Abstract
Methods are described for non-parametric significance testing from event-related encephalographic data, using randomization tests. These methods may be applied in both signal space and source space. The methods include within-subject between-condition comparisons, paired and unpaired comparisons, and within-group and between-group comparisons. Test statistics are also derived for comparing the spatial or temporal response patterns, independent of specific changes at individual locations. Novel methods for testing peak-height significance, and also for making map-wide comparisons, are described. These methods have been validated using simulated data.
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Greenblatt, R.E., Pflieger, M.E. Randomization-Based Hypothesis Testing from Event-Related Data. Brain Topogr 16, 225–232 (2004). https://doi.org/10.1023/B:BRAT.0000032856.48286.18
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DOI: https://doi.org/10.1023/B:BRAT.0000032856.48286.18