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Related Experiment Video

Updated: Feb 1, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Multilayer network switching rate predicts brain performance.

Mangor Pedersen¹, Andrew Zalesky², Amir Omidvarnia³

¹The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC 3010, Australia; mangor.pedersen@florey.edu.au.

Proceedings of the National Academy of Sciences of the United States of America

|December 15, 2018

Summary

This summary is machine-generated.

Brain network switching, the rate at which brain regions change functional networks, is crucial for cognitive function. Higher switching rates correlate with better working memory and planning, highlighting its importance for optimal brain performance.

Keywords:

brain performance dynamic functional connectivity fMRI multilayer networks switching

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Area of Science:

Neuroscience
Network Science
Cognitive Science

Background:

Large-scale brain dynamics involve repeating spatiotemporal connectivity patterns reflecting different brain states.
The role of transitions between brain networks and their behavioral significance is poorly understood.

Purpose of the Study:

To model switching between functional brain networks using multilayer network methods.
To test associations between network switching parameters and behavioral measures.

Main Methods:

Calculated time-resolved functional MRI (fMRI) connectivity in 1,003 healthy adults.
Generated a spatiotemporal multilayer modularity model to quantify network switching.
Defined network switching as the rate of transit for each brain region between networks.

Main Results:

Found an inverse relationship between network switching and connectivity dynamics.
Observed lower brain connectivity during intervals of network switching.
Identified that brain areas with frequent network switching exhibited greater temporal complexity and were located in association cortices.
Network switching predicted intersubject variation in working memory, planning/reasoning, and sleep duration.

Conclusions:

Brain network switching is a fundamental feature of optimal brain function.
The ability to switch between network configurations is important for cognitive task performance and influences sleep.
Findings highlight the significance of brain dynamics in predicting task performance and sleep patterns.