ArticleProceedings of the National Academy of Sciences of the United States of America2025
A detailed spatiotemporal atlas of the white matter tracts for the fetal brain.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Charting the Normal Development of Structural Brain Connectivity in Utero Using Diffusion MRI.Human brain mapping · 2026Article
- Atlas-based spatiotemporal MRI phenotyping of 3D fungal spread in grapevine wood.Plant phenomics (Washington, D.C.) · 2026Article
- Multimodal Graphical Network Analysis of Small-for-Gestational-Age in Preterm Infants: Integrating Neonatal Brain Volume, Structural Connectivity, and Early Neurodevelopmental Outcome.Annals of biomedical engineering · 2026Article
- Connectome-based spatial statistics enabling large-scale population analyses of human connectome across cohorts.bioRxiv : the preprint server for biology · 2026Article
- Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning.IEEE transactions on medical imaging · 2026Article
- The Fronto-Temporal Cortex Has Increased Subcortical Connectivity In Utero and Plasticity in Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- What needs to be standardized for reliable, reproducible, and robust tractography?GigaScience · 2026Review
- Towards time-resolved multiscale and multimodal imaging.Npj imaging · 2025Review
- Age-dependent recovery of white matter integrity after surgical correction in children with infantile esotropia.BMC neurology · 2025Article
- Fully automated deep learning model for the evaluation of cavum septum pellucidum development in normal fetuses using magnetic resonance imaging: a Chinese cohort study.Quantitative imaging in medicine and surgery · 2025Article
- Insights into Temporal and Spatial Dynamics of Short Association Fiber Formation in the Human Fetal Brain.bioRxiv : the preprint server for biology · 2025Article
- FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.NeuroImage · 2025Article
- White Matter Tract Crossing and Bottleneck Regions in the Fetal Brain.Human brain mapping · 2025Article
- HAITCH: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Streamline tractography of the fetal brain in utero with machine learning.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- White matter tract crossing and bottleneck regions in the fetal brain.bioRxiv : the preprint server for biology · 2024Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Abstract
This study presents the construction of a comprehensive spatiotemporal atlas of white matter tracts in the fetal brain for every gestational week between 23 and 36 wk using diffusion MRI (dMRI). Our research leverages data collected from fetal MRI scans, capturing the dynamic changes in the brain's architecture and microstructure during this critical period. The atlas includes 60 distinct white matter tracts, including commissural, projection, and association fibers. We employed advanced fetal dMRI processing techniques and tractography to map and characterize the developmental trajectories of these tracts. Our findings reveal that the development of these tracts is characterized by complex patterns of fractional anisotropy (FA) and mean diffusivity (MD), coinciding with the intensity of histogenic processes such as axonal growth, involution of the radial-glial scaffolding, and synaptic pruning. This atlas can serve as a useful resource for neuroscience research and clinical practice, improving our understanding of the fetal brain and potentially aiding in the early diagnosis of neurodevelopmental disorders. By detailing the normal progression of white matter tract development, the atlas can be used as a benchmark for identifying deviations that may indicate neurological anomalies or predispositions to disorders.
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