A statistical framework to assess cross-frequency coupling while accounting for confounding analysis effects

Cross frequency coupling (CFC) is emerging as a fundamental feature of brain activity, correlated with brain function and dysfunction. Many different types of CFC have been identified through application of numerous data analysis methods, each developed to characterize a specific CFC type. Choosing...

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Bibliographic Details
Published in:eLife 2019-10, Vol.8
Main Authors: Nadalin, Jessica K, Martinet, Louis-Emmanuel, Blackwood, Ethan B, Lo, Meng-Chen, Widge, Alik S, Cash, Sydney S, Eden, Uri T, Kramer, Mark A
Format: Article
Language:English
Subjects:
Animals
Biostatistics - methods
Brain - physiology
Brain research
brain rhythms
Brain Waves
computational neuroscience
Computer Simulation
cross-frequency coupling
Electrical stimuli
Electroencephalography
generalized linear models
Humans
Models, Neurological
neural data analysis
Neurology
Neuroscience
Tools and Resources
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Summary:Cross frequency coupling (CFC) is emerging as a fundamental feature of brain activity, correlated with brain function and dysfunction. Many different types of CFC have been identified through application of numerous data analysis methods, each developed to characterize a specific CFC type. Choosing an inappropriate method weakens statistical power and introduces opportunities for confounding effects. To address this, we propose a statistical modeling framework to estimate high frequency amplitude as a function of both the low frequency amplitude and low frequency phase; the result is a measure of phase-amplitude coupling that accounts for changes in the low frequency amplitude. We show in simulations that the proposed method successfully detects CFC between the low frequency phase or amplitude and the high frequency amplitude, and outperforms an existing method in biologically-motivated examples. Applying the method to in vivo data, we illustrate examples of CFC during a seizure and in response to electrical stimuli.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.44287