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Related Experiment Video

Updated: May 28, 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

Changes in cognitive state alter human functional brain networks.

Malaak Nasser Moussa¹, Crystal D Vechlekar, Jonathan H Burdette

¹Neuroscience Program, Wake Forest University School of Medicine Winston-Salem, NC, USA.

Frontiers in Human Neuroscience

|October 13, 2011

Summary

Brain networks are dynamic, changing with tasks despite overall stability. This study reveals task-induced shifts in functional brain connectivity, efficiency, and community structure at the regional level.

Keywords:

efficiency modularity network science small-world task-based

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Area of Science:

Neuroscience
Network Science
Cognitive Science

Background:

Human functional brain networks at rest show small-world properties and hubs in the default mode network.
Previous studies on brain network dynamics across different tasks have yielded inconclusive results.
Understanding brain network dynamics is crucial as behavioral output depends on network adaptability.

Purpose of the Study:

To comprehensively evaluate multiple network metrics at a voxel-wise resolution in the human brain.
To investigate brain network changes under various conditions: resting state, visual, and multisensory stimulation.
To determine if functional brain networks are dynamic across different cognitive states.

Main Methods:

Employed network theory principles to analyze functional brain networks.
Utilized voxel-wise analysis for whole-brain and regional assessments.
Examined network metrics during resting state, visual stimulation, and multisensory (auditory and visual) stimulation.

Main Results:

Global functional brain network properties remained stable across conditions.
Significant task-induced changes were observed in regional connectivity.
Functional brain networks demonstrated considerable alterations in efficiency and community structure at the regional level.

Conclusions:

Functional brain networks exhibit substantial regional dynamism in response to tasks.
Despite global stability, specific brain regions dynamically reconfigure their network properties.
These findings highlight the adaptive nature of brain networks during cognitive processing.