Data Sheet 2_Glymphatic dysfunction across sleep disorders: a meta-analysis of DTI-ALPS studies.pdf

BackgroundSleep disorders are increasingly linked to glymphatic dysfunction, but whether this impairment is universal across different sleep pathologies remains unclear.
ObjectiveThis meta-analysis examined whether glymphatic dysfunction, assessed via the diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index, may represent a shared neural feature across a spectrum of sleep disorders.
MethodsWe systematically searched PubMed, EMBASE, and the Cochrane Library from inception to December 31, 2025, for observational studies comparing DTI-ALPS index between patients with sleep disorders and healthy controls. Data were synthesized from 19 studies (n = 2,315) using a random-effects model to calculate standardized mean differences (SMDs). Methodological quality was assessed with the Newcastle-Ottawa Scale. Subgroup analyses, meta-regression, sensitivity analyses, and publication bias assessment were performed.
ResultsThe pooled analysis revealed significant global glymphatic impairment in patients with sleep disorders (SMD = −1.60, 95% CI [−2.65, −0.54], p = 0.003), indicating global glymphatic dysfunction. However, heterogeneity was extremely high (I2 = 94.7%). Disorder-specific analyses showed pronounced deficits in obstructive sleep apnea (SMD = −0.92, p < 0.001) and idiopathic REM sleep behavior disorder (SMD = −0.63, p = 0.004), as well as in PSQI-defined poor sleep (SMD = −0.50, p < 0.001). Results for insomnia and narcolepsy were non-significant and highly heterogeneous. Meta-regression identified no significant moderators; publication bias was detected (p = 0.01).
ConclusionGlymphatic dysfunction, as assessed by DTI-ALPS, is consistently observed across several sleep disorders, suggesting a potential shared pathway. However, extreme heterogeneity limits interpretability of the pooled effect, and cross-sectional data preclude causal inference.