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Intrinsic overlapping modular organization of human brain functional networks revealed by a multiobjective

Ying Lin1, Junji Ma1, Yue Gu1

  • 1Department of Psychology, Sun Yat-sen University, Guangzhou, 510006, China.

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|July 15, 2018
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Summary

The human brain

Keywords:
Evolutionary algorithmsGraph theoryOverlapping modular structureResting-state fMRI

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Area of Science:

  • Neuroscience
  • Network Science
  • Brain Imaging

Background:

  • Resting-state functional MRI (R-fMRI) reveals brain modularity.
  • Overlapping modular structure in brain networks is hypothesized but poorly understood.
  • Topological features and functional roles of overlapping brain regions require clarification.

Purpose of the Study:

  • To explore the overlapping modular structure of the human brain's functional network using R-fMRI data.
  • To characterize the topological and functional properties of overlapping brain regions.
  • To investigate the importance of overlapping regions in brain function.

Main Methods:

  • Utilized a maximal-clique based multiobjective evolutionary algorithm on R-fMRI data from 57 healthy adults.
  • Applied graph theory analyses to classify overlapping regions into integrated and dominant minority clubs.
  • Conducted functional flexibility analysis and lesion simulations.

Main Results:

  • Identified eight overlapping modules in the brain's functional network without prior assumptions.
  • Classified overlapping regions into integrated and dominant minority clubs based on topology.
  • Demonstrated that overlapping regions exhibit higher functional flexibility and are more critical than non-overlapping regions or hubs during simulated attacks.

Conclusions:

  • The human brain exhibits a highly organized overlapping modular architecture.
  • Overlapping brain regions are crucial for executing multiple tasks and maintaining information communication.
  • Findings highlight the complexity and importance of overlapping regions in brain topology and function.