Task vs. rest-different network configurations between the coactivation and the resting-state brain networks
Xin Di1, Suril Gohel, Eun H Kim
1Department of Biomedical Engineering, New Jersey Institute of Technology Newark, NJ, USA.
Frontiers in Human Neuroscience
|September 25, 2013
Summary
Brain networks during rest and task performance differ. Task networks show more efficient global communication and integration, with key hubs like the thalamus shifting roles compared to resting-state networks.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Systems Neuroscience
Background:
- Resting-state functional magnetic resonance imaging (fMRI) is increasingly used to study human brain networks.
- The comparability of resting-state brain networks to task-performance networks remains unclear.
Purpose of the Study:
- To compare the configuration of brain networks during task performance with resting-state networks.
- To investigate meta-analytic coactivation patterns and their relationship to resting-state functional connectivity.
Main Methods:
- Utilized meta-analytic coactivation patterns from published neuroimaging studies.
- Compared coactivation network properties with resting-state network properties.
- Analyzed global efficiency, mean clustering coefficient, modularity, and hub shifts.
Main Results:
- Resting-state functional connectivity strength correlated strongly with coactivation strength.
- Coactivation networks exhibited greater global efficiency, lower modularity, and smaller mean clustering coefficients than resting-state networks.
- Observed hub shifts in the thalamus (increased degree) and left inferior temporal cortex (decreased degree) during task performance.
Conclusions:
- Brain network configurations differ significantly between task and resting-state conditions.
- Task performance facilitates more efficient global information transmission and inter-system integration.
- The thalamus plays a crucial role in reconfiguring brain network dynamics during task engagement.
