Journal
BRAIN AND BEHAVIOR
Volume 4, Issue 6, Pages 877-885Publisher
WILEY
DOI: 10.1002/brb3.286
Keywords
Connectomics; default mode network; functional magnetic resonance imaging; graph theory; language; memory; resting state
Categories
Funding
- National Institutes of Health [P41-RR14075, R01-NS037462, R0-1NS069696, 5R01-NS060918]
- NCRR
- NIH Human Connectome Project
- Mental Illness and Neuroscience Discovery Institute
- NWO (Dutch Organization for Scientific Research) Rubicon grant
- Epilepsy Foundation
- RSNA Research Medical Student Grant [RMS 1310]
- Japan Epilepsy Research Foundation
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Introduction: Functional MRI is widely used to study task-related changes in neuronal activity as well as resting-state functional connectivity. In this study, we explore task-related changes in functional connectivity networks using fMRI. Dynamic connectivity may represent a new measure of neural network robustness that would impact both clinical and research efforts. However, prior studies of task-related changes in functional connectivity have shown apparently conflicting results, leading to several competing hypotheses regarding the relationship between task-related and resting-state brain networks. Methods: We used a graph theory-based network approach to compare functional connectivity in healthy subjects between the resting state and when performing a clinically used semantic decision task. We analyzed fMRI data from 21 healthy, right-handed subjects. Results: While three nonoverlapping, highly intraconnected functional modules were observed in the resting state, an additional language-related module emerged during the semantic decision task. Both overall and within-module connectivity were greater in default mode network (DMN) and classical language areas during semantic decision making compared to rest, while between-module connectivity was diffusely greater at rest, revealing a more widely distributed pattern of functional connectivity at rest. Conclusions: The results of this study suggest that there are differences in network topology between resting and task states. Specifically, semantic decision making is associated with a reduction in distributed connectivity through hub areas of the DMN as well as an increase in connectivity within both default and language networks.
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