ArticlePloS one2014
A canonical circuit for generating phase-amplitude coupling.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
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- Emergence of multifrequency activity in a laminar neural mass model.PLoS computational biology · 2026Article
- High-frequency bursts facilitate fast communication for human spatial attention.Nature neuroscience · 2026Article
- Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks.iScience · 2024Article
- How to design optimal brain stimulation to modulate phase-amplitude coupling?Journal of neural engineering · 2024Article
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- Uncovering the organization of neural circuits with Generalized Phase Locking Analysis.PLoS computational biology · 2023Article
- Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit.PLoS computational biology · 2023Article
- Neuroprosthetics: from sensorimotor to cognitive disorders.Communications biology · 2023Review
- Computational Models in Electroencephalography.Brain topography · 2022Review
- Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging.Frontiers in neuroscience · 2022Review
- Cortical oscillatory dysrhythmias in visual snow syndrome: a magnetoencephalography study.Brain communications · 2022Article
- Cross-frequency and iso-frequency estimation of functional corticomuscular coupling after stroke.Cognitive neurodynamics · 2021Article
- Optimizing deep brain stimulation based on isostable amplitude in essential tremor patient models.Journal of neural engineering · 2021Article
- Role of joint language control during cross-language communication: evidence from cross-frequency coupling.Cognitive neurodynamics · 2021Article
- Voltage-independent GluN2A-type NMDA receptor CaCommunications biology · 2021Article
- Transcranial direct current stimulation influences bilingual language control mechanism: evidence from cross-frequency coupling.Cognitive neurodynamics · 2020Article
- Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model.Journal of mathematical neuroscience · 2020Article
- Models of communication and control for brain networks: distinctions, convergence, and future outlook.Network neuroscience (Cambridge, Mass.) · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
'Phase amplitude coupling' (PAC) in oscillatory neural activity describes a phenomenon whereby the amplitude of higher frequency activity is modulated by the phase of lower frequency activity. Such coupled oscillatory activity--also referred to as 'cross-frequency coupling' or 'nested rhythms'--has been shown to occur in a number of brain regions and at behaviorally relevant time points during cognitive tasks; this suggests functional relevance, but the circuit mechanisms of PAC generation remain unclear. In this paper we present a model of a canonical circuit for generating PAC activity, showing how interconnected excitatory and inhibitory neural populations can be periodically shifted in to and out of oscillatory firing patterns by afferent drive, hence generating higher frequency oscillations phase-locked to a lower frequency, oscillating input signal. Since many brain regions contain mutually connected excitatory-inhibitory populations receiving oscillatory input, the simplicity of the mechanism generating PAC in such networks may explain the ubiquity of PAC across diverse neural systems and behaviors. Analytic treatment of this circuit as a nonlinear dynamical system demonstrates how connection strengths and inputs to the populations can be varied in order to change the extent and nature of PAC activity, importantly which phase of the lower frequency rhythm the higher frequency activity is locked to. Consequently, this model can inform attempts to associate distinct types of PAC with different network topologies and physiologies in real data.
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