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Related Experiment Video

Updated: May 16, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Novel surface-smoothing based local gyrification index.

Evgeniy Lebed1, Claudia Jacova, Lei Wang

  • 1School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6 Canada. elebed@sfu.ca

IEEE Transactions on Medical Imaging
|December 6, 2012
PubMed
Summary
This summary is machine-generated.

Brain folding changes, including decreased gyrification in key Alzheimer's affected regions and increased folding elsewhere, are identified using a novel method. This aids in understanding neurodegenerative disease progression.

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Determination of Aggregate Surface Morphology at the Interfacial Transition Zone (ITZ)
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone (ITZ)

Published on: December 16, 2019

Related Experiment Videos

Last Updated: May 16, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone (ITZ)
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone (ITZ)

Published on: December 16, 2019

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Neurology

Background:

  • Cortical surface folding quantification is crucial for diagnosing neurodegenerative diseases.
  • Existing methods for assessing brain folding have limitations.
  • Alzheimer's Disease (AD) pathology impacts brain structure, necessitating advanced analysis techniques.

Purpose of the Study:

  • To review existing methods for quantifying cortical folding.
  • To propose a novel method for mapping the local gyrification index.
  • To investigate gyrification patterns in Alzheimer's Disease.

Main Methods:

  • A novel method was developed to map the local gyrification index on the cortical surface.
  • The method was applied to subjects with mild and very mild Alzheimer's dementia (n=20, n=23) and age-matched healthy controls (n=52).
  • Analysis focused on regional changes in gyrification.

Main Results:

  • A consistent pattern of gyrification changes was observed in dementia subjects.
  • Decreased gyrification was noted in medial temporal lobe and cingulate gyrus regions, typically affected early in AD.
  • Increased gyrification was observed in frontal, anterior temporal, and posterior regions in dementia subjects.

Conclusions:

  • Neurodegenerative diseases like Alzheimer's Disease involve dynamic changes in cortical folding.
  • Both decreases and increases in gyrification occur as atrophy progresses.
  • The novel method provides a more detailed understanding of structural changes in Alzheimer's Disease.