ArticleNeuroImage2019
Measuring transient phase-amplitude coupling using local mutual information.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Boosting hemianopia recovery: the power of interareal cross-frequency brain stimulation.Brain : a journal of neurology · 2025Trial
- Delta gamma oscillatory interactions support visuomotor processing in the lateral frontal cortex of macaque monkeys.Scientific reports · 2026Article
- The Instantaneous Effect and Its Mechanism of Transcranial Direct Current Stimulation on Working Memory Based on Delta and Gamma Band Electroencephalography Characteristics.Brain sciences · 2025Article
- Event-related dynamic phase-amplitude coupling analysis reveals facial emotional processing deficits in patients with major depressive disorder: a cross-sectional study.BMC psychiatry · 2025Article
- Article
- A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings.bioRxiv : the preprint server for biology · 2024Article
- Gait-related beta-gamma phase amplitude coupling in the subthalamic nucleus of parkinsonian patients.Scientific reports · 2024Article
- Events in context-The HED framework for the study of brain, experience and behavior.Frontiers in neuroinformatics · 2024Article
- A mutual information measure of phase-amplitude coupling using gamma generalized linear models.Frontiers in computational neuroscience · 2024Article
- Reductions in regional theta power and fronto-parietal theta-gamma phase-amplitude coupling during gaze processing in bipolar disorder.Psychiatry research. Neuroimaging · 2023Article
- Effect of low-intensity transcranial ultrasound stimulation on theta and gamma oscillations in the mouse hippocampal CA1.Frontiers in psychiatry · 2023Article
- A Fast and Efficient Ensemble Transfer Entropy and Applications in Neural Signals.Entropy (Basel, Switzerland) · 2022Article
- Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation.Experimental neurology · 2022Review
- Anterior-Posterior Hippocampal Dynamics Support Working Memory Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Multitaper estimates of phase-amplitude coupling.Journal of neural engineering · 2021Article
- Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy.Entropy (Basel, Switzerland) · 2021Article
- Complexity of Body Movements during Sleep in Children with Autism Spectrum Disorder.Entropy (Basel, Switzerland) · 2021Article
- Neural Oscillatory Abnormalities During Gaze Processing in Schizophrenia: Evidence of Reduced Theta Phase Consistency and Inter-areal Theta-Gamma Coupling.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
- Revealing the Dynamic Nature of Amplitude Modulated Neural Entrainment With Holo-Hilbert Spectral Analysis.Frontiers in neuroscience · 2021Article
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6 authors.
Funding
Abstract
Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges interact and transiently couple. A particular form of CFC, phase-amplitude coupling (PAC), has raised interest given the growing amount of evidence of its possible role in healthy and pathological brain information processing. Although several methods have been proposed for PAC estimation, only a few have addressed the estimation of the temporal evolution of PAC, and these typically require a large number of experimental trials to return a reliable estimate. Here we explore the use of mutual information to estimate a PAC measure (MIPAC) in both continuous and event-related multi-trial data. To validate these two applications of the proposed method, we first apply it to a set of simulated phase-amplitude modulated signals and show that MIPAC can successfully recover the temporal dynamics of the simulated coupling in either continuous or multi-trial data. Finally, to explore the use of MIPAC to analyze data from human event-related paradigms, we apply it to an actual event-related human electrocorticographic (ECoG) data set that exhibits strong PAC, demonstrating that the MIPAC estimator can be used to successfully characterize amplitude-modulation dynamics in electrophysiological data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.