IMR Press / JIN / Volume 21 / Issue 2 / DOI: 10.31083/j.jin2102052
Open Access Original Research
Efficiency moderates the relationship between sleep-onset insomnia and resting-state electroencephalogram microstate
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1 College of Psychology, Liaoning Normal University, 116029 Dalian, Liaoning, China
2 Institute of Psychology, Chinese Academy of Science, 100101 Beijing, China
3 Department of Psychology, University of Chinese Academy of Science, 100049 Beijing, China
4 Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA
5 College of Health Solutions, Arizona State University, Tempe, AZ 85281, USA
*Correspondence: yiyuan@asu.edu (Yiyuan Tang)
Academic Editor: Rafael Franco
J. Integr. Neurosci. 2022, 21(2), 52; https://doi.org/10.31083/j.jin2102052
Submitted: 27 December 2021 | Revised: 31 January 2022 | Accepted: 9 February 2022 | Published: 21 March 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: Overactivation of the salience network (SN) causes hyperarousal in insomnia patients and is associated with sleep-onset insomnia (SOI). Resting-state microstate 3 (RS-MS3) duration is closely related to SN overactivation. However, whether RS-MS3 duration is a biomarker for SOI has not yet been reported in the literature. In addition, SN activity is also associated with efficiency. However, it is not clear whether there are individual differences in the neural mechanisms of SOI in different efficiency groups. Methods: Considering that RS-MS3 duration characterizes the stability and persistent activation of the SN in the resting state, the current study investigated the link between SOI measured by sleep latency of Pittsburg Sleep Quality Index (PSQI), efficiency measured by Kirton Adaption-Innovation Inventory (KAI), and RS-MS3 in a Chinese healthy (subclinical) student population, using electroencephalography (EEG) microstate analysis. Results: We found that RS-MS3 duration was positively correlated with sleep latency and efficiency. The interaction between sleep latency and efficiency was significant. Simple slope analysis showed that high sleep latency was positively correlated with longer RS-MS3 duration in participants with higher efficiency scores. This correlation did not exist in participants with low efficiency scores. Conclusions: RS-MS3 duration may serve as a biomarker for SOI. There is heterogeneity in the relationship between SOI and RS-MS3 duration between individuals with high and low efficiency.

Keywords
sleep-onset insomnia
efficiency
sleep latency
resting-state microstate 3
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