ArticleMagnetic resonance in medicine2026
Imaging Venous Transit Time and Blood-Brain Barrier Permeability of the Deep Brain.
Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Cerebral oxygen extraction fraction as a physiological biomarker in vascular cognitive impairment: A study in older adults enriched for small vessel diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Blood-brain barrier water permeability is elevated in type 2 diabetes and obesity: associations with cognitive function and metabolic markers.Fluids and barriers of the CNS · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeImaging of venous vessels with advanced pulse sequences allows the assessment of important hemodynamic parameters. Previous work has measured venous transit time (VTT) and blood-brain barrier (BBB) water permeability in cortical tissue. This study aimed to measure VTT and BBB permeability in the deep brain through imaging in the straight sinus (SS).
methodsTwo studies were conducted. Study I measured VTT of the deep brain using a Venous-transit-time-Imaging-by-Changes-in-T1-Relaxation (VICTR) MRI sequence. The obtained VTT was used in study II to optimize the imaging parameters of Water-Extraction-with-Phase-Contrast-Arterial-Spin-Tagging (WEPCAST) MRI pulse sequence, and the permeability-surface-area product (PS) was quantified in the deep brain. Test-retest reproducibility was assessed.
resultsSS VTT was found to be 2807.5 ± 349.5 ms, which was approximately half a second shorter than the SSS VTT (3365.0 ± 235.3 ms, p < 0.001). The SS VTT results were reproducible across repetitions, with a coefficient of variation of 2.8% ± 0.5%. The standard deviation of the VTT distribution in SS was 973.7 ± 48.1 ms, again shorter than the corresponding SSS values (1165.5 ± 37.2 ms, p < 0.001). The water extraction fraction, E, from the SS was 94.8% ± 1.9%, and the deep-brain PS was 141.3 ± 20.2 mL/100 g/min. The PS values were slightly lower than the cortical PS of 152.9 ± 20.9 mL/100 g/min (p = 0.039), and may reflect the lower vascularity in the deep-brain region. The intraclass correlation coefficient (ICC) of the deep-brain PS values from repeated runs was 0.863.
conclusionThis is the first study to measure two parameters associated with deep-brain physiology, specifically VTT and BBB water permeability, and provide their normative values.
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.