We propose to establish an integrated imaging platform for in-utero monitoring of the embryonic mouse brain development and injury. We will investigate a mouse model of intrauterine inflammatory injury in this project, which induces well-defined phenotypes of fetal neuronal injury. In-utero MRI will be useful to non-invasively detect the injury and monitor the injury progression, in addition to conventional histological examination. We will develop novel techniques to overcome the challenges for in-utero MRI, such as the fetal and maternal motion. A localized imaging technique will be used to focus the imaging field-of-view on selected mouse embryo instead of the entire abdomen, which leads to accelerated acquisition and reduced exposure to motion, as we previously demonstrated. Fast imaging sequences and motion correction techniques will be integrated to achieve 3D high-resolution MRI to resolve the miniature structures in the embryonic mouse brain. The technique will be extended for simultaneous imaging of multiple embryos to improve the throughput. Based on these innovations, multi-modality MRI including T1- and T2-weighted imaging, diffusion-weighted and diffusion tensor imaging will be achieved collectively to characterize the brain morphology and microstructural organization. We will first perform in-utero examination of the normal embryonic mouse brain development from embryonic day 14 to 18. The brain volumetric changes will be quantified from high-resolution T1/T2 images, and the microstructural changes, such as cortical and white matter development will be characterized with diffusion MRI. Using the multi-contrast in-utero MRI tools, and the baseline information from normal brain development, we will examine a mouse model of inflammatory fetal brain injury, induced by intrauterine injection of lipopolysaccharide. Acute edema will be captured from T2- and diffusion-weighted contrasts; while changes in brain morphology, damages in major white matter and cortical structures will be followed with anatomical images and diffusion MRI metrics. The spatiotemporal patterns of injury progression will be characterized by comparing the time courses of the MRI measurements in the injured and sham groups. We will also investigate two time windows of the injury onset at the middle and late gestation stages in order to understand the impacts of the timing of injury. The underlying pathology of the MRI findings will be examined with an array of immune-histological markers, and the MRI-histopathology correlations will be pursued. If the measurements are successful, we will establish multi- contrast MRI markers of the inflammatory fetal brain injury, and demonstrate their pathological implications. The proposed pioneer work will be one of the first studies to achieve in-utero monitoring of embryonic mouse brain development and injury. The findings would contribute important knowledge to human fetal MRI studies as it may reveal the link between MRI and histology markers. The proposed imaging platform will also be useful to evaluate intervention strategies and monitor treatment responses in small animal models, and the techniques are translatable to clinical scanners for safe examination of human fetal brains.

Public Health Relevance

We propose to build an in-utero MRI platform to monitor embryonic mouse brain morphology and microstructure. We will examine embryonic brain injury in a mouse model of intrauterine inflammatory injury, establish multi- contrast MRI markers of the injury, and identify the MRI- histopathology correlations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21NS098018-02
Application #
9271265
Study Section
Developmental Brain Disorders Study Section (DBD)
Program Officer
Koenig, James I
Project Start
2016-07-01
Project End
2019-06-30
Budget Start
2017-07-01
Budget End
2019-06-30
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Wu, Dan; Faria, Andreia V; Younes, Laurent et al. (2018) Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI-Application in Premanifest Huntington's Disease. J Vis Exp :
Wu, Dan; Lei, Jun; Jia, Bei et al. (2018) In vivo assessment of the placental anatomy and perfusion in a mouse model of intrauterine inflammation. J Magn Reson Imaging 47:1260-1267
Wu, Dan; Li, Qiang; Northington, Frances J et al. (2018) Oscillating gradient diffusion kurtosis imaging of normal and injured mouse brains. NMR Biomed 31:e3917
Wu, Dan; Chang, Linda; Akazawa, Kentaro et al. (2017) Change-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infants. Data Brief 12:453-458
Wu, Dan; Faria, Andreia V; Younes, Laurent et al. (2017) Mapping the order and pattern of brain structural MRI changes using change-point analysis in premanifest Huntington's disease. Hum Brain Mapp 38:5035-5050
Wu, Dan; Chang, Linda; Akazawa, Kentaro et al. (2017) Mapping the critical gestational age at birth that alters brain development in preterm-born infants using multi-modal MRI. Neuroimage 149:33-43
Wu, Dan; Zhang, Jiangyang (2017) The Effect of Microcirculatory Flow on Oscillating Gradient Diffusion MRI and Diffusion Encoding with Dual-Frequency Orthogonal Gradients (DEFOG). Magn Reson Med 77:1583-1592
Wu, Dan; Ceritoglu, Can; Miller, Michael I et al. (2016) Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting. Neuroimage Clin 12:570-581
Wu, Dan; Ma, Ting; Ceritoglu, Can et al. (2016) Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI. Neuroimage 125:120-130
Wu, Dan; Zhang, Jiangyang (2016) Recent Progress in Magnetic Resonance Imaging of the Embryonic and Neonatal Mouse Brain. Front Neuroanat 10:18

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