ReviewPsychoradiology2025
Assessing glymphatic-associated fluid dynamics in psychiatric disorders: evidence from neuroimaging - a review.
Review in Psychoradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Glymphatic function in humans: indicators, modulators, and measurement strategies.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Neuroimaging evidence of mitochondrial dysfunction and inflammation in psychiatric disorders: a review.Psychoradiology · 2026Review
- Brain imaging data and summary data-based Mendelian randomization analysis reveal the impact of multiorgan aging on schizophrenia.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the glymphatic system has been extensively investigated in neurodegenerative diseases, its potential role in psychiatric disorders is only beginning to be recognized. Conditions such as major depressive disorder, schizophrenia, and bipolar disorder frequently exhibit physiological disturbances, including disrupted sleep, neuroinflammation, vascular impairment, and altered astrocytic function, that may modulate glymphatic transport. Recent neuroimaging studies have started to explore these associations. Structural magnetic resonance imaging (MRI) has been used to quantify perivascular space enlargement in depression and schizophrenia. Diffusion-based approaches, including low-b-value diffusion and the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, have been used to estimate perivascular diffusivity, with some studies linking these measures to symptom severity. Functional MRI metrics such as blood oxygen level-dependent-cerebrospinal fluid (BOLD-CSF) coupling have provided indirect markers of CSF pulsatility, revealing associations with sleep quality and cognition. Positron emission tomography (PET) has been investigated for assessing CSF tracer dynamics and targeting neuroinflammation. While these imaging results are promising, they are often indirect, methodologically heterogeneous, and derived from small samples. This review examines current evidence on glymphatic alterations in psychiatric conditions, describes shared and disorder-specific mechanisms, and assesses how complementary MRI and PET approaches can provide a more integrated understanding of glymphatic function. It also addresses methodological challenges, identifies research gaps, and discusses opportunities to incorporate glymphatic imaging into psychiatric diagnostics, prognosis, and treatment monitoring. The article is intended for researchers and clinicians in psychiatry, neurology, and neuroimaging who are interested in the translational potential of glymphatic research.
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.