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High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain

Authors :
Xinyue Han
Surendra Maharjan
Jie Chen
Yi Zhao
Yi Qi
Leonard E. White
G. Allan Johnson
Nian Wang
Source :
NeuroImage, Vol 297, Iss , Pp 120734- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Brain development is a highly complex process regulated by numerous genes at the molecular and cellular levels. Brain tissue exhibits serial microstructural changes during the development process. High-resolution diffusion magnetic resonance imaging (dMRI) affords a unique opportunity to probe these changes in the developing brain non-destructively. In this study, we acquired multi-shell dMRI datasets at 32 µm isotropic resolution to investigate the tissue microstructure alterations, which we believe to be the highest spatial resolution dMRI datasets obtained for postnatal mouse brains. We adapted the Allen Developing Mouse Brain Atlas (ADMBA) to integrate quantitative MRI metrics and spatial transcriptomics. Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI) metrics were used to quantify brain development at different postnatal days. We demonstrated that the differential evolutions of fiber orientation distributions contribute to the distinct development patterns in white matter (WM) and gray matter (GM). Furthermore, the genes enriched in the nervous system that regulate brain structure and function were expressed in spatial correlation with age-matched dMRI. This study is the first one providing high-resolution dMRI, including DTI, DKI, and NODDI models, to trace mouse brain microstructural changes in WM and GM during postnatal development. This study also highlighted the genotype-phenotype correlation of spatial transcriptomics and dMRI, which may improve our understanding of brain microstructure changes at the molecular level.

Details

Language :
English
ISSN :
10959572
Volume :
297
Issue :
120734-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.be3132c1f8a3480daf59102877b7c752
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2024.120734