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An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.

Publication ,  Journal Article
Calabrese, E; Johnson, GA; Watson, C
Published in: Neuroimage
February 15, 2013

The postnatal period of neurodevelopment has been implicated in a number of brain disorders including autism and schizophrenia. Rodent models have proven to be invaluable in advancing our understanding of the human brain, and will almost certainly play a pivotal role in future studies on postnatal neurodevelopment. The growing field of magnetic resonance microscopy has the potential to revolutionize our understanding of neurodevelopment, if it can be successfully and appropriately assimilated into the vast body of existing neuroscience research. In this study, we demonstrate the utility of a developmental neuro-ontology designed specifically for tracking regional changes in MR biomarkers throughout postnatal neurodevelopment. Using this ontological classification as a segmentation guide, we track regional changes in brain volume in rats between postnatal day zero and postnatal day 80 and demonstrate differential growth rates in axial versus paraxial brain regions. Both the ontology and the associated label volumes are provided as a foundation for future MR-based studies of postnatal neurodevelopment in normal and disease states.

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Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

February 15, 2013

Volume

67

Start / End Page

375 / 384

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Rats, Wistar
  • Rats
  • Neurology & Neurosurgery
  • Models, Neurological
  • Models, Anatomic
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
 

Citation

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Calabrese, E., Johnson, G. A., & Watson, C. (2013). An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI. Neuroimage, 67, 375–384. https://doi.org/10.1016/j.neuroimage.2012.11.037
Calabrese, Evan, G Allan Johnson, and Charles Watson. “An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.Neuroimage 67 (February 15, 2013): 375–84. https://doi.org/10.1016/j.neuroimage.2012.11.037.
Calabrese, Evan, et al. “An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI.Neuroimage, vol. 67, Feb. 2013, pp. 375–84. Pubmed, doi:10.1016/j.neuroimage.2012.11.037.
Calabrese E, Johnson GA, Watson C. An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI. Neuroimage. 2013 Feb 15;67:375–384.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

February 15, 2013

Volume

67

Start / End Page

375 / 384

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Rats, Wistar
  • Rats
  • Neurology & Neurosurgery
  • Models, Neurological
  • Models, Anatomic
  • Male
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted