ArticlePloS one2017
A neural mass model of cross frequency coupling.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Emergence of multifrequency activity in a laminar neural mass model.PLoS computational biology · 2026Article
- Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.PLoS computational biology · 2025Article
- Theta-gamma coupling: nonlinearity as a universal cross-frequency coupling mechanism.Frontiers in behavioral neuroscience · 2025Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.Communications biology · 2024Article
- Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics.bioRxiv : the preprint server for biology · 2024Article
- EEG generation mechanism of lower limb active movement intention and its virtual reality induction enhancement: a preliminary study.Frontiers in neuroscience · 2023Article
- Chaotic and stochastic dynamics of epileptiform-like activities in sclerotic hippocampus resected from patients with pharmacoresistant epilepsy.PLoS computational biology · 2022Article
- Adaptive rewiring in nonuniform coupled oscillators.Network neuroscience (Cambridge, Mass.) · 2022Article
- Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models.Frontiers in computational neuroscience · 2020Article
- Article
- Cross-Frequency Coupling Based Neuromodulation for Treating Neurological Disorders.Frontiers in neuroscience · 2019Article
- Non-linear auto-regressive models for cross-frequency coupling in neural time series.PLoS computational biology · 2017Article
- High-frequency oscillations and sleep spindles in epilepsy: from mechanisms to modeling.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrophysiological signals of cortical activity show a range of possible frequency and amplitude modulations, both within and across regions, collectively known as cross-frequency coupling. To investigate whether these modulations could be considered as manifestations of the same underlying mechanism, we developed a neural mass model. The model provides five out of the theoretically proposed six different coupling types. Within model components, slow and fast activity engage in phase-frequency coupling in conditions of low ambient noise level and with high noise level engage in phase-amplitude coupling. Between model components, these couplings can be coordinated via slow activity, giving rise to more complex modulations. The model, thus, provides a coherent account of cross-frequency coupling, both within and between components, with which regional and cross-regional frequency and amplitude modulations could be addressed.
Indexed as
Identifiers
What OpenQuestion holds
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.