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Related Experiment Video

Updated: Sep 4, 2025

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
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Brain morphometric similarity and flexibility.

Vesna Vuksanović1

  • 1Health Data Science, Swansea University Medical School, Swansea University, Data Science Building, Swansea SA2 8PP, Wales, United Kingdom.

Cerebral Cortex Communications
|July 20, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces novel multilayer brain networks to analyze cerebral cortex modularity. Findings reveal consistent community structures and flexible hubs, offering new insights into brain organization and neurodegeneration patterns.

Keywords:
ageingflexibilitygeneral intelligencemorphometric similarity networkmultilayer networks

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Area of Science:

  • Neuroscience
  • Network Science
  • Brain Imaging

Background:

  • The cerebral cortex's modular structure is studied using multilayer morphometric similarity networks.
  • This novel approach quantifies brain network metrics beyond conventional analyses.

Purpose of the Study:

  • To investigate the modular structures of the cerebral cortex through multilayer networks.
  • To identify consistent modular interactions across different morphometric features and individuals.

Main Methods:

  • Constructed 8 combinations of morphometric similarity networks using 2 brain atlases and 4 cortical feature sets.
  • Analyzed modular structures by identifying consistent interactions across network combinations.

Main Results:

  • Community structures align with cortical lobar divisions and are influenced by morphometric feature combinations.
  • Mapped flexible and inflexible morphometric similarity hubs, revealing age and IQ variations in modular network topology.

Conclusions:

  • Provides evidence for community structures as a property of cortical organization and feature-dependent constructions.
  • Contributes to understanding intra-regional cortical interactions for mapping neurodegeneration patterns.