ArticleUltrasound (Leeds, England)2020
Ultrasound measurement of brain tissue movement in humans: A systematic review.
Article in Ultrasound (Leeds, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Magnetic resonance imaging of the pulsing brain: a systematic review.Magma (New York, N.Y.) · 2023Pooled it
- Quantification of cardiac-locked brainstem velocity at high resolution based on retrospectively-gated DENSE MRI at 7T.bioRxiv : the preprint server for biology · 2026Article
- Dynamic visualization of brain pulsations using amplified MRI: methodology and applications.Interface focus · 2025Article
- The heartbeat induces local volumetric compression in the healthy human brain: a 7 T magnetic resonance imaging study on brain tissue pulsations.Interface focus · 2024Article
- Diagnostic Ability of Radiofrequency Ultrasound in Parkinson's Disease Compared to Conventional Transcranial Sonography and Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2020Article
- The Effects of Hypocapnia on Brain Tissue Pulsations.Brain sciences · 2020Article
- Ultrasonic Assessment of the Medial Temporal Lobe Tissue Displacements in Alzheimer's Disease.Diagnostics (Basel, Switzerland) · 2020Article
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 at 1 institution in 2 countries.
Funding
Abstract
introductionIt has long been suggested that ultrasound could be used to measure brain tissue pulsations in humans, but potential clinical applications are relatively unexplored. The aim of this systematic review was to explore and synthesise available literature on ultrasound measurement of brain tissue motion in humans.
methodsOur systematic review was designed to include predefined study selection criteria, quality evaluation, and a data extraction
resultsTen studies were eligible for the evidence synthesis and qualitative evaluation. All eligible studies confirmed that brain tissue motion over the cardiac cycle could be measured using ultrasound; however, data acquisition, analysis, and outcomes varied. The majority of studies used tissue pulsatility imaging, with the right temporal window as the acquisition point. Currently available literature is largely exploratory, with measurements of brain tissue displacement over a narrow range of health conditions and ages. Explored health conditions include orthostatic hypotension and depression.
conclusionFurther studies are needed to assess variability in brain tissue motion estimates across larger cohorts of healthy subjects and in patients with various medical conditions. This would be important for informing sample size estimates to ensure future studies are appropriately powered. Future research would also benefit from a consistent framework for data analysis and reporting, to facilitate comparative research and meta-analysis. Following standardisation and further healthy participant studies, future work should focus on assessing the clinical utility of brain tissue pulsation measurements in cerebrovascular disease states.
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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.