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The thalamic clustering coefficient moderates the vigor-sleep quality relationship.

Xiaoqian Ding1, Qingmin Li1, Yi-Yuan Tang2,3

  • 1College of Psychology, Liaoning Normal University, Dalian, 116029 China.

Sleep and Biological Rhythms
|March 13, 2024
PubMed
Summary

The left thalamic clustering coefficient, a brain neural activity measure, influences the relationship between vigor and sleep quality. Lower coefficients strengthen this connection, offering insights into personalized sleep disorder treatments.

Keywords:
Clustering coefficientSleep qualityThalamusVigor

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Area of Science:

  • Neuroscience
  • Sleep Medicine
  • Psychology

Background:

  • Sleep disorders impact over 25% of the global population, affecting productivity, immunity, and cardiovascular health.
  • Identifying physiological and psychological factors is crucial for preventing and treating sleep disorders.
  • Understanding brain mechanisms underlying sleep quality and emotional state is essential.

Purpose of the Study:

  • To investigate the correlation between emotional state, sleep quality, and brain neural activity using resting-state functional magnetic resonance imaging (rs-fMRI).
  • To explore the role of the left thalamic clustering coefficient in modulating the relationship between vigor and sleep quality.

Main Methods:

  • rs-fMRI data from 116 healthy undergraduates were analyzed using graph theory to assess regional topological characteristics.
  • The Profile of Mood States (POMS) measured vigor, and the Pittsburgh Sleep Quality Index (PSQI) assessed sleep quality.
  • Statistical analyses correlated the left thalamic clustering coefficient with vigor and sleep quality, examining moderating effects.

Main Results:

  • The left thalamic clustering coefficient was negatively correlated with both sleep quality and vigor.
  • This coefficient moderated the relationship between vigor and sleep quality, with a significant positive correlation observed only when the coefficient was low.
  • The association between vigor and sleep quality demonstrated heterogeneity based on the left thalamic clustering coefficient levels.

Conclusions:

  • The left thalamic neural network's function is key to understanding variations in the vigor-sleep quality relationship.
  • These findings suggest potential for developing personalized interventions for sleep disorders based on individual neural network characteristics.
  • Targeting the left thalamic network may offer novel therapeutic strategies for sleep disturbances.