visual and sensory/somatomotor networks. Conclusions: Preadolescent amygdala and striatal FC may be useful biomarkers of adolescent-onset depression, particularly for youth with family histories of depression. This research may point to neurobiologically-informed approaches to prevention and intervention for depression in adolescents.

Original languageEnglish (US)
Article number101400
JournalDevelopmental Cognitive Neuroscience
Volume68
DOIs
StatePublished - Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Keywords

  • ABCD study
  • Depression
  • Familial risk for depression
  • Longitudinal study
  • Resting-state fMRI
  • Youth

PubMed: MeSH publication types

  • Journal Article

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