Evidence map›Paper›PMID 40341392›Full record

ArticleSleep2025

The subcortical correlates of self-reported sleep quality.

Martin M Monti

Abstract read
In one paragraph

Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Martin M MontiDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-5511-3780

Funding

Cortical-Subcortical Network Dynamics of Anesthesia and ConsciousnessR01GM135420 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI POURATIAN, NADER · 2020 to 2024
$1.2M
NIGMS NIH HHS R01 GM135420NIGMS NIH HHS R01GM135420NIH HHS
6 · The paper itself

Abstract

STUDY

objectivesTo assess the association between self-reported measures of sleep quality and cortical and subcortical local morphometry.

methodsSleep quality, operationalized with the Pittsburgh Sleep Quality Index (PSQI), and neuroanatomical data from the full release of the young adult Human Connectome Project dataset were analyzed (N = 1,112; 46% female; mean age: 28.8 years old). Local cortical and subcortical morphometry was measured with subject-specific segmentations resulting in voxelwise gray matter difference (i.e. voxel-based morphometry) measurements for cortex and local shape measurements for subcortical regions. Associations between the total score of PSQI, two statistical groupings of its subcomponents (obtained with a principal component analysis), and their interaction with demographic (i.e. sex, age, handedness, years of education) and biometric (i.e. BMI) variables were assessed using a general linear model and a nonparametric permutation approach.

resultsSleep quality-related variance was significantly associated with subcortical morphometry, particularly in the bilateral caudate, putamen, and left pallidum, where smaller shape measures correlated with worse sleep quality. Notably, these associations were independent of demographic and biometric factors. In contrast, cortical morphometry, along with additional subcortical sites, showed no direct associations with sleep quality but demonstrated interactions with demographic and biometric variables.

conclusionsThis study reveals a specific link between self-reported sleep quality and subcortical morphometry, particularly within the striatum and pallidum, reinforcing the role of these regions in sleep regulation. These findings underscore the importance of considering subcortical morphology in sleep research and highlight potential neuromodulatory targets for sleep-related interventions.

Indexed as

BrainSelf ReportSleep QualityAdultConnectomeFemaleGray MatterHumansMagnetic Resonance ImagingMaleYoung Adultcaudateneuroanatomyneuroimagingpallidumputamensleep and brain

Identifiers

PMID40341392
PMCPMC12515596

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.