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How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
Published on: January 2, 2012
A new method to measure cortical growth in the developing brain.
Andrew K Knutsen1, Yulin V Chang, Cindy M Grimm
1Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, 1 Brookings Drive, P.O. Box 1185, Saint Louis, MO 63130, USA. akknutsen@gmail.com
Journal of Biomechanical Engineering
|October 5, 2010
Summary
Researchers developed a new magnetic resonance imaging (MRI) technique to measure brain surface growth during development. This method quantifies spatial and directional variations in cortical folding, enhancing our understanding of brain development biomechanics.
Area of Science:
- Neuroscience
- Biophysics
- Developmental Biology
Background:
- Cerebral cortex folding is crucial for higher mammal brain development.
- The biomechanics and growth patterns during cortical folding are not fully understood.
- Cortical surface growth is known to be heterogeneous and anisotropic.
Purpose of the Study:
- To develop and apply a novel technique for measuring spatial and directional variations in cortical surface growth.
- To characterize the biomechanics of cortical folding using longitudinal MRI data.
- To illuminate the quantitative patterns of growth during brain development.
Main Methods:
- Developed a new surface registration algorithm using partial differential equations and finite element method.
- Applied the technique to longitudinal in vivo MRI data of ferret brains at different developmental stages.
- Validated the method with simulated test cases.
Main Results:
- Quantitative measurements of spatial, temporal, and directional variations in cortical growth were obtained.
- Deformation gradient and Lagrangian strain tensors were used to describe growth kinematics.
- The novel registration method successfully aligned cortical surfaces while minimizing deformation.
Conclusions:
- The developed MRI-based technique provides a powerful tool for studying brain development biomechanics.
- This method offers new insights into the complex processes of cortical folding.
- Quantitative characterization of growth patterns advances our understanding of neurodevelopment.

