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Gender differences in cortical morphological networks.

Ahmed Nebli1,2, Islem Rekik3,4

  • 1BASIRA Lab, Faculty of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey.

Brain Imaging and Behavior
|May 19, 2019
PubMed
Summary
This summary is machine-generated.

This study reveals significant gender differences in human brain cortical morphological networks (CMN). Machine learning identified key left hemisphere connections, particularly involving the entorhinal cortex, offering insights into sex-based learning variations.

Keywords:
Brain connectivityCortical morphological networksCortical morphologyFeature selectionGender differencesSulcal depthT1-weighted MRI

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Brain Morphology

Background:

  • Cortical morphological networks (CMN) analyze inter-regional brain morphology relationships.
  • Previous research has not explored gender differences in CMNs.
  • Univariate methods may miss complex, multivariate gender markers in brain structure.

Purpose of the Study:

  • To investigate gender differences in human brain cortical morphological networks.
  • To identify discriminative CMN connections between males and females using machine learning.
  • To explore potential links between CMN differences and behavioral variations, such as learning styles.

Main Methods:

  • Utilized machine learning to analyze cortical morphological networks (CMN).
  • Examined relationships between different cortical brain regions using measurements like cortical thickness and sulcal depth.
  • Focused on identifying multivariate interacting effects within CMNs to detect gender-specific patterns.

Main Results:

  • The most discriminative CMN connections between males and females were found in the left hemisphere, specifically using mean sulcal depth.
  • Across both hemispheres, the primary discriminative morphological connection involved the entorhinal cortex paired with either the caudal anterior cingulate cortex (left hemisphere) or the transverse temporal cortex (right hemisphere).

Conclusions:

  • Cortical morphological networks reveal significant gender-based differences in brain structure.
  • Specific CMN connections, notably those involving the entorhinal cortex, are key indicators of these differences.
  • These findings provide an omics perspective on behavioral gender differences and may explain variations in learning between sexes.