Chapter title |
Hypoxia and Inflammation-Induced Disruptions of the Blood-Brain and Blood-Cerebrospinal Fluid Barriers Assessed Using a Novel T1-Based MRI Method.
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Chapter number | 5 |
Book title |
Brain Edema XVI
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Published in |
Acta neurochirurgica Supplement, January 2016
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DOI | 10.1007/978-3-319-18497-5_5 |
Pubmed ID | |
Book ISBNs |
978-3-31-918496-8, 978-3-31-918497-5
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Authors |
Nathoo, Nabeela, Jalal, Hamza, Natah, Sirajedin S, Zhang, Qiong, Wu, Ying, Dunn, Jeff F, Nabeela Nathoo, Hamza Jalal, Sirajedin S. Natah, Qiong Zhang, Ying Wu, Jeff F. Dunn |
Abstract |
Subtle blood-brain barrier (BBB) disruption is involved in numerous neurological conditions. This disruption is found diffusely in the brain and requires quantitative methods for assessment. We propose a statistical method to identify individual voxels where the BBB is disrupted using T1-weighted MRI. We used models of severe and focal vs. mild and generalized disruption of the BBB to show proof of principle with the cold injury model, hypoxia, and a model of inflammation using low- and high-dose lipopolysaccharide (LPS) treatment. Using voxel-based analysis, we found that mild hypoxia resulted in diffuse disruption of the BBB, whereas more severe hypoxia and high-dose LPS treatment resulted in prominent leakage, particularly in the periventricular area, suggestive of blood-cerebrospinal fluid (CSF) barrier disruption. Our data suggest that the periventricular area may be compromised first in conditions of inflammation and hypoxia. Voxel-based analysis could be used in future studies assessing subtle blood-CSF or BBB disruption. |
X Demographics
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Unknown | 2 | 100% |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 2 | 20% |
Other | 1 | 10% |
Student > Bachelor | 1 | 10% |
Researcher | 1 | 10% |
Professor > Associate Professor | 1 | 10% |
Other | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 3 | 30% |
Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Neuroscience | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 3 | 30% |