ArticleScientific reports2018
Identifying Phase-Amplitude Coupling in Cyclic Alternating Pattern using Masking Signals.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Task-state P300 and functional brain network abnormalities in adolescent major depressive disorder: a Stroop paradigm study.Frontiers in psychiatry · 2026Article
- A novel nonlinear bispectrum analysis for dynamical complex oscillations.Cognitive neurodynamics · 2024Article
- Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Frequency Nesting Interactions in the Subthalamic Nucleus Correlate With the Step Phases for Parkinson's Disease.Frontiers in physiology · 2022Article
- Waveform changes with the evolution of beta bursts in the human subthalamic nucleus.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Article
- Modulation in phase and frequency of neural oscillations during epileptiform activity induced by neonatal Zika virus infection in mice.Scientific reports · 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
- A Revised Hilbert⁻Huang Transform and Its Application to Fault Diagnosis in a Rotor System.Sensors (Basel, Switzerland) · 2018Article
- Auditory cues modulate the short timescale dynamics of STN activity during stepping in Parkinson's disease.Brain stimulationArticle
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2 authors.
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Abstract
Judiciously classifying phase-A subtypes in cyclic alternating pattern (CAP) is critical for investigating sleep dynamics. Phase-amplitude coupling (PAC), one of the representative forms of neural rhythmic interaction, is defined as the amplitude of high-frequency activities modulated by the phase of low-frequency oscillations. To examine PACs under more or less synchronized conditions, we propose a nonlinear approach, named the masking phase-amplitude coupling (MPAC), to quantify physiological interactions between high (α/lowβ) and low (δ) frequency bands. The results reveal that the coupling intensity is generally the highest in subtype A1 and lowest in A3. MPACs among various physiological conditions/disorders (p < 0.0001) and sleep stages (p < 0.0001 except S4) are tested. MPACs are found significantly stronger in light sleep than deep sleep (p < 0.0001). Physiological conditions/disorders show similar order in MPACs. Phase-amplitude dependence between δ and α/lowβ oscillations are examined as well. δ phase tent to phase-locked to α/lowβ amplitude in subtype A1 more than the rest. These results suggest that an elevated δ-α/lowβ MPACs can reflect some synchronization in CAP. Therefore, MPAC can be a potential tool to investigate neural interactions between different time scales, and δ-α/lowβ MPAC can serve as a feasible biomarker for sleep microstructure.
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