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  Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI

Schäfer, A., Margulies, D. S., Lohmann, G., Gorgolewski, K. J., Smallwood, J., Kiebel, S. J., et al. (2014). Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI. Frontiers in Human Neuroscience, 8: 195. doi:10.3389/fnhum.2014.00195.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-B564-A Version Permalink: http://hdl.handle.net/21.11116/0000-0003-801D-C
Genre: Journal Article

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 Creators:
Schäfer, Alexander1, Author              
Margulies, Daniel S.2, Author              
Lohmann, Gabriele3, Author
Gorgolewski, Krzysztof J.2, Author              
Smallwood, Jonathan4, Author              
Kiebel, Stefan J.1, 5, Author              
Villringer, Arno1, 6, 7, 8, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
3Department of High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ou_persistent22              
4Department of Psychology, University of York, Heslington, United Kingdom, ou_persistent22              
5Department of Neurology, Biomagnetic Center, Jena University Hospital, Germany, ou_persistent22              
6Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
7Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
8Center for Stroke Research, Charité University Medicine Berlin, Germany, ou_persistent22              

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Free keywords: Graphs; Self-generated thoughts; Brain networks; Mind wandering
 Abstract: 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. The extent of the network variation was related to the connectedness of the hub. 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.

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Language(s): eng - English
 Dates: 2013-12-202014-03-182014-05-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: BibTex Citekey: schaefer2014dynamic
DOI: 10.3389/fnhum.2014.00195
PMID: 24860458
PMC: PMC4018560
Other: eCollection 2014
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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 8 Sequence Number: 195 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: /journals/resource/1662-5161