9.11: Key Takeaways and References
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Artoni, F., Delorme, A., & Makeig, S. (2018). Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage , 175 , 176–187. https://doi.org/10.1016/j.neuroimage.2018.03.016
Berger, H. (1929). Ueber das Elektrenkephalogramm des Menschen. Archives Fur Psychiatrie Nervenkrankheiten , 87 , 527–570.
Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: Standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics , 9 . https://doi.org/10.3389/fninf.2015.00016
Box, G. E. P. (1976). Science and Statistics. Journal of the American Statistical Association , 71 (356), 791–799. https://doi.org/10.1080/01621459.1976.10480949
Dimigen, O. (2020). Optimizing the ICA-based removal of ocular EEG artifacts from free viewing experiments. NeuroImage , 207 , 116117. https://doi.org/10.1016/j.neuroimage.2019.116117
Drisdelle, B. L., Aubin, S., & Jolicoeur, P. (2017). Dealing with ocular artifacts on lateralized ERPs in studies of visual-spatial attention and memory: ICA correction versus epoch rejection. Psychophysiology , 54 (1), 83–99. https://doi.org/10.1111/psyp.12675
Groppe, D. M., Makeig, S., & Kutas, M. (2009). Identifying reliable independent components via split-half comparisons. Neuroimage , 45 , 1199–1211. https://doi.org/10.1016/j.neuroimage.2008.12.038
Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique, Second Edition . MIT Press.
Näätänen, R., & Kreegipuu, K. (2012). The mismatch negativity (MMN). In S. J. Luck & E. S. Kappenman (Eds.), The Oxford Handbook of Event-Related Potential Components (pp. 143–157). Oxford University Press.