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Related Concept Videos

Cerebrum: Anatomical Overview I01:26

Cerebrum: Anatomical Overview I

The main and largest component of the human brain is the cerebrum. The cerebrum consists of two main parts: the cerebral cortex, an outer layer with wrinkles or folds known as gyri and shallow grooves called sulci, and a deeper region beneath it. The cerebrum divides into two distinct hemispheres and contains five different lobes: the frontal, parietal, temporal, occipital, and insula. The central sulcus separates the frontal and parietal lobes and two functionally important gyri — the...
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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
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Related Experiment Video

Updated: Jun 13, 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

A computational model of cerebral cortex folding.

Jingxin Nie1, Gang Li, Lei Guo

  • 1School of Automation, Northwestern Polytechnical University, Xi'an, China.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|April 30, 2010
PubMed
Summary

This study models human cerebral cortex folding using computational methods. Findings suggest skull constraints and cell growth rates significantly influence the brain

Keywords:
cortex foldingsimulation

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Cortical folding is a complex process crucial for brain function.
  • Understanding the mechanisms of cerebral cortex folding is a key research objective.

Purpose of the Study:

  • To present a computational 3D geometric model of cerebral cortex folding.
  • To investigate the factors influencing cortical folding patterns using computational simulations.

Main Methods:

  • Initialized a 3D geometric model with human fetal brain MRI data.
  • Applied partial differential equations to simulate cortical growth and deformation.
  • Conducted computational experiments to test hypotheses regarding folding regulation.

Main Results:

  • Simulations support the hypothesis that mechanical constraints of the skull regulate cortical folding.
  • Demonstrated the dependence of cortical folding patterns on global cell growth rates.
  • Showed that folding patterns are influenced by differential tethering of cortical areas and initial geometry.

Conclusions:

  • The computational model provides a framework for studying cortical folding.
  • Mechanical skull constraints, global cell growth, and regional tethering are critical factors in determining cortical folding patterns.