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Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years.

Namburete, AIL; Papież, BW; Fernandes, M; Wyburd, MK; Hesse, LS; Moser, FA; Ismail, LC; Gunier, RB; Squier, W; Ohuma, EO; et al. Namburete, AIL; Papież, BW; Fernandes, M; Wyburd, MK; Hesse, LS; Moser, FA; Ismail, LC; Gunier, RB; Squier, W; Ohuma, EO; Carvalho, M; Jaffer, Y; Gravett, M; Wu, Q; Lambert, A; Winsey, A; Restrepo-Méndez, MC; Bertino, E; Purwar, M; Barros, FC; Stein, A; Noble, JA; Molnár, Z; Jenkinson, M; Bhutta, ZA; Papageorghiou, AT; Villar, J; Kennedy, SH (2023) Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years. Nature, 623 (7985). pp. 106-114. ISSN 1476-4687 https://doi.org/10.1038/s41586-023-06630-3
SGUL Authors: Papageorghiou, Aris

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Abstract

Maturation of the human fetal brain should follow precisely scheduled structural growth and folding of the cerebral cortex for optimal postnatal function1. We present a normative digital atlas of fetal brain maturation based on a prospective international cohort of healthy pregnant women2, selected using World Health Organization recommendations for growth standards3. Their fetuses were accurately dated in the first trimester, with satisfactory growth and neurodevelopment from early pregnancy to 2 years of age4,5. The atlas was produced using 1,059 optimal quality, three-dimensional ultrasound brain volumes from 899 of the fetuses and an automated analysis pipeline6-8. The atlas corresponds structurally to published magnetic resonance images9, but with finer anatomical details in deep grey matter. The between-study site variability represented less than 8.0% of the total variance of all brain measures, supporting pooling data from the eight study sites to produce patterns of normative maturation. We have thereby generated an average representation of each cerebral hemisphere between 14 and 31 weeks' gestation with quantification of intracranial volume variability and growth patterns. Emergent asymmetries were detectable from as early as 14 weeks, with peak asymmetries in regions associated with language development and functional lateralization between 20 and 26 weeks' gestation. These patterns were validated in 1,487 three-dimensional brain volumes from 1,295 different fetuses in the same cohort. We provide a unique spatiotemporal benchmark of fetal brain maturation from a large cohort with normative postnatal growth and neurodevelopment.

Item Type: Article
Additional Information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2023
Keywords: Pregnancy, Humans, Female, Prospective Studies, Fetal Development, Brain, Fetus, Gestational Age, Brain, Fetus, Humans, Prospective Studies, Fetal Development, Gestational Age, Pregnancy, Female, General Science & Technology
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Nature
ISSN: 1476-4687
Language: eng
Dates:
DateEvent
2 November 2023Published
25 October 2023Published Online
8 September 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
SBF005/1136Academy of Medical Scienceshttp://dx.doi.org/10.13039/501100000691
MR/S004092/1Health Data Research UKhttp://dx.doi.org/10.13039/501100023699
EP/L016052/1Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
PubMed ID: 37880365
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115847
Publisher's version: https://doi.org/10.1038/s41586-023-06630-3

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