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. 2020 Jul 28;9:e55092. doi: 10.7554/eLife.55092

Author response image 1. Uni- and multivariate discrimination of wakefulness and REM sleep using the spectral slope and slow oscillation power.

Author response image 1.

Single subject example at scalp EEG electrode Fz. a, While both 1/f slope (z-scored; left panel) and slow oscillation power (SO, < 1.25 Hz; z-scored; right panel) are able to differentiate wakefulness (red) from REM sleep (green; black: mean ± SEM) in a univariate comparison, the 1/f slope provides most of the discriminative power in a multivariate space as seen in panel b (SO power vs. 1/f slope; both z-scored). Note that the states (red – wakefulness; green – REM sleep) are clearly discernible based on the first feature plotted on the x-axis (the spectral slope) while taking SO power (on the y-axis) into account, does not contribute independent information.