All ambiguous positions were removed for each sequence pair.
Time courses of activation were determined from these active voxels, and linear drifts were removed for each individual voxel.
With the jackknife method, N grand average waveforms are computed with N-1 participants (a different participant is removed for each waveform).
Approximately 2 5% of the datapoints were removed for each of the psychophysiological measures: GSR, heart rate, respiration, temperature, and BVP amplitude.
To correct for this problem, outliers beyond four standard deviations from the mean of each rating category (WE-neutral, WE-LP, WE-HP, and WE-chills) were removed for each excerpt and for each participant individually.
The candidates were automatically generated by modelMaGe, to which we only provided the master model (Figure 1), and the directives specifying which components should be removed for each candidate model and which kinetics should be used.
Details of which data points were removed for each analysis are indicated in Additional File 1.
The adhesive marks were removed for each set and the order of rater was randomized.
These reads were then filtered, and defective reads were removed for each species.
All ambiguous positions were removed for each sequence pair, for a total of 339 positions in the final dataset.
