ReviewBioMed research international2015
Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models.
Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Effects of pharmacological modulation of cortical excitability on resting-state EEG PAC in humans.Scientific reports · 2026Article
- Impact of ischemic lesion on sleep related connectivity in the sensorimotor cortex.Frontiers in neuroscience · 2025Article
- Feasibility of EEG Phase-Amplitude Coupling to Stratify Encephalopathy Severity in Neonatal HIE Using Short Time Window.Brain sciences · 2022Article
- EEG phase-amplitude coupling to stratify encephalopathy severity in the developing brain.Computer methods and programs in biomedicine · 2022Article
- Amygdala Low-Frequency Stimulation Reduces Pathological Phase-Amplitude Coupling in the Pilocarpine Model of Epilepsy.Brain sciences · 2020Article
- The Strength of Alpha-Beta Oscillatory Coupling Predicts Motor Timing Precision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Phase-Amplitude Coupling of Neural Oscillations Can Be Effectively Probed with Concurrent TMS-EEG.Neural plasticity · 2019Article
- Frontal delta-beta cross-frequency coupling in high and low social anxiety: An index of stress regulation?Cognitive, affective & behavioral neuroscience · 2018Article
- Persistent aberrant cortical phase-amplitude coupling following seizure treatment in absence epilepsy models.The Journal of physiology · 2017Article
- Topology, Cross-Frequency, and Same-Frequency Band Interactions Shape the Generation of Phase-Amplitude Coupling in a Neural Mass Model of a Cortical Column.PLoS computational biology · 2016Article
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1 author.
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Abstract
Phase-amplitude coupling (PAC), the phenomenon where the amplitude of a high frequency oscillation is modulated by the phase of a lower frequency oscillation, is attracting an increasing interest in the neuroscience community due to its potential relevance for understanding healthy and pathological information processing in the brain. PAC is a diverse phenomenon, having been experimentally detected in at least ten combinations of rhythms: delta-theta, delta-alpha, delta-beta, delta-gamma, theta-alpha, theta-beta, theta-gamma, alpha-beta, alpha-gamma, and beta-gamma. However, a complete understanding of the biophysical mechanisms generating this diversity is lacking. Here we review computational models of PAC generation that range from detailed models of neuronal networks, where each cell is described by Hodgkin-Huxley-type equations, to neural mass models (NMMs) where only the average activities of neuronal populations are considered. We argue that NMMs are an appropriate mathematical framework (due to the small number of parameters and variables involved and the richness of the dynamics they can generate) to study the PAC phenomenon.
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