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Updated: Jun 20, 2025

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions
Published on: February 15, 2021
High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain
Xinyue Han1, Surendra Maharjan2, Jie Chen2
1Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
High-resolution diffusion MRI reveals microstructural brain development in mice. Gene expression correlates with these changes, offering insights into molecular mechanisms of brain formation.
Area of Science:
- Neuroscience
- Biophysics
- Developmental Biology
Background:
- Brain development involves complex molecular and cellular processes.
- Microstructural changes occur throughout brain development.
- High-resolution diffusion MRI (dMRI) allows non-destructive investigation of these changes.
Purpose of the Study:
- To investigate postnatal mouse brain microstructural alterations using high-resolution dMRI.
- To integrate quantitative MRI metrics with spatial transcriptomics.
- To correlate gene expression with dMRI-derived microstructural changes.
Main Methods:
- Acquisition of multi-shell dMRI datasets at 32 µm isotropic resolution.
- Adaptation of the Allen Developing Mouse Brain Atlas (ADMBA) for data integration.
- Application of Diffusion Tensor Imaging (DTI), Diffusion Kurtosis Imaging (DKI), and Neurite Orientation Dispersion and Density Imaging (NODDI) models.
Main Results:
- Demonstrated differential evolution of fiber orientation distributions in white matter (WM) and gray matter (GM).
- Observed spatial correlation between nervous system-enriched gene expression and age-matched dMRI metrics.
- Acquired the highest spatial resolution dMRI datasets for postnatal mouse brains to date.
Conclusions:
- High-resolution dMRI effectively traces microstructural changes in developing mouse brains (WM and GM).
- Integration with spatial transcriptomics reveals genotype-phenotype correlations.
- This approach enhances understanding of molecular-level brain microstructure development.
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