Altered Coactive Micropattern Connectivity in the Default-Mode Network during the Sleep-Wake Cycle

Abstract

The default-mode network (DMN) is believed to be associated with levels of consciousness, but how the functional connectivity (FC) of the DMN changes across different states of consciousness is still unclear. In the current work, we addressed this issue by exploring the coactive micropattern (CAMP) networks of the DMN according to the CAMPs of rat DMN activity during the sleep-wake cycle and tracking their topological alterations among different states of consciousness. Three CAMP networks were observed in DMN activity, and they displayed greater FC and higher efficiency than the original DMN structure in all states of consciousness, implying more efficient information processing in the CAMP networks. Furthermore, no significant differences in FC or network properties were found among the three CAMP networks in the waking state. However, the three networks were distinct in their characteristics in two sleep states, indicating that different CAMP networks played specific roles in distinct sleep states. In addition, we found that the changes in the FC and network properties of the CAMP networks were similar to those in the original DMN structure, suggesting intrinsic effects of various states of consciousness on DMN dynamics. Our findings revealed three underlying CAMP networks within the DMN dynamics and deepened the current knowledge concerning FC alterations in the DMN during conscious changes in the sleep-wake cycle.

Sleep deprivation reorganizes the dynamic configurations of default mode network activity during recovery sleep

“…In the pDMN, the posterior DMN structures displayed higher levels of activity (mean normalized activity: 0.3382 ± 0.0094), whereas the anterior DMN regions exhibited relatively lower levels of activity (mean normalized activity: 0.2708 ± 0.0021). The structures of all CAMPs were similar to those in our previous work [35]. It could be observed that the cDMN was the primary activity pattern of the DMN in the SWS state (Figure 4(a)), and the aDMN and pDMN were the major activity patterns in the REM sleep state in all three sleep periods (Figure 4(b)).…”

“…The other one is the construction of CAMP networks that correspond to the FC structures across brain regions for these CAMPs. Systematic descriptions of the CAMP algorithm and the CAMP network method have been presented in our prior publications, which were capable of revealing the dynamic configurations of DMN activity during the sleepwake cycle [35,36].…”

“…The CAMP algorithm could decompose the neural activity into several stable activity patterns (i.e. CAMPs), which were used to descript the dynamic configurations of neural activity [35,36]. We performed sleep deprivation experiments in rats and recorded the local field potentials (LFPs) of rat DMN activity during the baseline sleep (BS), the first hour of recovery sleep (RS1) and the sixth hour of recovery sleep (RS6) in this study.…”