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Related Experiment Video

Updated: Mar 15, 2026

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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Published on: May 7, 2014

Stability of Network Communities as a Function of Task Complexity.

Stefan Fuertinger¹, Kristina Simonyan¹

¹Icahn School of Medicine at Mount Sinai, New York, NY.

Journal of Cognitive Neuroscience

|August 31, 2016

Summary

Brain network community stability varies with task complexity. Functional communities are less stable during complex tasks like speaking compared to rest, impacting how well average networks represent individual brain activity.

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Area of Science:

Neuroscience
Complex Systems Science
Cognitive Science

Background:

Functional brain networks exhibit community structures related to behavior.
Previous research explored network changes during various cognitive states.
Intersubject stability of brain network communities across tasks remains understudied.

Purpose of the Study:

To investigate the intersubject stability of functional brain network communities.
To assess how task complexity influences community structure stability.
To determine the reliability of group-averaged networks in representing individual functional connectomes.

Main Methods:

Analyzed functional magnetic resonance imaging (fMRI) data from healthy participants.
Constructed weighted undirected graphs representing brain functional networks.
Performed leave-one-out stability analysis on group-averaged networks across rest, syllable production, and speech production tasks.

Main Results:

Functional community stability in group-averaged networks is task-dependent.
Community architecture reflects both within-task stability and between-task flexibility.
Sensitivity of functional communities increased from rest to simple vocalization to complex speech.

Conclusions:

Task complexity significantly impacts the stability of functional brain network communities.
Group-averaged network structures approximate individual partitions less accurately with increasing task complexity.
Findings highlight the dynamic nature of the human functional connectome across different behavioral demands.