ArticleSensors (Basel, Switzerland)2020
Cross-Frequency Power-Power Coupling Analysis: A Useful Cross-Frequency Measure to Classify ICA-Decomposed EEG.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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Who cites it
16 citing papers in PubMed.
- A primary central source determines perturbation-evoked N1 amplitudes in younger adults.Journal of neurophysiology · 2026Article
- A Primary Central Source Determines Perturbation-Evoked N1 Amplitudes but not Latencies in Younger Adults.bioRxiv : the preprint server for biology · 2026Article
- Power-to-power cross-frequency coupling as a novel approach for temporal lobe seizure detection and analysis.Neuroscience informatics · 2025Article
- Gait speed-related changes in electrocortical activity in younger and older adults.Journal of neurophysiology · 2025Article
- Excellent test-retest reliability of perturbation-evoked cortical responses supports feasibility of the balance N1 as a clinical biomarker.Journal of neurophysiology · 2025Article
- The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network.Frontiers in neuroinformatics · 2025Article
- Mobile neuroimaging: What we have learned about the neural control of human walking, with an emphasis on EEG-based research.Neuroscience and biobehavioral reviews · 2024Review
- Exploring Electrocortical Signatures of Gait Adaptation: Differential Neural Dynamics in Slow and Fast Gait Adapters.eNeuro · 2024Article
- The detection of absence seizures using cross-frequency coupling analysis with a deep learning network.Research square · 2024Article
- Electrical brain activity during human walking with parametric variations in terrain unevenness and walking speed.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Article
- Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach.Medicina (Kaunas, Lithuania) · 2023Article
- Electrocortical activity correlated with locomotor adaptation during split-belt treadmill walking.The Journal of physiology · 2023Article
- Article
- Comparison of EEG Source Localization Using Simplified and Anatomically Accurate Head Models in Younger and Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Magneto-/Electro-encephalography (M/EEG) commonly uses (fast) Fourier transformation to compute power spectral density (PSD). However, the resulting PSD plot lacks temporal information, making interpretation sometimes equivocal. For example, consider two different PSDs: a central parietal EEG PSD with twin peaks at 10 Hz and 20 Hz and a central parietal PSD with twin peaks at 10 Hz and 50 Hz. We can assume the first PSD shows a mu rhythm and the second harmonic; however, the latter PSD likely shows an alpha peak and an independent line noise. Without prior knowledge, however, the PSD alone cannot distinguish between the two cases. To address this limitation of PSD, we propose using
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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.