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Three-Dimensional Imaging of the Mouse Neurovasculature with Magnetic Resonance Microscopy

Overview of attention for article published in PLOS ONE, July 2011
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Title
Three-Dimensional Imaging of the Mouse Neurovasculature with Magnetic Resonance Microscopy
Published in
PLOS ONE, July 2011
DOI 10.1371/journal.pone.0022643
Pubmed ID
Authors

Arvind P. Pathak, Eugene Kim, Jiangyang Zhang, Melina V. Jones

Abstract

Knowledge of the three-dimensional (3D) architecture of blood vessels in the brain is crucial because the progression of various neuropathologies ranging from Alzheimer's disease to brain tumors involves anomalous blood vessels. The challenges in obtaining such data from patients, in conjunction with development of mouse models of neuropathology, have made the murine brain indispensable for investigating disease induced neurovascular changes. Here we describe a novel method for "whole brain" 3D mapping of murine neurovasculature using magnetic resonance microscopy (μMRI). This approach preserves the vascular and white matter tract architecture, and can be combined with complementary MRI contrast mechanisms such as diffusion tensor imaging (DTI) to examine the interplay between the vasculature and white matter reorganization that often characterizes neuropathologies. Following validation with micro computed tomography (μCT) and optical microscopy, we demonstrate the utility of this method by: (i) combined 3D imaging of angiogenesis and white matter reorganization in both, invasive and non-invasive brain tumor models; (ii) characterizing the morphological heterogeneity of the vascular phenotype in the murine brain; and (iii) conducting "multi-scale" imaging of brain tumor angiogenesis, wherein we directly compared in vivo MRI blood volume measurements with ex vivo vasculature data.

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Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Canada 3 2%
Germany 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 121 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Researcher 33 24%
Student > Master 13 10%
Professor > Associate Professor 12 9%
Student > Doctoral Student 7 5%
Other 22 16%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 21%
Medicine and Dentistry 24 18%
Neuroscience 19 14%
Engineering 19 14%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 21 16%
Unknown 17 13%