Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks
There is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it is unclear whether and how brain networks measured during the resting-state exhibit comparable properties to brain networks during task performance. In the p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2013-09-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00493/full |
| _version_ | 1818467024816308224 |
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| author | Xin eDi Suril eGohel Eun H Kim Bharat B Biswal |
| author_facet | Xin eDi Suril eGohel Eun H Kim Bharat B Biswal |
| author_sort | Xin eDi |
| collection | DOAJ |
| description | There is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it is unclear whether and how brain networks measured during the resting-state exhibit comparable properties to brain networks during task performance. In the present study, we investigated meta-analytic coactivation patterns among brain regions based upon published neuroimaging studies, and compared the coactivation network configurations with those in the resting-state network. The strength of resting-state functional connectivity between two regions were strongly correlated with the coactivation strength. However, the coactivation network showed greater global efficiency, smaller mean clustering coefficient, and lower modularity compared with the resting-state network, which suggest a more efficient global information transmission and between system integrations during task performing. Hub shifts were also observed within the thalamus and the left inferior temporal cortex. The thalamus and the left inferior temporal cortex exhibited higher and lower degrees, respectively in the coactivation network compared with the resting-state network. These results shed light regarding the reconfiguration of the brain networks between task and resting-state conditions, and highlight the role of the thalamus in change of network configurations in task vs. rest. |
| first_indexed | 2024-04-13T21:03:13Z |
| format | Article |
| id | doaj.art-e5ceb1c171e54214a7d390fd03d96c9b |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-13T21:03:13Z |
| publishDate | 2013-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-e5ceb1c171e54214a7d390fd03d96c9b2022-12-22T02:30:04ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-09-01710.3389/fnhum.2013.0049356300Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain NetworksXin eDi0Suril eGohel1Eun H Kim2Bharat B Biswal3NJITNJITNJITNJITThere is a growing interest in studies of human brain networks using resting-state functional magnetic resonance imaging (fMRI). However, it is unclear whether and how brain networks measured during the resting-state exhibit comparable properties to brain networks during task performance. In the present study, we investigated meta-analytic coactivation patterns among brain regions based upon published neuroimaging studies, and compared the coactivation network configurations with those in the resting-state network. The strength of resting-state functional connectivity between two regions were strongly correlated with the coactivation strength. However, the coactivation network showed greater global efficiency, smaller mean clustering coefficient, and lower modularity compared with the resting-state network, which suggest a more efficient global information transmission and between system integrations during task performing. Hub shifts were also observed within the thalamus and the left inferior temporal cortex. The thalamus and the left inferior temporal cortex exhibited higher and lower degrees, respectively in the coactivation network compared with the resting-state network. These results shed light regarding the reconfiguration of the brain networks between task and resting-state conditions, and highlight the role of the thalamus in change of network configurations in task vs. rest.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00493/fullThalamusMeta-analysismodularityresting-statebrain networksmall world |
| spellingShingle | Xin eDi Suril eGohel Eun H Kim Bharat B Biswal Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks Frontiers in Human Neuroscience Thalamus Meta-analysis modularity resting-state brain network small world |
| title | Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks |
| title_full | Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks |
| title_fullStr | Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks |
| title_full_unstemmed | Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks |
| title_short | Task vs. Rest - Different Network Configurations between the Coactivation and the Resting-State Brain Networks |
| title_sort | task vs rest different network configurations between the coactivation and the resting state brain networks |
| topic | Thalamus Meta-analysis modularity resting-state brain network small world |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00493/full |
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