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Depression Severity Over 27 Months in Adolescent Girls Is Predicted by Stress-Linked Cortical Morphology

Published on May 1, 2019in Biological Psychiatry11.50
· DOI :10.1016/j.biopsych.2019.04.027
Elizabeth Bartlett2
Estimated H-index: 2
,
Daniel N. Klein72
Estimated H-index: 72
+ 3 AuthorsGreg Perlman12
Estimated H-index: 12
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Abstract
Abstract Background Evidence supports the notion that early-life stress and trauma impact cortical development and increase vulnerability to depression. However, it remains unclear whether common stressful life events in community-dwelling adolescents have similar consequences for cortical development. Methods A total of 232 adolescent girls (mean age 15.29 ± 0.65 years) were assessed with the Stressful Life Events Schedule (a semistructured interview of stressors in the previous 9 months) and underwent a magnetic resonance imaging scan. FreeSurfer 5.3.0 was used to perform whole-brain surface-based morphometry. Dysphoria was assessed at the time of imaging and prospectively at three 9-month follow-up appointments using the Inventory of Depression and Anxiety Symptoms II. Results At least one stressful life event was reported in 90% of the adolescent participants during the 9 months preceding imaging. Greater burden of recent life stress was associated with less left precuneus and left postcentral cortical thickness and smaller left superior frontal and right inferior parietal volume (all p p  = .004). Left precuneus cortical thickness accounted for 17.0% of the association between stress and dysphoric mood for 27 months after imaging (β = .04, p  = .05). Conclusions Consistent with evidence from imaging studies of trauma-exposed youths and preclinical stress models, a heavy burden of recent common life stress in community-dwelling adolescent girls was associated with altered frontal/parietal cortical morphology. Stress-linked precuneus cortical thickness represents a candidate prospective biomarker of adolescent depression.
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#1Anna Tyborowska (Radboud University Nijmegen)H-Index: 5
#2Inge Volman (UCL Institute of Neurology)H-Index: 1
Last.Karin Roelofs (Radboud University Nijmegen)H-Index: 32
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