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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Measuring graphical strength within the connectome: A neuroanatomic, parcellation-based study.

Ryan G Jones1, Robert G Briggs2, Andrew K Conner1

  • 1Department of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, United States of America.

Journal of the Neurological Sciences
|November 12, 2019
PubMed
Summary

Brain connectome mapping reveals that regions with high structural strength are linked to critical functions like motor control, sensory processing, and language. This finding advances our understanding of brain organization and function.

Keywords:
EdgesGraph theoryMatrixNeurosurgeryNodesStrengthTractography

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Area of Science:

  • Neuroscience
  • Graph Theory
  • Connectomics

Background:

  • Graph theory offers a mathematical framework for studying the brain's connectome.
  • Limited research has explored the relationship between graph metrics and brain function.
  • This study investigates the link between cortical region strength and its functional role.

Purpose of the Study:

  • To identify associations between the structural strength of cortical regions and their functions.
  • To explore the utility of graph theory in understanding brain organization.

Main Methods:

  • Eight whole-brain structural graphs were created using Human Connectome Project data.
  • Diffusion spectrum imaging and fiber tractography were employed.
  • The strength of each cortical region was quantified.

Main Results:

  • Rank-order analysis identified 27 areas with high average strength.
  • These areas include primary motor cortex (Area 4), sensory cortex (Areas 2, 3a, 3b), visual cortex (Areas V1-V4), and language areas (Area 44).
  • High structural strength correlates with eloquent cortical functions.

Conclusions:

  • Cortical regions exhibiting high average strength are often associated with critical brain functions.
  • These include primary sensorimotor cortex, primary visual cortex, and Broca's area.
  • Future research will explore the impact of neurological diseases on this structural metric.