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
Dr 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
Professor 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., Mullinger, K. J., Coombes, S., & Brookes, M. J. (2019). 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 | May 16, 2018 |
Publication Date | 2019-06 |
Deposit Date | Jun 8, 2018 |
Publicly Available Date | May 17, 2019 |
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 |
Contract Date | Jun 8, 2018 |
Files
Envelope_FC_CerebCortex_revision_v9.pdf
(681 Kb)
PDF
You might also like
Understanding the effect of white matter delays on large scale brain synchrony
(2024)
Journal Article
Next generation neural population models
(2023)
Journal Article
The two-process model for sleep–wake regulation: A nonsmooth dynamics perspective
(2022)
Journal Article
Structure-function clustering in weighted brain networks
(2022)
Journal Article
Neural fields with rebound currents: Novel routes to patterning
(2021)
Journal Article