ArticleFrontiers in neuroscience2019
Quantification of Phase-Amplitude Coupling in Neuronal Oscillations: Comparison of Phase-Locking Value, Mean Vector Length, Modulation Index, and Generalized-Linear-Modeling-Cross-Frequency-Coupling.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
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Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
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- Effects of pharmacological modulation of cortical excitability on resting-state EEG PAC in humans.Scientific reports · 2026Article
- Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling.Epilepsia open · 2026Article
- Acute effects of upper-limb blood flow restriction training on dual-task postural control and physiological correlates in older adults.Journal of neuroengineering and rehabilitation · 2026Article
- GluK1 kainate receptors in parvalbumin interneurons modulate cortico-hippocampal network dynamics during social behavior.Translational psychiatry · 2026Article
- SleepPACNet: new convolutional neural network considering phase-amplitude coupling for automatic sleep stage classification using single-channel electroencephalogram.Scientific reports · 2026Article
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- Sleep-dependent infraslow rhythms are evolutionarily conserved across reptiles and mammals.Nature neuroscience · 2026Article
- Respiration Shapes the Neural Dynamics of Successful Remembering in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Prefrontal Hierarchical Control of Corticomuscular Coherence in Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Decoding visual object recognition from EEG signals.PloS one · 2026Article
- Predicting spiking activity from scalp EEG.Journal of neural engineering · 2025Article
- Thermodynamic Biomarkers of Neuroinflammation: Nanothermometry, Energy-Stress Dynamics, and Predictive Entropy in Glial-Vascular Networks.International journal of molecular sciences · 2025Review
- Sensorimotor Theta Oscillations Coordinate Speech Movements.bioRxiv : the preprint server for biology · 2025Article
- Abnormal phase-amplitude coupling in patients with first-episode schizophrenia during the auditory steady-state response and resting states.Medical & biological engineering & computing · 2025Article
- Impaired theta and low-gamma directed information flow in the hippocampal-prefrontal circuit underlies working memory deficits in APP/PS1 mice.Behavioral and brain functions : BBF · 2025Article
28 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
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Abstract
Phase-amplitude coupling is a promising construct to study cognitive processes in electroencephalography (EEG) and magnetencephalography (MEG). Due to the novelty of the concept, various measures are used in the literature to calculate phase-amplitude coupling. Here, performance of the three most widely used phase-amplitude coupling measures - phase-locking value (PLV), mean vector length (MVL), and modulation index (MI) - and of the generalized linear modeling cross-frequency coupling (GLM-CFC) method is thoroughly compared with the help of simulated data. We combine advantages of previous reviews and use a realistic data simulation, examine moderators and provide inferential statistics for the comparison of all four indices of phase-amplitude coupling. Our analyses show that all four indices successfully differentiate coupling strength and coupling width when monophasic coupling is present. While the MVL was most sensitive to modulations in coupling strengths and width, only the MI and GLM-CFC can detect biphasic coupling. Coupling values of all four indices were influenced by moderators including data length, signal-to-noise-ratio, and sampling rate when approaching Nyquist frequencies. The MI was most robust against confounding influences of these moderators. Based on our analyses, we recommend the MI for noisy and short data epochs with unknown forms of coupling. For high quality and long data epochs with monophasic coupling and a high signal-to-noise ratio, the use of the MVL is recommended. Ideally, both indices are reported simultaneously for one data set.
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