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Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration
Nadine S J Jacobsen1, Daniel Kristanto2, Suong Welp1
1Neuropsychology Lab, Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Psychophysiology
|December 19, 2024
Summary
Preprocessing choices for mobile electroencephalography (EEG) significantly impact results. This study highlights the need for standardized reporting in mobile EEG research to ensure reproducibility and understanding of preprocessing effects on event-related potentials (ERPs).
Area of Science:
- Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- Electroencephalography (EEG) data preprocessing is crucial for accurate analysis.
- Mobile EEG presents unique challenges due to motion artifacts, necessitating complex preprocessing.
- The P3 event-related potential (ERP) is a key cognitive marker often studied during mobile tasks.
Purpose of the Study:
- To systematically review and analyze preprocessing choices in studies of the P3 ERP during walking and standing.
- To identify commonalities, differences, and reporting gaps in mobile EEG preprocessing strategies.
- To advocate for standardized reporting and provide tools for exploring the preprocessing landscape.
Main Methods:
- Systematic literature review of 258 studies on P3 ERP during walking, identifying 27 eligible studies.
- Two independent coders extracted and analyzed reported preprocessing steps.
- Development of an interactive visualization tool (Shiny app) to explore preprocessing methods.
Main Results:
- All 27 studies employed unique preprocessing strategies for mobile EEG.
- Widespread use of offline filters, but limited line noise correction (3/27 studies).
- Significant manual processing (59%) and incomplete parameter reporting (56%) were common.
Conclusions:
- Mobile EEG preprocessing is highly variable, with significant reporting inconsistencies.
- Standardized reporting of preprocessing steps is essential for reproducibility in mobile EEG research.
- Interactive tools can aid researchers in navigating and understanding the impact of preprocessing choices.
