Early Childhood Depression and Alterations in the Trajectory of Gray Matter Maturation in Middle Childhood and Early Adolescence
- PMID: 26676835
- PMCID: PMC5206762
- DOI: 10.1001/jamapsychiatry.2015.2356
Early Childhood Depression and Alterations in the Trajectory of Gray Matter Maturation in Middle Childhood and Early Adolescence
Abstract
Importance: The trajectory of cortical gray matter development in childhood has been characterized by early neurogenesis and volume increase, peaking at puberty followed by selective elimination and myelination, resulting in volume loss and thinning. This inverted U-shaped trajectory, as well as cortical thickness, has been associated with cognitive and emotional function. Synaptic pruning-based volume decline has been related to experience-dependent plasticity in animals. To date, there have been no data to inform whether and how childhood depression might be associated with this trajectory.
Objective: To examine the effects of early childhood depression, from the preschool age to the school age period, on cortical gray matter development measured across 3 waves of neuroimaging from late school age to early adolescence.
Design, setting, and participants: Data were collected in an academic research setting from September 22, 2003, to December 13, 2014, on 193 children aged 3 to 6 years from the St Louis, Missouri, metropolitan area who were observed for up to 11 years in a longitudinal behavioral and neuroimaging study of childhood depression. Multilevel modeling was applied to explore the association between the number of childhood depression symptoms and prior diagnosis of major depressive disorder and the trajectory of gray matter change across 3 scan waves. Data analysis was conducted from October 29, 2014, to September 28, 2015.
Main outcomes and measures: Volume, thickness, and surface area of cortical gray matter measured using structural magnetic resonance imaging at 3 scan waves.
Results: Of the 193 children, 90 had a diagnosis of major depressive disorder; 116 children had 3 full waves of neuroimaging scans. Findings demonstrated marked alterations in cortical gray matter volume loss (slope estimate, -0.93 cm³; 95% CI, -1.75 to -0.10 cm³ per scan wave) and thinning (slope estimate, -0.0044 mm; 95% CI, -0.0077 to -0.0012 mm per scan wave) associated with experiencing an episode of major depressive disorder before the first magnetic resonance imaging scan. In contrast, no significant associations were found between development of gray matter and family history of depression or experiences of traumatic or stressful life events during this period.
Conclusions and relevance: This study demonstrates an association between early childhood depression and the trajectory of cortical gray matter development in late school age and early adolescence. These findings underscore the significance of early childhood depression on alterations in neural development.
Conflict of interest statement
Dr. Luby declares no conflict of interest. Dr. Belden declares no conflict of interest. Dr. Harms declares no conflict of interest. Dr. Botteron declares no conflict of interest. Dr. Jackson declares no conflict of interest. Dr. Lessov-Schlaggar declares no conflict of interest. Ms. Tillman declares no conflict of interest. Dr. Whalen declares no conflict of interest.
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Comment in
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The Importance of Assessing Neural Trajectories in Pediatric Depression.JAMA Psychiatry. 2016 Jan;73(1):9-10. doi: 10.1001/jamapsychiatry.2015.2453. JAMA Psychiatry. 2016. PMID: 26676653 Free PMC article. No abstract available.
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References
-
- Giedd JN, Raznahan A, Alexander-Bloch A, Schmitt E, Gogtay N, Rapoport JL. Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2015 Jan;40(1):43–49. - PMC - PubMed
-
- Sowell ER, Levitt J, Thompson PM, et al. Brain abnormalities in early-onset schizophrenia spectrum disorder observed with statistical parametric mapping of structural magnetic resonance images. The American journal of psychiatry. 2000 Sep;157(9):1475–1484. - PubMed
-
- Paus T. Mapping brain maturation and cognitive development during adolescence. Trends in cognitive sciences. 2005 Feb;9(2):60–68. - PubMed
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