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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.

Neuroimage
|July 20, 2024
PubMed
Summary
This summary is machine-generated.

High-resolution diffusion MRI reveals microstructural brain development in mice. Gene expression correlates with these changes, offering insights into molecular mechanisms of brain formation.

Keywords:
Brain developmentDKIDTIDiffusion magnetic resonance imagingNODDISpatial transcriptomics

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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.