ArticleeLife2017
Multivariate cross-frequency coupling via generalized eigendecomposition.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Cortical responses to balance perturbations persist without active postural control.The Journal of physiology · 2026Article
- Time, space, memory and brain-body rhythms.Nature reviews. Neuroscience · 2026Review
- Multivariate sharp-wave ripples in schizophrenia during awake state.Psychiatry and clinical neurosciences · 2024Article
- Article
- Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 2024Article
- A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordings.bioRxiv : the preprint server for biology · 2024Article
- A recruitment through coherence theory of working memory.Progress in neurobiology · 2023Article
- Neurophysiological alterations in mice and humans carrying mutations in APP and PSEN1 genes.Alzheimer's research & therapy · 2023Article
- Midfrontal theta dynamics index the monitoring of postural stability.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Beyond rhythm - a framework for understanding the frequency spectrum of neural activity.Frontiers in systems neuroscience · 2023Article
- Advances in human intracranial electroencephalography research, guidelines and good practices.NeuroImage · 2022Review
- Multitaper estimates of phase-amplitude coupling.Journal of neural engineering · 2021Article
- The metastable brain associated with autistic-like traits of typically developing individuals.PLoS computational biology · 2021Article
- Multivariate Analysis of Bivariate Phase-Amplitude Coupling in EEG Data Using Tensor Robust PCA.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
- Beta2 Oscillations in Hippocampal-Cortical Circuits During Novelty Detection.Frontiers in systems neuroscience · 2021Article
- Multiple Midfrontal Thetas Revealed by Source Separation of Simultaneous MEG and EEG.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Article
- Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control.NeuroImage · 2020Article
- Frontal theta and posterior alpha in resting EEG: A critical examination of convergent and discriminant validity.Psychophysiology · 2020Article
- Predicting Grating Orientations With Cross-Frequency Coupling and Least Absolute Shrinkage and Selection Operator in V1 and V4 of Rhesus Monkeys.Frontiers in computational neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a new framework for analyzing cross-frequency coupling in multichannel electrophysiological recordings. The generalized eigendecomposition-based cross-frequency coupling framework (gedCFC) is inspired by source-separation algorithms combined with dynamics of mesoscopic neurophysiological processes. It is unaffected by factors that confound traditional CFC methods-such as non-stationarities, non-sinusoidality, and non-uniform phase angle distributions-attractive properties considering that brain activity is neither stationary nor perfectly sinusoidal. The gedCFC framework opens new opportunities for conceptualizing CFC as network interactions with diverse spatial/topographical distributions. Five specific methods within the gedCFC framework are detailed, these are validated in simulated data and applied in several empirical datasets. gedCFC accurately recovers physiologically plausible CFC patterns embedded in noise that causes traditional CFC methods to perform poorly. The paper also demonstrates that spike-field coherence in multichannel local field potential data can be analyzed using the gedCFC framework, which provides significant advantages over traditional spike-field coherence analyses. Null-hypothesis testing is also discussed.
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.