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The subcortical correlates of self-reported sleep quality
1Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
Poor sleep quality is linked to smaller subcortical brain structures, specifically in the striatum and pallidum. These findings highlight the brain regions involved in sleep regulation and potential intervention targets.
Area of Science:
- Neuroscience
- Sleep Science
- Neuroimaging
Background:
- Self-reported sleep quality is a crucial indicator of overall health.
- Understanding the neurobiological underpinnings of sleep quality is essential for developing targeted interventions.
- Previous research has explored the relationship between sleep and brain structure, but specific morphometric associations require further investigation.
Purpose of the Study:
- To investigate the association between self-reported sleep quality and local morphometry of cortical and subcortical brain regions.
- To identify specific brain structures that correlate with variations in sleep quality.
Main Methods:
- Utilized data from 1,112 young adults from the Human Connectome Project dataset.
- Assessed sleep quality using the Pittsburgh Sleep Quality Index (PSQI).
- Measured local cortical and subcortical morphometry using voxel-based morphometry and shape analysis, employing general linear models and nonparametric permutation testing.
Main Results:
- Found significant associations between poorer sleep quality and reduced morphometric measures in subcortical regions, including the bilateral caudate, putamen, and left pallidum.
- These associations were independent of demographic and biometric factors such as age, sex, and BMI.
- Cortical morphometry and other subcortical regions did not show direct associations with sleep quality but interacted with demographic variables.
Conclusions:
- Established a specific link between self-reported sleep quality and subcortical morphometry, particularly within the striatum and pallidum.
- Reinforced the role of these subcortical regions in the regulation of sleep.
- Highlighted the importance of considering subcortical morphology in sleep research and identified potential targets for sleep-related interventions.
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