ArticleProceedings of the National Academy of Sciences of the United States of America2022
A diffusion MRI-based spatiotemporal continuum of the embryonic mouse brain for probing gene-neuroanatomy connections.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Protocol for diffusion magnetic resonance imaging and tractography in ex vivo mouse models.STAR protocols · 2026Article
- DeMBA: a developmental atlas for navigating the mouse brain in space and time.Nature communications · 2025Article
- Developmental mouse brain common coordinate framework.Nature communications · 2024Article
- High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain.NeuroImage · 2024Article
- Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023Article
- Towards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI.NeuroImage · 2023Article
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Authors and funding
11 authors at 7 institutions in 2 countries.
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Abstract
The embryonic mouse brain undergoes drastic changes in establishing basic anatomical compartments and laying out major axonal connections of the developing brain. Correlating anatomical changes with gene-expression patterns is an essential step toward understanding the mechanisms regulating brain development. Traditionally, this is done in a cross-sectional manner, but the dynamic nature of development calls for probing gene-neuroanatomy interactions in a combined spatiotemporal domain. Here, we present a four-dimensional (4D) spatiotemporal continuum of the embryonic mouse brain from E10.5 to E15.5 reconstructed from diffusion magnetic resonance microscopy (dMRM) data. This study achieved unprecedented high-definition dMRM at 30- to 35-µm isotropic resolution, and together with computational neuroanatomy techniques, we revealed both morphological and microscopic changes in the developing brain. We transformed selected gene-expression data to this continuum and correlated them with the dMRM-based neuroanatomical changes in embryonic brains. Within the continuum, we identified distinct developmental modes comprising regional clusters that shared developmental trajectories and similar gene-expression profiles. Our results demonstrate how this 4D continuum can be used to examine spatiotemporal gene-neuroanatomical interactions by connecting upstream genetic events with anatomical changes that emerge later in development. This approach would be useful for large-scale analysis of the cooperative roles of key genes in shaping the developing brain.
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