ArticleQuantitative imaging in medicine and surgery2026
Imaging study of white matter microstructural damage and glymphatic system dysfunction in patients with primary insomnia: a combined analysis based on PSMD, DTI-ALPS, and EPVS.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Primary insomnia is associated with cognitive impairment and subtle brain structural alterations; however, the relationship between white matter microstructural damage and glymphatic-related imaging changes remains unclear. This study investigated these alterations by jointly assessing peak width of skeletonized mean diffusivity (PSMD), diffusion tensor imaging analysis along the perivascular space (DTI-ALPS), and enlarged perivascular spaces (EPVS). Methods: This retrospective cross-sectional study included 64 right-handed adults, comprising 32 patients with primary insomnia and 32 healthy controls. All participants underwent standardized assessments of sleep, mood, and cognition, as well as 3.0-T magnetic resonance imaging, including diffusion tensor imaging and T2-weighted imaging. PSMD and the DTI-ALPS index were calculated from diffusion data, and EPVS in the basal ganglia and centrum semiovale were visually rated. Between-group differences were evaluated using independent-samples Results: Patients with primary insomnia had higher PSMD values than healthy controls (P=0.047). Basal ganglia EPVS scores were higher in the unadjusted comparison (P=0.040), but this association was attenuated after adjustment for age, education, sex, diabetes, hypertension, smoking, and alcohol consumption (odds ratio =0.329, 95% confidence interval: 0.099-1.091; P=0.069). No significant between-group differences were found in the DTI-ALPS index (P=0.267) or centrum semiovale EPVS scores (false discovery rate-adjusted P=0.211). In the full sample, higher PSMD was associated with lower DTI-ALPS values (r=-0.331, adjusted P=0.019), higher basal ganglia EPVS scores (r=0.456, adjusted P=0.001), and lower Montreal Cognitive Assessment (r=-0.329, adjusted P=0.019) and Mini-Mental State Examination scores (r=-0.440, adjusted P=0.001). These associations remained significant after additional adjustment for depressive and anxiety symptoms. Conclusions: Primary insomnia was associated with greater white matter microstructural heterogeneity, whereas evidence of glymphatic dysfunction was partial and indirect. Higher PSMD was related to glymphatic-related imaging markers and poorer cognitive performance; however, the small sample and cross-sectional design warrant cautious interpretation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.