IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-52242-4.html
   My bibliography  Save this article

Prenatal environment is associated with the pace of cortical network development over the first three years of life

Author

Listed:
  • Ursula A. Tooley

    (Washington University in St. Louis)

  • Aidan Latham

    (Washington University in St. Louis)

  • Jeanette K. Kenley

    (Washington University in St. Louis)

  • Dimitrios Alexopoulos

    (Washington University in St. Louis)

  • Tara A. Smyser

    (Washington University in St. Louis)

  • Ashley N. Nielsen

    (Washington University in St. Louis)

  • Lisa Gorham

    (Washington University in St. Louis)

  • Barbara B. Warner

    (Washington University in St. Louis)

  • Joshua S. Shimony

    (Washington University in St. Louis)

  • Jeffrey J. Neil

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Joan L. Luby

    (Washington University in St. Louis)

  • Deanna M. Barch

    (Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis)

  • Cynthia E. Rogers

    (Washington University in St. Louis
    Washington University in St. Louis)

  • Christopher D. Smyser

    (Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis)

Abstract

Environmental influences on brain structure and function during early development have been well-characterized, but whether early environments are associated with the pace of brain development is not clear. In pre-registered analyses, we use flexible non-linear models to test the theory that prenatal disadvantage is associated with differences in trajectories of intrinsic brain network development from birth to three years (n = 261). Prenatal disadvantage was assessed using a latent factor of socioeconomic disadvantage that included measures of mother’s income-to-needs ratio, educational attainment, area deprivation index, insurance status, and nutrition. We find that prenatal disadvantage is associated with developmental increases in cortical network segregation, with neonates and toddlers with greater exposure to prenatal disadvantage showing a steeper increase in cortical network segregation with age, consistent with accelerated network development. Associations between prenatal disadvantage and cortical network segregation occur at the local scale and conform to a sensorimotor-association hierarchy of cortical organization. Disadvantage-associated differences in cortical network segregation are associated with language abilities at two years, such that lower segregation is associated with improved language abilities. These results shed light on associations between the early environment and trajectories of cortical development.

Suggested Citation

  • Ursula A. Tooley & Aidan Latham & Jeanette K. Kenley & Dimitrios Alexopoulos & Tara A. Smyser & Ashley N. Nielsen & Lisa Gorham & Barbara B. Warner & Joshua S. Shimony & Jeffrey J. Neil & Joan L. Luby, 2024. "Prenatal environment is associated with the pace of cortical network development over the first three years of life," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52242-4
    DOI: 10.1038/s41467-024-52242-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-52242-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-52242-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Badi H. Baltagi & Yin‐Fang Yen, 2016. "Welfare Reform and Children's Health," Health Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 277-291, March.
    2. Marianne Bitler & Hilary Hoynes & Elira Kuka, 2017. "Child Poverty, the Great Recession, and the Social Safety Net in the United States," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(2), pages 358-389, March.
    3. Dion, Michelle L. & Sumner, Jane Lawrence & Mitchell, Sara McLaughlin, 2018. "Gendered Citation Patterns across Political Science and Social Science Methodology Fields," Political Analysis, Cambridge University Press, vol. 26(3), pages 312-327, July.
    4. Shaowen Bao & Vincent T. Chan & Michael M. Merzenich, 2001. "Cortical remodelling induced by activity of ventral tegmental dopamine neurons," Nature, Nature, vol. 412(6842), pages 79-83, July.
    5. Susan Averett & Yang Wang, 2018. "Effects of Higher EITC Payments on Children’s Health, Quality of Home Environment, and Noncognitive Skills," Public Finance Review, , vol. 46(4), pages 519-557, July.
    6. Roger Guimerà & Luís A. Nunes Amaral, 2005. "Functional cartography of complex metabolic networks," Nature, Nature, vol. 433(7028), pages 895-900, February.
    7. Maliniak, Daniel & Powers, Ryan & Walter, Barbara F., 2013. "The Gender Citation Gap in International Relations," International Organization, Cambridge University Press, vol. 67(4), pages 889-922, October.
    8. Xi Song & Catherine G. Massey & Karen A. Rolf & Joseph P. Ferrie & Jonathan L. Rothbaum & Yu Xie, 2020. "Long-term decline in intergenerational mobility in the United States since the 1850s," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(1), pages 251-258, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yining Wang & Qiang Wu & Liangyu Li, 2024. "Examining the influence of women scientists on scientific impact and novelty: insights from top business journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3517-3542, June.
    2. Mike Thelwall, 2020. "Female citation impact superiority 1996–2018 in six out of seven English‐speaking nations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 979-990, August.
    3. Zhou, Sifan & Chai, Sen & Freeman, Richard B., 2024. "Gender homophily: In-group citation preferences and the gender disadvantage," Research Policy, Elsevier, vol. 53(1).
    4. Torsten Skov, 2020. "Unconscious Gender Bias in Academia: Scarcity of Empirical Evidence," Societies, MDPI, vol. 10(2), pages 1-13, March.
    5. Allison C. Morgan & Nicholas LaBerge & Daniel B. Larremore & Mirta Galesic & Jennie E. Brand & Aaron Clauset, 2022. "Socioeconomic roots of academic faculty," Nature Human Behaviour, Nature, vol. 6(12), pages 1625-1633, December.
    6. Tahmooresnejad, Leila & Turkina, Ekaterina, 2022. "Female inventors over time: Factors affecting female Inventors’ innovation performance," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Marjolijn N. Wijnen & Jorg J. M. Massen & Mariska E. Kret, 2021. "Gender bias in the allocation of student grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5477-5488, July.
    8. H. O.’Leary & T. Gantzert & A. Mann & E. Z. Mann & N. Bollineni & M. Nelson, 2024. "Citation as representation: gendered academic citation politics persist in environmental studies publications," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 14(3), pages 525-537, September.
    9. David G. Weissman & Mark L. Hatzenbuehler & Mina Cikara & Deanna M. Barch & Katie A. McLaughlin, 2023. "State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Paul A. Djupe & Kim Quaile Hill & Amy Erica Smith & Anand E. Sokhey, 2020. "Putting personality in context: determinants of research productivity and impact in political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2279-2300, September.
    11. S. Parker Singleton & Andrea I. Luppi & Robin L. Carhart-Harris & Josephine Cruzat & Leor Roseman & David J. Nutt & Gustavo Deco & Morten L. Kringelbach & Emmanuel A. Stamatakis & Amy Kuceyeski, 2022. "Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    12. Panagiotis Fotiadis & Matthew Cieslak & Xiaosong He & Lorenzo Caciagli & Mathieu Ouellet & Theodore D. Satterthwaite & Russell T. Shinohara & Dani S. Bassett, 2023. "Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    13. Michelle L. Dion & Sara McLaughlin Mitchell & Jane L. Sumner, 2020. "Gender, seniority, and self-citation practices in political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 1-28, October.
    14. Andrews, Mary E. & Mattan, Bradley D. & Richards, Keana & Moore-Berg, Samantha L. & Falk, Emily B., 2022. "Using first-person narratives about healthcare workers and people who are incarcerated to motivate helping behaviors during the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 299(C).
    15. Alessia Invernizzi & Ann-Cathrin Klöckner & Gerald Schneider, 2024. "Mission partly accomplished: European Union Politics at 25," European Union Politics, , vol. 25(1), pages 3-16, March.
    16. Samara Klar & Yanna Krupnikov & John Barry Ryan & Kathleen Searles & Yotam Shmargad, 2020. "Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-15, April.
    17. Hongmi Lee & Janice Chen, 2022. "Predicting memory from the network structure of naturalistic events," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    18. Nunkoo, Robin & Hall, C. Michael & Rughoobur-Seetah, Soujata & Teeroovengadum, Viraiyan, 2019. "Citation practices in tourism research: Toward a gender conscientious engagement," Annals of Tourism Research, Elsevier, vol. 79(C).
    19. Katherine C. Wood & Christopher F. Angeloni & Karmi Oxman & Claudia Clopath & Maria N. Geffen, 2022. "Neuronal activity in sensory cortex predicts the specificity of learning in mice," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    20. Philbin, Morgan M. & Everett, Bethany G. & Auerbach, Judith D., 2024. "Gender(ed) science: How the institutionalization of gender continues to shape the conduct and content of women's health research," Social Science & Medicine, Elsevier, vol. 351(S1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52242-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.