ReviewFrontiers in neuroscience2019
Brain Functional Connectivity Through Phase Coupling of Neuronal Oscillations: A Perspective From Magnetoencephalography.
Review 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 41 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
41 citing papers in PubMed, 91 citations in OpenAlex.
- The Distinct Electrophysiological Mechanisms in the Cortico-Striatal Circuit of LID Rats.Biology · 2026Article
- Pulse waveform and current direction alter network-level TMS-induced functional connectivity: Evidence from TMS-EEG.NeuroImage · 2026Article
- Alcohol use disorder is associated with altered frontomedial phase-amplitude coupling strength during resting state.Neuroimage. Reports · 2026Article
- EEG emotion recognition via multilevel entropy analysis: The power of entropy of entropy on phase dynamics.PloS one · 2026Article
- Article
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human brain mapping · 2025Article
- Aberrant regional homogeneity in multiple frequency bands in patients with alcohol use disorder.Frontiers in psychiatry · 2025Article
- Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG.Human brain mapping · 2025Article
- Robustness of brain state identification in synthetic phase-coupled neurodynamics using Hidden Markov Models.Frontiers in systems neuroscience · 2025Article
- Dynamic Neural Network States During Social and Non-Social Cueing in Virtual Reality Working Memory Tasks: A Leading Eigenvector Dynamics Analysis Approach.Brain sciences · 2024Article
- EEG spectral attractors identify a geometric core of brain dynamics.Patterns (New York, N.Y.) · 2024Article
- EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life.Sensors (Basel, Switzerland) · 2024Article
- Exploring Motor Network Connectivity in State-Dependent Transcranial Magnetic Stimulation: A Proof-of-Concept Study.Biomedicines · 2024Article
- Detection of quadratic phase coupling by cross-bicoherence and spectral Granger causality in bifrequencies interactions.Scientific reports · 2024Article
- A bicoherence approach to analyze multi-dimensional cross-frequency coupling in EEG/MEG data.Scientific reports · 2024Article
- Article
- Overcoming treatment-resistant depression with machine-learning based tools: a study protocol combining EEG and clinical data to personalize glutamatergic and brain stimulation interventions (SelecTool Project).Frontiers in psychiatry · 2024Article
- Transcranial magneto-acoustic stimulation improves spatial memory and modulates hippocampal neural oscillations in a mouse model of Alzheimer's disease.Frontiers in neuroscience · 2024Article
- Targeting motor cortex high-excitability states defined by functional connectivity with real-time EEG-TMS.NeuroImage · 2023Article
- Identifying good practices for detecting inter-regional linear functional connectivity from EEG.NeuroImage · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetoencephalography has gained an increasing importance in systems neuroscience thanks to the possibility it offers of unraveling brain networks at time-scales relevant to behavior, i.e., frequencies in the 1-100 Hz range, with sufficient spatial resolution. In the first part of this review, we describe, in a unified mathematical framework, a large set of metrics used to estimate MEG functional connectivity at the same or at different frequencies. The different metrics are presented according to their characteristics: same-frequency or cross-frequency, univariate or multivariate, directed or undirected. We focus on phase coupling metrics given that phase coupling of neuronal oscillations is a putative mechanism for inter-areal communication, and that MEG is an ideal tool to non-invasively detect such coupling. In the second part of this review, we present examples of the use of specific phase methods on real MEG data in the context of resting state, visuospatial attention and working memory. Overall, the results of the studies provide evidence for frequency specific and/or cross-frequency brain circuits which partially overlap with brain networks as identified by hemodynamic-based imaging techniques, such as functional Magnetic Resonance (fMRI). Additionally, the relation of these functional brain circuits to anatomy and to behavior highlights the usefulness of MEG phase coupling in systems neuroscience studies. In conclusion, we believe that the field of MEG functional connectivity has made substantial steps forward in the recent years and is now ready for bringing the study of brain networks to a more mechanistic understanding.
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.