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Updated: May 29, 2026

Chronic Imaging of Mouse Visual Cortex Using a Thinned-skull Preparation
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Published on: October 25, 2010

Automatic cortical thickness analysis on rodent brain.

Joohwi Lee1, Cindy Ehlers, Fulton Crews

  • 1Department of Computer Science, University of North Carolina, Chapel Hill NC, USA.

Proceedings of Spie--The International Society for Optical Engineering
|September 13, 2011
PubMed
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This study presents a novel algorithm for accurately measuring rodent brain cortical thickness. The method reveals significant cortical differences in rats exposed to adolescent intermittent ethanol, impacting adult brain structure.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Medical Imaging

Background:

  • Cortical thickness is a key morphometric trait in brain studies.
  • Existing human brain analysis tools are unsuitable for smaller rodent brains due to scale differences.

Purpose of the Study:

  • To develop and validate an algorithm for automatic cortical thickness measurement in mouse and rat brains.
  • To assess the persistent effects of adolescent intermittent ethanol exposure on adult rat cortical thickness.

Main Methods:

  • Algorithm involves neocortex segmentation, thickness measurement via Laplacian PDE and transport equations, and statistical analysis.
  • Particle correspondence algorithm with thin-plate spline interpolation ensures accurate point-wise thickness comparison.
  • T-test used to compare cortical thickness between control and ethanol-exposed rat groups.

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Main Results:

  • Successfully developed an automated algorithm for rodent cortical thickness mapping.
  • Identified significantly different cortical thickness regions in both hemispheres of ethanol-exposed rats.
  • Demonstrated the algorithm's utility in neurodevelopmental toxicology studies.

Conclusions:

  • The new algorithm provides a scalable solution for rodent brain morphometry.
  • Adolescent intermittent ethanol exposure leads to persistent, localized changes in adult rat cortical thickness.
  • This tool aids in understanding the long-term neurobiological consequences of early-life exposures.