ArticleFrontiers in neuroscience2024
Comparison of dry and wet electroencephalography for the assessment of cognitive evoked potentials and sensor-level connectivity.
Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Toward actionable biomarkers in psychiatry: a collaborative roadmap for precision clinical trials. An ACNP position paper.NPP - digital psychiatry and neuroscience · 2026Article
- Smart Wearable EEG Devices: A Review of Lightweight, Multi-Sensor Systems for Sleep and Everyday Neurophysiology.Biosensors · 2026Review
- Article
- Deception Detection from Five-Channel Wearable EEG on LieWaves: A Reproducible Baseline for Subject-Dependent and Subject-Independent Evaluation.Sensors (Basel, Switzerland) · 2026Article
- Validation of Neuphony 8-channel EEG flex cap: a comparative study with BioSemi 64-channel EEG system.Frontiers in neuroscience · 2025Article
- Quantitative assessment of signal quality and usability of EEG and EMG recordings with PEDOT:PSS-coated microneedle electrodes.Frontiers in neuroscience · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: Multipin dry electrodes (dry EEG) provide faster and more convenient application than wet EEG, enabling extensive data collection. This study aims to compare task-related time-frequency representations and resting-state connectivity between wet and dry EEG methods to establish a foundation for using dry EEG in investigations of brain activity in neuropsychiatric disorders. Methods: In this counterbalanced cross-over study, we acquired wet and dry EEG in 33 healthy participants [ Results: MMN was detectable with both systems in time and frequency domains, but dry EEG underestimated MMN mean amplitude, peak latency, and theta power compared to wet EEG. Resting-state connectivity was reliably estimated with dry EEG using MST diameter in all except the very low frequencies (0.5-4 Hz). PLI showed larger differences between wet and dry EEG in all frequencies except theta. Conclusion: Dry EEG reliably detected MMN and resting-state connectivity despite a lower signal-to-noise ratio. This study provides the methodological basis for using dry EEG in studies investigating the neural processes underlying psychiatric and neurological conditions.
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Registered trials
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