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Related Experiment Video

Updated: May 27, 2026

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Scale-invariant brain morphometry: application to sulcal depth.

Maxime Dieudonné1, Guillaume Auzias1, Julien Lefèvre1

  • 1Institut de Neurosciences de la Timone, UMR 7289, CNRS, Aix-Marseille Université, Marseille, 13005, France.

Computers in Biology and Medicine
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

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This study reveals how brain size impacts human cortical sulcal depth, introducing a new scale-invariant measurement method. This research offers valuable insights into brain morphometry across development.

Area of Science:

  • Neuroimaging
  • Human Anatomy
  • Developmental Neuroscience

Background:

  • Human cortical geometry is complex and varies significantly.
  • Brain size, cortical folding, and age are known interacting factors.
  • The influence of global brain size on cortical surface morphometry, particularly sulcal depth, is under-explored.

Purpose of the Study:

  • To quantitatively analyze the influence of brain size on sulcal depth measurements.
  • To introduce a novel, scale-invariant method for estimating sulcal depth.
  • To validate the method and demonstrate its biological relevance in a large developmental cohort.

Main Methods:

  • Development of a novel, scale-invariant method for sulcal depth estimation.
  • Quantitative analysis of brain size effects on sulcal depth.
Keywords:
Cortical surfaceMagnetic resonance imagingSulcal depth

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  • Validation using a framework and benchmark data.
  • Application to a large dataset (1987 subjects) from 26 weeks post-conception to adulthood.

    • Main Results:

    • The first quantitative analysis demonstrating the influence of brain size on sulcal depth.
    • A new, scale-invariant method for sulcal depth measurement was successfully introduced.
    • The method's biological relevance was confirmed across a wide developmental range.

    Conclusions:

    • Brain size is a significant factor influencing human cortical sulcal depth.
    • The novel scale-invariant method provides a more robust measure of sulcal depth.
    • This work advances the understanding of brain morphometry and its developmental trajectories.