ArticleHuman brain mapping2022
Zapline-plus: A Zapline extension for automatic and adaptive removal of frequency-specific noise artifacts in M/EEG.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Higher cortical beta oscillatory power before balance perturbations is associated with worse balance in older adults with Parkinson's Disease, but not in age-matched older adults.bioRxiv : the preprint server for biology · 2026Article
- Electrophysiological Correlates of Encoding Indicate Altered Processing but Comparable Subsequent Memory Effects Across Virtual Reality and Desktop-Based Conditions.The European journal of neuroscience · 2026Article
- From Traditional Tasks to Hyperscanning: Exploratory Evidence for Selective Modulation of Sensorimotor Neurodynamics Using Time-Resolved Generalized Additive Model Analysis.The European journal of neuroscience · 2026Article
- Regional Disruption of Slow-Wave Sleep Homeostasis in Children with Sleep-Disordered Breathing.medRxiv : the preprint server for health sciences · 2026Article
- Gamma and beta power and the 1/f slope vary across a spectrum of depression severity.Translational psychiatry · 2026Article
- Sleep-Related Respiratory Disruption is Associated with Altered Spindle Morphology and Poorer Attention in Children.bioRxiv : the preprint server for biology · 2026Article
- Resting-State Theta and Alpha Oscillations in Amputation and Phantom Limb Pain: A Pre-Registered High-Density EEG Study.Brain topography · 2026Article
- Visual information modulates brain network characteristics during static balance following ACL reconstruction - A graph theoretical analysis.Scientific reports · 2026Article
- A primary central source determines perturbation-evoked N1 amplitudes in younger adults.Journal of neurophysiology · 2026Article
- Neural Oscillations Track Subjective and Pupillary Arousal During Naturalistic Movie Viewing.The European journal of neuroscience · 2026Article
- Cortical response to balance perturbation is more sensitive in modern dancers than nondancers during biomechanically similar balance recovery.Journal of neurophysiology · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Immersive NREM2 dreaming preserves subjective sleep depth against declining sleep pressure.PLoS biology · 2026Article
- Stroke and motor outcomes are associated with regional and age-specific changes in periodic and aperiodic cortical activity.Experimental physiology · 2026Article
- Neurocognitive Dynamics of Translating Information From a Spatial Map Into Action.Psychophysiology · 2026Article
- Cortical dynamics are differentially associated with decision-making strategies in human wayfinding: An EEG study.Cognitive, affective & behavioral neuroscience · 2026Article
- From Finger Taps to Footsteps: Gait as a Model for Investigating and Training Rhythmic Abilities.Annals of the New York Academy of Sciences · 2026Review
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Abstract
Removing power line noise and other frequency-specific artifacts from electrophysiological data without affecting neural signals remains a challenging task. Recently, an approach was introduced that combines spectral and spatial filtering to effectively remove line noise: Zapline. This algorithm, however, requires manual selection of the noise frequency and the number of spatial components to remove during spatial filtering. Moreover, it assumes that noise frequency and spatial topography are stable over time, which is often not warranted. To overcome these issues, we introduce Zapline-plus, which allows adaptive and automatic removal of frequency-specific noise artifacts from M/electroencephalography (EEG) and LFP data. To achieve this, our extension first segments the data into periods (chunks) in which the noise is spatially stable. Then, for each chunk, it searches for peaks in the power spectrum, and finally applies Zapline. The exact noise frequency around the found target frequency is also determined separately for every chunk to allow fluctuations of the peak noise frequency over time. The number of to-be-removed components by Zapline is automatically determined using an outlier detection algorithm. Finally, the frequency spectrum after cleaning is analyzed for suboptimal cleaning, and parameters are adapted accordingly if necessary before re-running the process. The software creates a detailed plot for monitoring the cleaning. We highlight the efficacy of the different features of our algorithm by applying it to four openly available data sets, two EEG sets containing both stationary and mobile task conditions, and two magnetoencephalography sets containing strong line noise.
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