ArticlePsychophysiology2024
Optimal filters for ERP research II: Recommended settings for seven common ERP components.
Article in Psychophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Variability in Preprocessing and Analysis of the Error-Related Negativity in Adult Response-Conflict Studies: A Systematic Review.Psychophysiology · 2026Pooled it
- Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration.Psychophysiology · 2025Pooled it
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Temporal Dynamics of Sensitivity to Second-Order Facial Relations: Evidence from a Rapid ERP Adaptation Paradigm.Behavioral sciences (Basel, Switzerland) · 2026Article
- Visual P300 and Risk for Psychosis Onset in Youth at Clinical High Risk.Biological psychiatry · 2026Article
- Self-face recognition under self-implicating threat: preserved self-prioritization and recalibrated control dynamics.Cognitive research: principles and implications · 2026Article
- Evaluating the effects of regularization and cross-validation parameters on the performance of SVM-based decoding of EEG data.bioRxiv : the preprint server for biology · 2026Article
- Frequency-tagged EEG reveals category-selective responses to face race.Social cognitive and affective neuroscience · 2026Article
- Obesity and Insulin Resistance Alter Neural Processing of Unpleasant, but Not Pleasant, Visual Stimuli in Young Adults.Brain sciences · 2025Article
- Event-related potential responses of ex-combatants and war victims differ for bias stimuli.Scientific reports · 2025Article
- Neural evidence for a bilingual advantage in conflict monitoring among Dai bilinguals.Scientific reports · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Cortical emotional reactivity, caregiver-reported emotional control, and stuttering frequency in young children.Journal of fluency disorders · 2025Article
- Electroencephalographic (EEG) analysis of hue perception differences between art and non-art majors: insights from the P2 and P3 components.BMC psychology · 2025Article
- Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.NeuroImage · 2025Article
- How EEG preprocessing shapes decoding performance.Communications biology · 2025Article
- Active Inference in Music Perception: Motor Engagement to Syncopation Modulates Rhythmic Prediction Error.Psychophysiology · 2025Article
- Assessing the impact of artifact correction and artifact rejection on the performance of SVM-based decoding of EEG signals.bioRxiv : the preprint server for biology · 2025Article
- The Practical Implications of Re-Referencing in ERP Studies: The Case of N400 in the Picture-Word Verification Task.Diagnostics (Basel, Switzerland) · 2025Article
- Enhanced Performance Monitoring as a Transdiagnostic Risk Marker of the Anxiety and Obsessive-Compulsive Spectrum: The Role of Disorder Category, Clinical Status, Family Risk, and Anxiety Dimensions.Depression and anxiety · 2025Article
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Abstract
In research with event-related potentials (ERPs), aggressive filters can substantially improve the signal-to-noise ratio and maximize statistical power, but they can also produce significant waveform distortion. Although this tradeoff has been well documented, the field lacks recommendations for filter cutoffs that quantitatively address both of these competing considerations. To fill this gap, we quantified the effects of a broad range of low-pass filter and high-pass filter cutoffs for seven common ERP components (P3b, N400, N170, N2pc, mismatch negativity, error-related negativity, and lateralized readiness potential) recorded from a set of neurotypical young adults. We also examined four common scoring methods (mean amplitude, peak amplitude, peak latency, and 50% area latency). For each combination of component and scoring methods, we quantified the effects of filtering on data quality (noise level and signal-to-noise ratio) and waveform distortion. This led to recommendations for optimal low-pass and high-pass filter cutoffs. We repeated the analyses after adding artificial noise to provide recommendations for data sets with moderately greater noise levels. For researchers who are analyzing data with similar ERP components, noise levels, and participant populations, using the recommended filter settings should lead to improved data quality and statistical power without creating problematic waveform distortion.
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