Literature DB >> 27198667

Concordant Patterns of Brain Structure in Mothers with Recurrent Depression and Their Never-Depressed Daughters.

Lara C Foland-Ross1, Negin Behzadian, Joelle LeMoult, Ian H Gotlib.   

Abstract

BACKGROUND: A growing body of research has demonstrated that having a mother with a history of major depressive disorder (MDD) is one of the strongest predictors of depression in adolescent offspring. Few studies, however, have assessed neural markers of this increased risk for depression, or examined whether risk-related anomalies in adolescents at maternal risk for depression are related to neural abnormalities in their depressed mothers. We addressed these questions by examining concordance in brain structure in two groups of participants: mothers with a history of depression and their never-depressed daughters, and never-depressed mothers and their never-depressed daughters.
METHOD: We scanned mothers with (remitted; RMD) and without (control; CTL) a history of recurrent episodes of depression and their never-depressed daughters, computed cortical gray matter thickness, and tested whether mothers' thickness predicted daughters' thickness.
RESULTS: Both RMD mothers and their high-risk daughters exhibited focal areas of thinner cortical gray matter compared with their CTL/low-risk counterparts. Importantly, the extent of thickness anomalies in RMD mothers predicted analogous abnormalities in their daughters; this pattern was not present in CTL/low-risk dyads.
CONCLUSIONS: We identified neuroanatomical risk factors that may underlie the intergenerational transmission of risk for MDD. Our findings suggest that there is concordance in brain structure in dyads that is affected by maternal depression, and that the location, direction, and extent of neural anomalies in high-risk offspring mirror those of their recurrent depressed mothers.
© 2016 S. Karger AG, Basel.

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Mesh:

Year:  2016        PMID: 27198667      PMCID: PMC4927380          DOI: 10.1159/000444448

Source DB:  PubMed          Journal:  Dev Neurosci        ISSN: 0378-5866            Impact factor:   2.984


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