Preejas Tewarie
Relationships Between Neuronal Oscillatory Amplitude and Dynamic Functional Connectivity
Tewarie, Preejas; Hunt, Benjamin A E; O'Neill, George C.; Byrne, Aine; Aquino, Kevin; Bauer, Markus; Mullinger, Karen J; Coombes, Stephen; Brookes, Matthew J
Authors
Benjamin A E Hunt
George C. O'Neill
Aine Byrne
Kevin Aquino
MARKUS BAUER MARKUS.BAUER@NOTTINGHAM.AC.UK
Assistant Professor
Dr KAREN MULLINGER KAREN.MULLINGER@NOTTINGHAM.AC.UK
Associate Professor
Professor STEPHEN COOMBES STEPHEN.COOMBES@NOTTINGHAM.AC.UK
Professor of Applied Mathematics
MATTHEW BROOKES MATTHEW.BROOKES@NOTTINGHAM.AC.UK
Professor of Physics
Abstract
Event related fluctuations of neural oscillatory amplitude are reported widely in the context of cognitive processing and are typically interpreted as a marker of brain ‘activity’. However, the precise nature of these effects remains unclear; in particular, whether such fluctuations reflect local dynamics, integration between regions, or both, is unknown. Here, using magnetoencephalography (MEG), we show that movement induced oscillatory modulation is associated with transient connectivity between sensorimotor regions. Further, in resting state data, we demonstrate a significant association between oscillatory modulation and dynamic connectivity. A confound with such empirical measurements is that increased amplitude necessarily means increased signal to noise ratio (SNR): this means that the question of whether amplitude and connectivity are genuinely coupled, or whether increased connectivity is observed purely due to increased SNR is unanswered. Here we counter this problem by analogy with computational models which show that, in the presence of global network coupling and local multistability, the link between oscillatory modulation and long range connectivity is a natural consequence of neural networks. Our results provide evidence for the notion that connectivity is mediated by neural oscillations, and suggest that time-frequency spectrograms are not merely a description of local synchrony but also reflect fluctuations in long range connectivity.
Citation
Tewarie, P., Hunt, B. A. E., O'Neill, G. C., Byrne, A., Aquino, K., Bauer, M., …Brookes, M. J. (2018). Relationships Between Neuronal Oscillatory Amplitude and Dynamic Functional Connectivity. Cerebral Cortex, 29(6), 2668-2681. https://doi.org/10.1093/cercor/bhy136
Journal Article Type | Article |
---|---|
Acceptance Date | May 9, 2018 |
Online Publication Date | Jun 12, 2018 |
Publication Date | Jun 1, 2018 |
Deposit Date | Jun 8, 2018 |
Publicly Available Date | Mar 28, 2024 |
Journal | Cerebral Cortex |
Print ISSN | 1047-3211 |
Electronic ISSN | 1460-2199 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 29 |
Issue | 6 |
Pages | 2668-2681 |
DOI | https://doi.org/10.1093/cercor/bhy136 |
Keywords | Dynamic functional connectivity; Amplitude envelopes; Magnetoencephalography; Coupled neural masses; Neural mass bifurcation; Neuronal oscillations; Time-frequency |
Public URL | https://nottingham-repository.worktribe.com/output/938265 |
Publisher URL | https://academic.oup.com/cercor/article/29/6/2668/5036075 |
Additional Information | This is a pre-copyedited, author-produced version of an article accepted for publication in Cerebral Cortex following peer review. The version of record is available online at: https://academic.oup.com/cercor/article/29/6/2668/5036075 |
Files
Envelope_FC_CerebCortex_revision_v9.pdf
(681 Kb)
PDF
Envelope_FC_CerebCortex_revision_v9.pdf
(768 Kb)
PDF
You might also like
Dynamics of large-scale electrophysiological networks: a technical review
(2017)
Journal Article
Abnormal task driven neural oscillations in multiple sclerosis: a visuomotor MEG study
(2017)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search