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Dynamic Configuration of Coactive Micropatterns in the Default Mode Network during Wakefulness and Sleep

Yan Cui, Min Li, Bharat B. Biswal, Wei Jing, Changsong Zhou, Huixiao Liu, Daqing Guo, Yang Xia, Dezhong Yao

preprint DOI: 10.1101/2020.07.29.226647 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Exploratory animal electrophysiology study
Population Rats
Topics Default mode network
Key points Three spatially stable coactive micropatterns (cDMN, aDMN, pDMN) were identified in rat DMN gamma activity. Their dynamic balance during wakefulness was disrupted in sleep, with cDMN dominating slow-wave sleep and aDMN and pDMN dominating REM sleep. The authors propose a three-state model relating these configurations to wakefulness and alertness.

Abstract

Abstract: The default mode network (DMN) is a prominent intrinsic network that is observable in many mammalian brains. However, few studies have investigated the temporal dynamics of this network based on direct physiological recordings. Herein, we addressed this issue by characterizing the dynamics of local field potentials (LFPs) from the rat DMN during wakefulness and sleep with an exploratory analysis. We constructed a novel coactive micropattern (CAMP) algorithm to evaluate the configurations of rat DMN dynamics and further revealed the relationship between DMN dynamics with different wakefulness and alertness levels. From the gamma activity (40-80 Hz) in the DMN across wakefulness and sleep, three spatially stable CAMPs were detected: a common low-activity level micropattern (cDMN), an anterior high-activity level micropattern (aDMN) and a posterior high-activity level micropattern (pDMN). A dynamic balance across CAMPs emerged during wakefulness and was disrupted in sleep stages. In the slow-wave sleep (SWS) stage, cDMN became the primary activity pattern, whereas aDMN and pDMN were the major activity patterns in the rapid eye movement sleep (REM) stage. Additionally, further investigation revealed phasic relationships between CAMPs and the up-down states of the slow DMN activity in the SWS stage. Our study revealed that the dynamic configurations of CAMPs were highly associated with different stages of wakefulness and provided a potential three-state model to describe the DMN dynamics for wakefulness and alertness. Impact Statement: In the current study, a novel coactive micropattern method (CAMP) was developed to elucidate fast DMN dynamics during wakefulness and sleep. Our findings demonstrated that the dynamic configurations of DMN activity are specific to different wakefulness stages and provided a three-state DMN CAMP model to depict wakefulness levels, thus revealing a potentially new neurophysiological representation of alertness levels. This work could elucidate the DMN dynamics underlying different stages of wakefulness and have important implications for the theoretical understanding of the neural mechanism of wakefulness and alertness.

Comparable studies

Other preclinical and animal studies on default mode network, most cited first.

Study Year Design Participants
Rat brains also have a default mode network Rats 2012 Observational study
Large-scale topology and the default mode network in the mouse connectome Mouse brain 2014 Observational study
Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network Anesthetized monkeys 2016 Observational study
Psilocybin-induced default mode network hypoconnectivity is blunted in alcohol-dependent rats Healthy rats and a rat model of alcohol relapse 2023 Randomized, placebo-controlled crossover pharmaco-fMRI study
Altered functional connectivity within the default mode network in two animal models with opposing episodic memories Rats (control, LPS-challenged, and footshock-exposed groups) 2018 Animal model study

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