2.13: Key Takeaways and References

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Key Takeaways

Several EEG preprocessing steps are necessary prior to creating the averaged ERPs for a given participant (and this chapter did not even cover all of them).
After some of these preprocessing steps, it is important to look at the EventList information and the EEG waveforms to verify that there are no problems or errors.
You should also look at the data quality metrics that are computed during the averaging process to determine if there are problematic bins or channels (or a more general problem with the data quality for a given participant).
In this experiment, the data analyses focus on the target words to see if the response to the target depends on whether the target word was related or unrelated to the preceding prime word. However, owing to noise, there were some differences in the ERP elicited by the prime words that were followed by either related or unrelated targets. Does this make it difficult to interpret the ERPs elicited by the target words? How does baseline correction help us avoid problems of this sort?

References

Kappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A. X., & Luck, S. J. (2021). ERP CORE: An Open Resource for Human Event-Related Potential Research. NeuroImage, 225, 117465. https://doi.org/10.1016/j.neuroimage.2020.117465

Kutas, M. (1997). Views on how the electrical activity that the brain generates reflects the functions of different language structures. Psychophysiology, 34, 383–398.

Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique, Second Edition. MIT Press.

Luck, S. J., Stewart, A. X., Simmons, A. M., & Rhemtulla, M. (2021). Standardized Measurement Error: A Universal Measure of Data Quality for Averaged Event-Related Potentials. Psychophysiology. https://doi.org/10.1111/psyp.13793

Swaab, T. Y., Ledoux, K., Camblin, C. C., & Boudewyn, M. (2012). Language-related ERP components. In S. J. Luck & E. S. Kappenman (Eds.), The Oxford Handbook of Event-Related Potential Components (pp. 397–439). Oxford University Press.