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Maternal brain adaptations have been found across pregnancy and postpartum, but little is known about the long-term effects of parity on the maternal brain. Using neuroimaging and machine learning, we investigated structural brain characteristics in 12,021 middle-aged women from the UK Biobank, demonstrating that parous women showed less evidence of brain aging compared to their nulliparous peers. The relationship between childbirths and a "younger-looking" brain could not be explained by common genetic variation or relevant confounders. Although prospective longitudinal studies are needed, the results suggest that parity may involve neural changes that could influence women's brain aging later in life.

Original publication

DOI

10.1073/pnas.1910666116

Type

Journal article

Journal

Proc Natl Acad Sci U S A

Publication Date

29/10/2019

Volume

116

Pages

22341 - 22346

Keywords

brain imaging, genetics, machine learning, pregnancy and childbirth, Adaptation, Physiological, Aged, Brain, Female, Humans, Machine Learning, Middle Aged, Parturition