A probabilistic model for the ultradian timing of REM sleep in mice
Fig 6
Effects of sleep history on REM episode duration.
(A) (Left) Box plot comparing the duration of REM sleep (REMpost) following sequential cycles for different values of REMpre. Red line, linear regression (slope = -0.22, R2 = 0.010, p = 0.0020). (Right) Box plot comparing REMpost following single cycles for different values of REMpre. Red line, linear regression (slope = -0.091, R2 = 0.0089, p = 5.07e-09). (B) Box plot comparing REMpost following single cycles with different values of |N|. Red line, linear regression (slope = 0.0041, R2 = 9.83e-04, p = 0.052). (C) Box plots comparing REMpost dependent on the CDF value at REM onset for single cycles. The left plot includes all REMpre values; the remaining plots show the correlation for increasing ranges of REMpre. Dashed lines, linear regression (All: slope = 22.82, R2 = 0.013, p = 1.01e-12; [7.5,60): slope = 8.58, R2 = 0.0013, p = 0.090; [60,120): slope = 29.42, R2 = 0.024, p = 1.57e-07; [120,180): slope = 29.64, R2 = 0.039, p = 3.12e-06; [180,240): slope = 43.28, R2 = 0.077, p = 0.0060). (D) Spectral density of prefrontal EEG during REM episodes following single cycles as a function of the CDF at REM onset (Welch’s ANOVA, δ: F(4,1078.85) = 16.18, p = 7.04e-13; θ: F(4,1084.95) = 6.06, p = 8.0e-05; σ: F(4,1089.74) = 9.46, p = 1.61e-07).