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Dynamic coupling of complex brain networks and dual-task behavior.

Mohsen Alavash1, Christiane M Thiel2, Carsten Gießing3

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Dual-tasking performance fluctuates because brain networks dynamically change. Different brain network structures support visuospatial and speech tasks, impacting accuracy during multi-tasking.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Multi-tasking challenges cognitive performance.
  • Previous fMRI studies focused on static brain activity or connectivity during dual-tasking.
  • Understanding dynamic brain network changes during dual-task interference is crucial.

Purpose of the Study:

  • To investigate the relationship between dynamic brain network topology and behavioral fluctuations during dual-tasking.
  • To explore how time-varying functional connectivity relates to performance in concurrent visuospatial and speech tasks.
  • To identify specific network configurations supporting individual task performance within a dual-task context.

Main Methods:

  • Task-based functional magnetic resonance imaging (fMRI) with a sliding window approach.
  • Time-resolved functional connectivity analysis.
  • Complex network analysis to assess dynamic network topology.
  • Trial-by-trial behavioral response analysis.

Main Results:

  • Behavioral performance in dual-tasking showed temporal fluctuations, with component task accuracies being independent.
  • Dynamic changes in global brain network efficiency correlated differentially with visuospatial and speech task performance.
  • Decreased global efficiency predicted subsequent visuospatial accuracy, while increased between-module connectivity followed better speech performance.
  • Dynamic network modularity, particularly at the posterior cingulate cortex, predicted performance in each task distinctly.

Conclusions:

  • Each component task during dual-tasking is supported by a unique dynamic brain connectivity network topology.
  • The inability of brain networks to optimally adapt to support both tasks simultaneously contributes to performance fluctuations.
  • This study reveals a dynamic coupling between brain network topology and dual-task behavior.