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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Multimodal multilayer network centrality relates to executive functioning.

Lucas C Breedt1, Fernando A N Santos1,2, Arjan Hillebrand3

  • 1Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands.

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|June 20, 2023
PubMed
Summary
This summary is machine-generated.

Higher integration within the fronto-parietal network (FPN), analyzed using a multilayer framework, is linked to better executive functioning (EF). This approach offers a more comprehensive view of cognitive processes.

Keywords:
CognitionFunctional connectivityGraph theoryMinimum spanning treeMultiplex networksStructural connectivity

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Executive functioning (EF) relies on complex brain network integration.
  • The fronto-parietal network (FPN) is crucial for EF, but unimodal data integration remains a challenge.

Purpose of the Study:

  • To integrate multimodal neuroimaging and neuropsychological data using a multilayer framework.
  • To investigate the role of FPN integration in executive functioning.

Main Methods:

  • Utilized diffusion MRI, resting-state fMRI, MEG, and neuropsychological data from 33 healthy adults.
  • Constructed single-layer and multilayer network models of the FPN.
  • Calculated single-layer and multilayer eigenvector centrality to measure FPN integration.

Main Results:

  • Multilayer FPN centrality, reflecting network integration, positively correlated with better executive functioning.
  • Single-layer FPN centrality did not show a significant association with executive functioning.
  • No statistically significant increase in explained variance of EF was observed with the multilayer approach compared to single-layer measures.

Conclusions:

  • FPN integration is vital for executive functioning.
  • The multilayer network framework shows promise for a deeper understanding of cognitive processes.
  • This study highlights the benefits of integrating multimodal data for network neuroscience research.