ArticleSensors (Basel, Switzerland)2022
Characterizing and Removing Artifacts Using Dual-Layer EEG during Table Tennis.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration.Psychophysiology · 2025Pooled it
- Suppressing Non-Stationary Motion Artefacts in Mobile EEG Using Generalized Eigenvalue Decomposition.Sensors (Basel, Switzerland) · 2026Article
- Assessment of the Psycho-Emotional State Induced by Open-Skill Sport Activity: An Electroencephalography-Based Study.Sensors (Basel, Switzerland) · 2026Article
- Mobility Function and Aperiodic Electrocortical Activity in Younger and Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Dual-sided EEG electrode signals have varying correlations that depend on movement characteristics.Scientific reports · 2025Article
- EEG-cleanse: an automated pipeline for cleaning electroencephalography recordings during full-body movement.MethodsX · 2025Article
- Age differences in electrocortical dynamics during uneven terrain walking.bioRxiv : the preprint server for biology · 2025Article
- Gait speed-related changes in electrocortical activity in younger and older adults.Journal of neurophysiology · 2025Article
- Exploring Relevant Features for EEG-Based Investigation of Sound Perception in Naturalistic Soundscapes.eNeuro · 2025Article
- Age differences in electrocortical dynamics during uneven terrain walking.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- An Analytical Approach for Naturalistic Cooperative and Competitive EEG-Hyperscanning Data: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2024Article
- Dual-layer electroencephalography data during real-world table tennis.Data in brief · 2024Article
- Mobile EEG for the study of cognitive-motor interference during swimming?Frontiers in human neuroscience · 2024Article
- Electrical brain activity during human walking with parametric variations in terrain unevenness and walking speed.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Non-invasive brain imaging to advance the understanding of human balance.Current opinion in biomedical engineering · 2023Article
- A table tennis serve versus rally hit elicits differential hemispheric electrocortical power fluctuations.Journal of neurophysiology · 2023Article
- iCanClean Removes Motion, Muscle, Eye, and Line-Noise Artifacts from Phantom EEG.Sensors (Basel, Switzerland) · 2023Article
- Investigating and acquiring motor expertise using virtual reality.Journal of neurophysiology · 2023Review
- The Use of Neurofeedback in Sports Training: Systematic Review.Brain sciences · 2023Review
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Researchers can improve the ecological validity of brain research by studying humans moving in real-world settings. Recent work shows that dual-layer EEG can improve the fidelity of electrocortical recordings during gait, but it is unclear whether these positive results extrapolate to non-locomotor paradigms. For our study, we recorded brain activity with dual-layer EEG while participants played table tennis, a whole-body, responsive sport that could help investigate visuomotor feedback, object interception, and performance monitoring. We characterized artifacts with time-frequency analyses and correlated scalp and reference noise data to determine how well different sensors captured artifacts. As expected, individual scalp channels correlated more with noise-matched channel time series than with head and body acceleration. We then compared artifact removal methods with and without the use of the dual-layer noise electrodes. Independent Component Analysis separated channels into components, and we counted the number of high-quality brain components based on the fit of a dipole model and using an automated labeling algorithm. We found that using noise electrodes for data processing provided cleaner brain components. These results advance technological approaches for recording high fidelity brain dynamics in human behaviors requiring whole body movement, which will be useful for brain science research.
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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.