Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI
Network studies of large-scale brain connectivity have demonstrated that highly connected areas, or ‘hubs’, are a key feature of human functional and structural brain organization. We use resting-state functional MRI data and connectivity clustering to identify multi network hubs and show that while...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-05-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00195/full |
| _version_ | 1818215855241035776 |
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| author | Alexander eSchaefer Daniel S Margulies Gabriele eLohmann Krzysztof eGorgolewski Jonathan eSmallwood Stefan J Kiebel Stefan J Kiebel Arno eVillringer Arno eVillringer Arno eVillringer Arno eVillringer |
| author_facet | Alexander eSchaefer Daniel S Margulies Gabriele eLohmann Krzysztof eGorgolewski Jonathan eSmallwood Stefan J Kiebel Stefan J Kiebel Arno eVillringer Arno eVillringer Arno eVillringer Arno eVillringer |
| author_sort | Alexander eSchaefer |
| collection | DOAJ |
| description | Network studies of large-scale brain connectivity have demonstrated that highly connected areas, or ‘hubs’, are a key feature of human functional and structural brain organization. We use resting-state functional MRI data and connectivity clustering to identify multi network hubs and show that while hubs can belong to multiple networks their degree of integration into these different networks varies dynamically over time. In addition, we found that these network dynamics were inversely related to positive self-generated thoughts reported by individuals and were further decreased with older age. Moreover, the left caudate varied its degree of participation between a default mode subnetwork and a limbic network. This variation was predictive of individual differences in the reports of past-related thoughts. These results support an association between ongoing thought processes and network dynamics and offer a new approach to investigate the brain dynamics underlying mental experience. |
| first_indexed | 2024-12-12T06:42:42Z |
| format | Article |
| id | doaj.art-f7cb6f2b8ae440a991d2ca47f6b10b3d |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-12T06:42:42Z |
| publishDate | 2014-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-f7cb6f2b8ae440a991d2ca47f6b10b3d2022-12-22T00:34:18ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612014-05-01810.3389/fnhum.2014.0019579317Dynamic network participation of functional connectivity hubs assessed by resting-state fMRIAlexander eSchaefer0Daniel S Margulies1Gabriele eLohmann2Krzysztof eGorgolewski3Jonathan eSmallwood4Stefan J Kiebel5Stefan J Kiebel6Arno eVillringer7Arno eVillringer8Arno eVillringer9Arno eVillringer10Max Planck Institute for Human Cognitive and Brain SciencesMax Planck Institute for Human Cognitive and Brain SciencesMax Planck Institute for Biological CyberneticsMax Planck Institute for Human Cognitive and Brain SciencesThe University of YorkMax Planck Institute for Human Cognitive and Brain SciencesUniversity Clinics JenaMax Planck Institute for Human Cognitive and Brain SciencesBerlin School of Mind and BrainUniversity Hospital LeipzigCharité - Universitätsmedizin BerlinNetwork studies of large-scale brain connectivity have demonstrated that highly connected areas, or ‘hubs’, are a key feature of human functional and structural brain organization. We use resting-state functional MRI data and connectivity clustering to identify multi network hubs and show that while hubs can belong to multiple networks their degree of integration into these different networks varies dynamically over time. In addition, we found that these network dynamics were inversely related to positive self-generated thoughts reported by individuals and were further decreased with older age. Moreover, the left caudate varied its degree of participation between a default mode subnetwork and a limbic network. This variation was predictive of individual differences in the reports of past-related thoughts. These results support an association between ongoing thought processes and network dynamics and offer a new approach to investigate the brain dynamics underlying mental experience.http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00195/fullMemorymind wanderingnetworksbrain networksCluster analysisgraphs |
| spellingShingle | Alexander eSchaefer Daniel S Margulies Gabriele eLohmann Krzysztof eGorgolewski Jonathan eSmallwood Stefan J Kiebel Stefan J Kiebel Arno eVillringer Arno eVillringer Arno eVillringer Arno eVillringer Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI Frontiers in Human Neuroscience Memory mind wandering networks brain networks Cluster analysis graphs |
| title | Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI |
| title_full | Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI |
| title_fullStr | Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI |
| title_full_unstemmed | Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI |
| title_short | Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI |
| title_sort | dynamic network participation of functional connectivity hubs assessed by resting state fmri |
| topic | Memory mind wandering networks brain networks Cluster analysis graphs |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00195/full |
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