A detailed spatiotemporal atlas of the white matter tracts for the fetal brain

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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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-12-30
DOI
https://doi.org/10.1073/pnas.2410341121
Citations
12
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.85

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article

A detailed spatiotemporal atlas of the white matter tracts for the fetal brain

Simon Keith Warfield, Ali Gholipour, Camilo Calixto, Matheus Dorigatti Soldatelli et al.
12 citations
Proceedings of the National Academy of Sciences
Advanced Neuroimaging Techniques and Applications
4.85
article

A detailed spatiotemporal atlas of the white matter tracts for the fetal brain

Simon Keith Warfield, Ali Gholipour, Camilo Calixto, Matheus Dorigatti Soldatelli, Davood Karimi, Lana Pierotich, Camilo Jaimes
article en
12 citations

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.

Proceedings of the National Academy of SciencesVol. 122(1)
Boston Children's Hospital (US), Harvard University (US), University of California, Irvine (US), Massachusetts General Hospital (US), Boston Children's Museum (US)
American Roentgen Ray Society, NIH Office of the Director, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 4%
Advanced Neuroimaging Techniques and Applications
4.85
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