Trajectories of depressive symptoms through adolescence as predictors of cortical thickness in the orbitofrontal cortex: An examination of sex differences

Psychiatry Res Neuroimaging. 2020 Sep 30:303:111132. doi: 10.1016/j.pscychresns.2020.111132. Epub 2020 Jun 20.

Abstract

Previous research has found associations between orbitofrontal cortex (OFC) structure and symptoms of major depression, though specific aspects of this complex relationship remain unclear. The current study examined sex differences in the influence of individual trajectories of depressive symptoms on cortical thickness (CT) in the OFC during late adolescence. Fifty-four participants enrolled in an ongoing longitudinal study completed assessments of depression symptoms at baseline (Mage = 12.09; SD = 1.06) and at 6-month intervals through adolescence, followed by an MRI assessment (Mage = 17.34; SD = 0.98). Estimates of CT in the OFC were obtained using FreeSurfer. Multilevel modeling (MLM) analyses estimated individuals' symptom trajectories, and identified significant variability in trajectories of depressive symptoms. Trajectory estimates were extracted and included as predictors of CT in multiple regression analyses. Results did not reveal any significant main effect associations between trajectories of depression and CT in the OFC. However, sex moderated the associations between slope of depression and CT in the left OFC; the slope of depressive symptoms demonstrated significant, but opposite, associations with CT in the OFC across sexes, such that greater increases in symptoms across time were associated with reduced CT in males, but increased CT in females.

Keywords: Depression; Development; Sex differences; Structural MRI (sMRI).

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adolescent Behavior / psychology*
  • Cross-Sectional Studies
  • Depressive Disorder, Major / diagnostic imaging*
  • Depressive Disorder, Major / psychology*
  • Female
  • Follow-Up Studies
  • Humans
  • Longitudinal Studies
  • Magnetic Resonance Imaging / trends
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prefrontal Cortex / diagnostic imaging*
  • Prospective Studies
  • Sex Characteristics*