ArticleScientific reports2019
Time-Frequency Based Phase-Amplitude Coupling Measure For Neuronal Oscillations.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- The Phase-Amplitude Coupling Induced by Drug Cues in Individuals With Methamphetamine Use Disorder During Withdrawal.Brain and behavior · 2026Article
- A division of labor in perception-action integration via hierarchical alpha-beta to beta-gamma coupling and local catecholaminergic control.Communications biology · 2026Article
- Decoding visual object recognition from EEG signals.PloS one · 2026Article
- The Rhythmic Embodied Perception Framework of breath, brain, and perception.Neuroscience of consciousness · 2026Review
- Dataset of chronic intracranial EEG of epilepsy patients via responsive neurostimulation system.Frontiers in neuroscience · 2026Article
- Resting-state EEG gamma power predicts immediate and delayed recall in healthy adults.Cognitive neurodynamics · 2025Article
- Novel neurotherapeutic targets for substance use disorders: Neuroplasticity, neuroinflammation, gasotransmitters and non-canonical organ systems.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- Resting-state EEG and MEG gamma frequencies in schizophrenia: a systematic review and exploratory power-spectrum metanalysis.Schizophrenia (Heidelberg, Germany) · 2025Review
- Inferring directed spectral information flow between mixed-frequency time series.Research square · 2025Article
- Theta-gamma coupling: nonlinearity as a universal cross-frequency coupling mechanism.Frontiers in behavioral neuroscience · 2025Article
- Neural decoding and feature selection methods for closed-loop control of avoidance behavior.Journal of neural engineering · 2024Article
- AML-DECODER: Advanced Machine Learning for HD-sEMG Signal Classification-Decoding Lateral Epicondylitis in Forearm Muscles.Diagnostics (Basel, Switzerland) · 2024Article
- Method for Synthetic Generation of LFP Data for Testing of Feature Extraction AlgorithmsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Neural Decoding and Feature Selection Techniques for Closed-Loop Control of Defensive Behavior.bioRxiv : the preprint server for biology · 2024Article
- EEG band power and phase-amplitude coupling in patients with Dravet syndrome.Annals of the Child Neurology Society · 2024Article
- Gait-related beta-gamma phase amplitude coupling in the subthalamic nucleus of parkinsonian patients.Scientific reports · 2024Article
- Biomimetic Deep Learning Networks With Applications to Epileptic Spasms and Seizure Prediction.IEEE transactions on bio-medical engineering · 2024Article
- Errors elicit frontoparietal theta-gamma coupling that is modulated by endogenous estradiol levels.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2024Article
- Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia.Frontiers in human neuroscience · 2024Article
- A mutual information measure of phase-amplitude coupling using gamma generalized linear models.Frontiers in computational neuroscience · 2024Article
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2 authors.
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Abstract
Oscillatory activity in the brain has been associated with a wide variety of cognitive processes including decision making, feedback processing, and working memory. The high temporal resolution provided by electroencephalography (EEG) enables the study of variation of oscillatory power and coupling across time. Various forms of neural synchrony across frequency bands have been suggested as the mechanism underlying neural binding. Recently, a considerable amount of work has focused on phase-amplitude coupling (PAC)- a form of cross-frequency coupling where the amplitude of a high frequency signal is modulated by the phase of low frequency oscillations. The existing methods for assessing PAC have some limitations including limited frequency resolution and sensitivity to noise, data length and sampling rate due to the inherent dependence on bandpass filtering. In this paper, we propose a new time-frequency based PAC (t-f PAC) measure that can address these issues. The proposed method relies on a complex time-frequency distribution, known as the Reduced Interference Distribution (RID)-Rihaczek distribution, to estimate both the phase and the envelope of low and high frequency oscillations, respectively. As such, it does not rely on bandpass filtering and possesses some of the desirable properties of time-frequency distributions such as high frequency resolution. The proposed technique is first evaluated for simulated data and then applied to an EEG speeded reaction task dataset. The results illustrate that the proposed time-frequency based PAC is more robust to varying signal parameters and provides a more accurate measure of coupling strength.
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