Persistency and flexibility of complex brain networks underlie dual-task interference

Area of Science:

• Neuroscience
• Cognitive Science
• Network Science

Background:

• Multitasking performance declines are often attributed to interference between specialized brain modules.
• Understanding the relationship between brain network organization and behavioral costs during dual-tasking is crucial.

Purpose of the Study:

• To investigate how the modular organization of brain networks relates to behavioral costs during simultaneous visuospatial and speech tasks.
• To examine the impact of topological overlap and modular flexibility on dual-task performance.

Main Methods:

• Utilized graph-theoretical network analysis on resting-state and task functional magnetic resonance imaging (fMRI) data.
• Assessed topological overlap between single-task modules and modular flexibility during dual-tasking.
• Correlated network organization metrics with behavioral dual-task costs, specifically visuospatial accuracy decline.

Main Results:

• Significant decline in visuospatial accuracy was observed in the dual-task condition.
• Higher overlap between single-task brain modules correlated with greater visuospatial accuracy decline.
• Lower modular flexibility in adapting to dual-tasking also correlated with increased behavioral interference.
• Specific regional patterns, including somatomotor cortex overlap and cingulate/frontal control area flexibility, were linked to performance.

Conclusions:

• Brain module persistency and flexibility are key determinants of dual-task costs.
• Efficient dual-tasking requires a balanced interplay between modular rigidity and flexibility.
• Network-based approaches offer insights into the neural mechanisms underlying cognitive control and multitasking.