Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age

We previously constructed a qualitative, 3D ultrasound derived atlas of the normative spatiotemporal dynamics of fetal brain maturation. Here, using the same healthy multi-national cohort, we applied deep learning methods to 4205 fetal brain scans from 18-27 weeks' gestation, to produce an extensive, quantitative description of the growth of 16 fetal brain structures associated with satisfactory domain-specific neurodevelopmental scores at 2 years of age. The methodology, which is publicly available, takes less than 10 seconds per scan. We define 28 region-specific, functionally relevant, normative growth trajectories, a ratio between the relative volumes of the insular (rILV) and parietal (rPLV) lobes reflecting asynchronous maturation of fetal brain regions, and introduce a fetal brain maturation index that quantifies biological age and deviations from chronological age. Finally, the very low percentage of variance explained by between site differences (0.6% to 5.8% of the total variance) reinforces a fundamental biological principle: fetal growth and development across populations with diverse ancestries is similar provided that environmental constraints on growth are minimal.

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Publication Details

Journal
Nature Communications
Published
2026-02-23
DOI
https://doi.org/10.1038/s41467-026-69657-w
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
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article

Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age

Linde S. Hesse, Robert B. Gunier, Enrico Bertino, Nicola K. Dinsdale et al.
Nature Communications
Fetal and Pediatric Neurological Disorders
article

Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age

Linde S. Hesse, Robert B. Gunier, Enrico Bertino, Nicola K. Dinsdale, Mark Jenkinson, Leila Cheikh Ismail, Ana I. L. Namburete, Madeleine K. Wyburd, Adele Winsey, Jose Ramón Toledano Villar, Wu Q, Yasmin A. Jaffer, Manorama Purwar, A. T. Papageorghiou, Alan Stein, Stephen Smith, Michael G. Gravett, Michelle Fernandes, Eric O. Ohuma, Alison J. Noble, Zoltán Molnár, Fernando C. Barros, Zulfiqar A. Bhutta, Thomas E. Nichols
article en

Abstract

We previously constructed a qualitative, 3D ultrasound derived atlas of the normative spatiotemporal dynamics of fetal brain maturation. Here, using the same healthy multi-national cohort, we applied deep learning methods to 4205 fetal brain scans from 18-27 weeks' gestation, to produce an extensive, quantitative description of the growth of 16 fetal brain structures associated with satisfactory domain-specific neurodevelopmental scores at 2 years of age. The methodology, which is publicly available, takes less than 10 seconds per scan. We define 28 region-specific, functionally relevant, normative growth trajectories, a ratio between the relative volumes of the insular (rILV) and parietal (rPLV) lobes reflecting asynchronous maturation of fetal brain regions, and introduce a fetal brain maturation index that quantifies biological age and deviations from chronological age. Finally, the very low percentage of variance explained by between site differences (0.6% to 5.8% of the total variance) reinforces a fundamental biological principle: fetal growth and development across populations with diverse ancestries is similar provided that environmental constraints on growth are minimal.

Nature Communications
Universidade Católica de Pelotas (BR), Aga Khan University (PK), University of the Witwatersrand (ZA), University of Washington (US), Peking University (CN), Aga Khan University Hospital Nairobi (KE), Hospital for Sick Children (CA), Aga Khan Development Network (PK), Australian Institute of Business (AU), University of Sharjah (AE), University of Oxford (GB), Oxford Nanoimaging (United Kingdom) (GB), London School of Hygiene & Tropical Medicine (GB), Wellcome Centre for Integrative Neuroimaging (GB), Agincourt Health and Socio-Demographic Surveillance System (ZA), Africa Health Research Institute (ZA), Ministry of Health (OM), Regenerative Medicine Institute (MX), Ministry of Agriculture and Fisheries (OM), South Australian Health and Medical Research Institute (AU), Science Oxford (GB), University of Turin (IT), The University of Adelaide (AU), University of California, Berkeley (US)
Openalex Percentile: Top 45%
Fetal and Pediatric Neurological Disorders
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