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...

Full description

Bibliographic Details
Main Authors:	Schaefer, Alexander, Margulies, Daniel S., Lohmann, Gabriele, Gorgolewski, Krzysztof J., Smallwood, Jonathan, Kiebel, Stefan J., Villringer, Arno
Format:	Online
Language:	English
Published:	Frontiers Media S.A. 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018560/

id	pubmed-4018560
recordtype	oai_dc
spelling	pubmed-40185602014-05-23 Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI Schaefer, Alexander Margulies, Daniel S. Lohmann, Gabriele Gorgolewski, Krzysztof J. Smallwood, Jonathan Kiebel, Stefan J. Villringer, Arno Neuroscience 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. Frontiers Media S.A. 2014-05-06 /pmc/articles/PMC4018560/ /pubmed/24860458 http://dx.doi.org/10.3389/fnhum.2014.00195 Text en Copyright © 2014 Schaefer, Margulies, Lohmann, Gorgolewski, Smallwood, Kiebel and Villringer. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Schaefer, Alexander Margulies, Daniel S. Lohmann, Gabriele Gorgolewski, Krzysztof J. Smallwood, Jonathan Kiebel, Stefan J. Villringer, Arno
spellingShingle	Schaefer, Alexander Margulies, Daniel S. Lohmann, Gabriele Gorgolewski, Krzysztof J. Smallwood, Jonathan Kiebel, Stefan J. Villringer, Arno Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI
author_facet	Schaefer, Alexander Margulies, Daniel S. Lohmann, Gabriele Gorgolewski, Krzysztof J. Smallwood, Jonathan Kiebel, Stefan J. Villringer, Arno
author_sort	Schaefer, Alexander
title	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_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_sort	dynamic network participation of functional connectivity hubs assessed by resting-state fmri
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. 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.
publisher	Frontiers Media S.A.
publishDate	2014
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018560/
_version_	1612088228321427456

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

Similar Items