@article{ref1,
title="Temporal fluctuations in vigilance and neural networks after sleep deprivation",
journal="European journal of neuroscience",
year="2022",
author="Mai, Zifeng and Li, Mingzhu and Pan, Leyao and Ma, Ning",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Vigilance instability in the sleep-deprived state was deemed to result from the imbalance in thalamic-FPN-DMN circuits (FPN: frontoparietal network; DMN: default mode network), but the behavioral correlation of this neural hypothesis is still unclear. To address this issue, we applied dynamic functional connectivity (DFC) analysis on the task-based fMRI data and detected high arousal state (HAS) and low arousal state (LAS). Relative to HAS, LAS demonstrated higher positive connectivity within task-positive networks (TPN), attenuated TPN-DMN anti-correlation, and greater anti-correlation between cerebral and subcortico-cerebellar networks. Critically, DFC differences between HAS and LAS were correlated with the ongoing vigilance performance in the sleep-deprived state. The current findings confirmed a direct link between vigilance instability and DFC in the thalamic-FPN-DMN circuits. In particular, we postulated that the integration within task-related system and segregation between task-related system and the subcortico-cerebellar system might be the critical neural markers underlying vigilance instability in the sleep-deprived state.<p /> <p>Language: en</p>",
language="en",
issn="0953-816X",
doi="10.1111/ejn.15663",
url="http://dx.doi.org/10.1111/ejn.15663"
}