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

C Camilo Calixto (Computational Radiology Laboratory) M Matheus Dorigatti Soldatelli (Computational Radiology Laboratory) C Camilo Jaimes (Harvard Medical School) L Lana Pierotich (Computational Radiology Laboratory) S Simon K. Warfield (Computational Radiology Laboratory) A Ali Gholipour (Computational Radiology Laboratory) D Davood Karimi (Computational Radiology Laboratory)

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.

Article Details

Volume / Issue Vol. 122, Issue 1
Published January 07, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

C

Camilo Calixto

Computational Radiology Laboratory

M

Matheus Dorigatti Soldatelli

Computational Radiology Laboratory

C

Camilo Jaimes

Harvard Medical School

L

Lana Pierotich

Computational Radiology Laboratory

S

Simon K. Warfield

Computational Radiology Laboratory

A

Ali Gholipour

Computational Radiology Laboratory

D

Davood Karimi

Computational Radiology Laboratory