Extended Data Fig. 4: Extended waking data.
From: Sleep restores an optimal computational regime in cortical networks
a. Process S is traditionally quantified by changes in slow-wave activity (SWA), especially in the context of sleep deprivation8 (Franken et al.). To confirm that our extended waking protocol is consistent with prior work, we quantified SWA (absolute power) throughout an extended waking epoch and the recovery period. 90 min of extended wake (teal) is sufficient to drive elevated SWA at the onset of NREM (blue) during recovery sleep. SWA progressively declines during NREM sleep. SWA was calculated in 5 mins bins (with a median filter of 4 s sliding windows in each epoch, similar to Franken et al.8). b. Normalized firing rate (FR) does not vary as a function of time spent in extended waking. FR is significantly lower in the recovery phase, the majority of which is NREM sleep (consistent with Extended Data Fig. 1h). Data in b–f are presented as mean ± s.e.m. c. FR at the start and end of extended waking, divided by light and dark phases. d. The interspike interval coefficient of variation (CV) does not vary significantly across the extended waking protocol or recovery period. e. Same as in c but for CV. f. The impact of extended waking on DCC is a significant increase between the start and end of the protocol. The magnitude of this change does not differ when comparing the first half of the 24 h period (light blue) to the second half (dark blue). P = 2.4e−16 for the first half; P = 6.7e−4 for the second half; Linear mixed effects: DCC ~ stage of extended wake + (1|animal). g. Quantification of data in f (P = 0.549, Linear mixed effects). The box-and-whisker plots show the median, the first and third quartiles, minimum and maximum, and outliers of the data. Data in b-f are from 8 animals. *** P < 0.001.
