Literature DB >> 29897408

Relationships Between Neuronal Oscillatory Amplitude and Dynamic Functional Connectivity.

Prejaas Tewarie1, Benjamin A E Hunt1, George C O'Neill1, Aine Byrne2, Kevin Aquino1, Markus Bauer3, Karen J Mullinger1, Stephen Coombes2, Matthew J Brookes1.   

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, 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.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Keywords:  amplitude envelopes; coupled neural masses; dynamic functional connectivity; magnetoencephalography; neural mass bifurcation; neuronal oscillations; time–frequency spectrograms

Year:  2019        PMID: 29897408     DOI: 10.1093/cercor/bhy136

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  24 in total

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2.  How Sensitive Are Conventional MEG Functional Connectivity Metrics With Sliding Windows to Detect Genuine Fluctuations in Dynamic Functional Connectivity?

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Journal:  Front Neurosci       Date:  2019-08-02       Impact factor: 4.677

Review 3.  Brain Functional Connectivity Through Phase Coupling of Neuronal Oscillations: A Perspective From Magnetoencephalography.

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Review 4.  The road ahead in clinical network neuroscience.

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6.  Dissociated neuronal phase- and amplitude-coupling patterns in the human brain.

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Journal:  Neuroimage       Date:  2020-01-11       Impact factor: 6.556

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Review 9.  Intrinsic connectome organization across temporal scales: New insights from cross-modal approaches.

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10.  Heritability of Magnetoencephalography Phenotypes Among Patients With Genetic Generalized Epilepsy and Their Siblings.

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