Fast transient networks in spontaneous human brain activity
To provide an effective substrate for cognitive processes, functional brain networks should be able to reorganize and coordinate on a sub-second temporal scale. We used magnetoencephalography recordings of spontaneous activity to characterize whole-brain functional connectivity dynamics at high temp...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
eLife Sciences Publications
2014
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| Online Access: | https://eprints.nottingham.ac.uk/42022/ |
| _version_ | 1848796401728749568 |
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| author | Baker, Adam P. Brookes, Matthew J. Rezek, Iead A. Smith, Stephen M. Behrens, Timothy Probert Smith, Penny J. Woolrich, Mark W. |
| author_facet | Baker, Adam P. Brookes, Matthew J. Rezek, Iead A. Smith, Stephen M. Behrens, Timothy Probert Smith, Penny J. Woolrich, Mark W. |
| author_sort | Baker, Adam P. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | To provide an effective substrate for cognitive processes, functional brain networks should be able to reorganize and coordinate on a sub-second temporal scale. We used magnetoencephalography recordings of spontaneous activity to characterize whole-brain functional connectivity dynamics at high temporal resolution. Using a novel approach that identifies the points in time at which unique patterns of activity recur, we reveal transient (100–200 ms) brain states with spatial topographies similar to those of well-known resting state networks. By assessing temporal changes in the occurrence of these states, we demonstrate that within-network functional connectivity is underpinned by coordinated neuronal dynamics that fluctuate much more rapidly than has previously been shown. We further evaluate cross-network interactions, and show that anticorrelation between the default mode network and parietal regions of the dorsal attention network is consistent with an inability of the system to transition directly between two transient brain states. |
| first_indexed | 2025-11-14T19:47:24Z |
| format | Article |
| id | nottingham-42022 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:47:24Z |
| publishDate | 2014 |
| publisher | eLife Sciences Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-420222020-05-04T16:44:19Z https://eprints.nottingham.ac.uk/42022/ Fast transient networks in spontaneous human brain activity Baker, Adam P. Brookes, Matthew J. Rezek, Iead A. Smith, Stephen M. Behrens, Timothy Probert Smith, Penny J. Woolrich, Mark W. To provide an effective substrate for cognitive processes, functional brain networks should be able to reorganize and coordinate on a sub-second temporal scale. We used magnetoencephalography recordings of spontaneous activity to characterize whole-brain functional connectivity dynamics at high temporal resolution. Using a novel approach that identifies the points in time at which unique patterns of activity recur, we reveal transient (100–200 ms) brain states with spatial topographies similar to those of well-known resting state networks. By assessing temporal changes in the occurrence of these states, we demonstrate that within-network functional connectivity is underpinned by coordinated neuronal dynamics that fluctuate much more rapidly than has previously been shown. We further evaluate cross-network interactions, and show that anticorrelation between the default mode network and parietal regions of the dorsal attention network is consistent with an inability of the system to transition directly between two transient brain states. eLife Sciences Publications 2014-03-25 Article PeerReviewed Baker, Adam P., Brookes, Matthew J., Rezek, Iead A., Smith, Stephen M., Behrens, Timothy, Probert Smith, Penny J. and Woolrich, Mark W. (2014) Fast transient networks in spontaneous human brain activity. eLife, 3 . e01867/1-e01867/18. ISSN 2050-084X https://elifesciences.org/content/3/e01867 doi:10.7554/eLife.01867 doi:10.7554/eLife.01867 |
| spellingShingle | Baker, Adam P. Brookes, Matthew J. Rezek, Iead A. Smith, Stephen M. Behrens, Timothy Probert Smith, Penny J. Woolrich, Mark W. Fast transient networks in spontaneous human brain activity |
| title | Fast transient networks in spontaneous human brain activity |
| title_full | Fast transient networks in spontaneous human brain activity |
| title_fullStr | Fast transient networks in spontaneous human brain activity |
| title_full_unstemmed | Fast transient networks in spontaneous human brain activity |
| title_short | Fast transient networks in spontaneous human brain activity |
| title_sort | fast transient networks in spontaneous human brain activity |
| url | https://eprints.nottingham.ac.uk/42022/ https://eprints.nottingham.ac.uk/42022/ https://eprints.nottingham.ac.uk/42022/ |