文章基本信息

标题：Population-based neuroimaging reveals traces of childbirth in the maternal brain
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作者：Ann-Marie G. de Lange ; Tobias Kaufmann ; Dennis van der Meer 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2019
卷号：116
期号：44
页码：22341-22346
DOI：10.1073/pnas.1910666116
出版社：The National Academy of Sciences of the United States of America
摘要：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..
关键词：pregnancy and childbirth ; brain imaging ; genetics ; machine learning