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High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain.
Han, Xinyue; Maharjan, Surendra; Chen, Jie; Zhao, Yi; Qi, Yi; White, Leonard E; Johnson, G Allan; Wang, Nian.
Afiliación
  • Han X; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Maharjan S; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
  • Chen J; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
  • Zhao Y; Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN, USA.
  • Qi Y; Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA.
  • White LE; Department of Neurology, Duke University Medical Center, Durham, NC, USA.
  • Johnson GA; Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Wang N; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, USA. Electronic address: nianwang
Neuroimage ; 297: 120734, 2024 Aug 15.
Article en En | MEDLINE | ID: mdl-39032791
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión por Resonancia Magnética / Transcriptoma Límite: Animals Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión por Resonancia Magnética / Transcriptoma Límite: Animals Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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