High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain
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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.
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From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [43]
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Self-citationQuantifying Macroscopic Water Diffusion in Knee Joint Tissues via in situ Neutron Imaging
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- Authors
- Han, X., Maharjan, S., Chen, J., Zhao, Y., Qi, Y., White, L. E., Johnson, G. A., & Wang, N.
- Affiliations
- Indiana University Indianapolis (US)
- Duke University (US)
- Duke Medical Center (US)
- Corresponding author
- Wang, Nian
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 297
- Pages
- 120734
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC11377129
- OpenAlex
- W4400849969
- Cited by
- 15
- References
- 98
- Citations by year
- 2026: 10 · 2025: 4 · 2024: 1
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- NINDS (R01 NS125020)
- National Institutes of Health (P41 EB015897, S10OD010683)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain development, mouse brain, diffusion MRI, spatial transcriptomics, white matter microstructure, gray matter microstructure, fiber orientation distribution, diffusion kurtosis imaging, NODDI, diffusion tensor imaging, postnatal development, genotype-phenotype correlation, gene expression
- MeSH terms
- Animals, Brain, Female, Male, Mice, Inbred C57BL, Diffusion Magnetic Resonance Imaging, Mice, Diffusion Tensor Imaging, Transcriptome, White Matter, Gray Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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