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Research Article

Population-based neuroimaging reveals traces of childbirth in the maternal brain

Ann-Marie G. de Lange, Tobias Kaufmann, Dennis van der Meer, Luigi A. Maglanoc, Dag Alnæs, View ORCID ProfileTorgeir Moberget, Gwenaëlle Douaud, Ole A. Andreassen, and View ORCID ProfileLars T. Westlye
  1. aDepartment of Psychology, University of Oslo, 0373 Oslo, Norway;
  2. bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
  3. cDepartment of Psychiatry, University of Oxford, OX3 7JX Oxford, United Kingdom;
  4. dSchool of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 Maastricht, The Netherlands;
  5. eCentre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX3 9DU, Oxford, United Kingdom

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PNAS October 29, 2019 116 (44) 22341-22346; first published October 15, 2019; https://doi.org/10.1073/pnas.1910666116
Ann-Marie G. de Lange
aDepartment of Psychology, University of Oslo, 0373 Oslo, Norway;
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
cDepartment of Psychiatry, University of Oxford, OX3 7JX Oxford, United Kingdom;
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  • For correspondence: a.m.g.d.lange@psykologi.uio.no
Tobias Kaufmann
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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Dennis van der Meer
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
dSchool of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, 6229 Maastricht, The Netherlands;
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Luigi A. Maglanoc
aDepartment of Psychology, University of Oslo, 0373 Oslo, Norway;
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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Dag Alnæs
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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Torgeir Moberget
aDepartment of Psychology, University of Oslo, 0373 Oslo, Norway;
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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  • ORCID record for Torgeir Moberget
Gwenaëlle Douaud
eCentre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, University of Oxford, OX3 9DU, Oxford, United Kingdom
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Ole A. Andreassen
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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Lars T. Westlye
aDepartment of Psychology, University of Oslo, 0373 Oslo, Norway;
bNorwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Division of Mental Health and Addiction, Oslo University Hospital, 0424 Oslo, Norway;
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  • ORCID record for Lars T. Westlye
  1. Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved September 20, 2019 (received for review June 21, 2019)

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Significance

Pregnancy is one of the most dynamic periods in a woman’s life, involving a remarkable potential for brain plasticity that promotes cognitive and emotional adjustments to the newborn. We provide evidence for a relationship between number of childbirths and brain aging in 12,021 middle-aged women, suggesting that potential parity-related brain changes may endure beyond the postpartum period and influence the course of neurobiological aging.

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.

  • pregnancy and childbirth
  • brain imaging
  • genetics
  • machine learning

Footnotes

  • ↵1To whom correspondence may be addressed. Email: a.m.g.d.lange{at}psykologi.uio.no.
  • Author contributions: A.-M.G.d.L., T.K., D.v.d.M., T.M., G.D., O.A.A., and L.T.W. designed research; A.-M.G.d.L., T.K., D.v.d.M., L.M., D.A., and L.T.W. performed research; A.-M.G.d.L., D.v.d.M., and L.M. analyzed data; and A.-M.G.d.L. and L.T.W. wrote the paper.

  • The authors declare no competing interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1910666116/-/DCSupplemental.

Published under the PNAS license.

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Population-based neuroimaging reveals traces of childbirth in the maternal brain
Ann-Marie G. de Lange, Tobias Kaufmann, Dennis van der Meer, Luigi A. Maglanoc, Dag Alnæs, Torgeir Moberget, Gwenaëlle Douaud, Ole A. Andreassen, Lars T. Westlye
Proceedings of the National Academy of Sciences Oct 2019, 116 (44) 22341-22346; DOI: 10.1073/pnas.1910666116

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Population-based neuroimaging reveals traces of childbirth in the maternal brain
Ann-Marie G. de Lange, Tobias Kaufmann, Dennis van der Meer, Luigi A. Maglanoc, Dag Alnæs, Torgeir Moberget, Gwenaëlle Douaud, Ole A. Andreassen, Lars T. Westlye
Proceedings of the National Academy of Sciences Oct 2019, 116 (44) 22341-22346; DOI: 10.1073/pnas.1910666116
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Proceedings of the National Academy of Sciences: 116 (44)
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