| Literature DB >> 31615888 |
Ann-Marie G de Lange1,2,3, Tobias Kaufmann2, Dennis van der Meer2,4, Luigi A Maglanoc5,2, Dag Alnæs2, Torgeir Moberget5,2, Gwenaëlle Douaud6, Ole A Andreassen2, Lars T Westlye5,2.
Abstract
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.Entities:
Keywords: brain imaging; genetics; machine learning; pregnancy and childbirth
Mesh：
Year: 2019 PMID： 31615888 PMCID： PMC6825266 DOI： 10.1073/pnas.1910666116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205