Adolescents at risk for depression show increased white matter microstructure with age across diffuse areas of the brain
Genre
Journal articleDate
2023-10-07Author
Sullivan-Toole, HollyJobson, Katie
Hoffman, Linda
Stewart, Lindsey C.
Olson, Ingrid
Olino, Thomas
Department
Psychology and NeurosciencePermanent link to this record
http://hdl.handle.net/20.500.12613/10572
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https://doi.org/10.1016/j.dcn.2023.101307Abstract
Maternal history of depression is a strong predictor of depression in offspring and linked to structural and functional alterations in the developing brain. However, very little work has examined differences in white matter in adolescents at familial risk for depression. In a sample aged 9–14 (n = 117), we used tract-based spatial statistics (TBSS) to examine differences in white matter microstructure between adolescents with (n = 42) and without (n = 75) maternal history of depression. Microstructure was indexed using fractional anisotropy (FA). Threshold-free cluster enhancement was applied and cluster maps were thresholded at whole-brain family-wise error < .05. There was no significant main effect of risk status on FA. However, there was a significant interaction between risk status and age, such that large and diffuse portions of the white matter skeleton showed relatively increased FA with age for youth with a maternal history of depression compared to those without. Most tracts identified by the interaction were robust to controlling for sex, youth internalizing, in-scanner motion, neighborhood SES, and intra-cranial volume, evidence that maternal depression is a unique predictor of white matter alterations in youth. Widespread increases in FA with age may correspond to a global pattern of accelerated brain maturation in youth at risk for depression.Citation
Holly Sullivan-Toole, Katie R. Jobson, Linda J. Hoffman, Lindsey C. Stewart, Ingrid R. Olson, Thomas M. Olino, Adolescents at risk for depression show increased white matter microstructure with age across diffuse areas of the brain, Developmental Cognitive Neuroscience, Volume 64, 2023, 101307, ISSN 1878-9293, https://doi.org/10.1016/j.dcn.2023.101307.Citation to related work
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Developmental Cognitive Neuroscience, Vol. 64ADA compliance
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