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Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Ana I L Namburete1,2,3, Bartłomiej W Papież4, Michelle Fernandes5,6,7
1Oxford Machine Learning in Neuroimaging Laboratory, Department of Computer Science, University of Oxford, Oxford, UK. ana.namburete@cs.ox.ac.uk.
Nature
|October 25, 2023
Summary
This study created a digital atlas of fetal brain maturation using 3D ultrasound data from healthy pregnancies. The atlas reveals detailed structural growth and early signs of brain asymmetry crucial for development.
Area of Science:
- Neuroscience
- Developmental Biology
- Medical Imaging
Background:
- Optimal human fetal brain maturation requires precise structural growth and cerebral cortex folding.
- Existing atlases lack the detailed anatomical resolution of deep grey matter structures.
Purpose of the Study:
- To develop a normative digital atlas of fetal brain maturation.
- To provide a spatiotemporal benchmark of fetal brain development from 14 to 31 weeks' gestation.
- To quantify intracranial volume variability and growth patterns.
Main Methods:
- Utilized 1,059 3D ultrasound brain volumes from 899 fetuses in a prospective international cohort.
- Employed an automated analysis pipeline for atlas generation.
- Validated findings using 1,487 3D brain volumes from 1,295 additional fetuses.
Main Results:
- Generated an average representation of each cerebral hemisphere with detailed deep grey matter anatomy.
- Quantified intracranial volume variability and growth patterns.
- Detected emergent brain asymmetries from 14 weeks' gestation, peaking between 20-26 weeks in language-associated regions.
Conclusions:
- The developed atlas serves as a unique spatiotemporal benchmark for fetal brain maturation.
- The atlas demonstrates normative patterns of brain growth and the emergence of asymmetries.
- Findings support the use of pooled data from multiple sites for robust normative atlases.

