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BRIEF REPORT

Prenatal stress and limbic-prefrontal white matter microstructure in children aged 6–9 years: a preliminary diffusion tensor imaging study

, , , , , , & show all
Pages 346-352 | Received 27 Aug 2013, Accepted 27 Feb 2014, Published online: 12 May 2014
 

Abstract

Objectives. Maternal prenatal stress is associated with elevated risk of adverse behavioural outcomes in offspring. This association may involve developmental disruption to limbic-prefrontal white matter circuitry, of which the uncinate fasciculus is the major tract. One potential candidate for modulating brain development is maternal prenatal stress. We provide the first prospective study of prenatal stress and white matter microstructure in children. Methods. A total of 22 healthy children (mean age 7 years) of mothers recruited in pregnancy underwent diffusion tensor magnetic resonance imaging. We examined correlations between prenatal stressful life events and white matter microstructural organisation indices (fractional anisotropy (FA) and perpendicular diffusivity (Dperp)) of the uncinate fasciculus and a “control” tract. Results. Maternal prenatal stressful life events were correlated positively with right uncinate fasciculus FA, and negatively with right uncinate fasciculus Dperp in their child, with a similar trend with left uncinate fasciculus Dperp. Prenatal stress was not associated with control tract properties; sociodemographic/obstetric variables were not associated with FA/Dperp of either tract. Conclusions. Variation in maternal prenatal stress may be associated with differences in the development of white matter within brain networks underlying child social behaviour.

Acknowledgements

This work was funded by the March of Dimes foundation, Baily Thomas Charitable Fund, The Academy of Medical Sciences, the NIHR Biomedical Research Centre for Mental Health at King's College London, Institute of Psychiatry and South London & Maudsley NHS Foundation Trust, and a generous donation from a private individual. We would also like to thank all the children and their parents for taking part. We would like to acknowledge Fiona Rose-Clarke for her assistance with recruitment and data collection.

Statement of Interest

None to declare.

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