Evidence map›Paper›PMID 39026214›Full record

ArticleFluids and barriers of the CNS2024

Cerebrospinal fluid-based spatial statistics: towards quantitative analysis of cerebrospinal fluid pseudodiffusivity.

Yutong Chen, Hui Hong, Arash Nazeri, Hugh S Markus, Xiao Luo

Abstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  6. Imaging brain fluid dynamics and waste clearance involving perivascular spaces in cerebral small vessel disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yutong Chen *Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Hui Hong *Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Arash NazeriMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Hugh S MarkusDepartment of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Xiao LuoDepartment of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China. luoxiao1990@zju.edu.cn.

Funding

National Natural Science Foundation of China 82271936
6 · The paper itself

Abstract

backgroundCerebrospinal fluid (CSF) circulation is essential in removing metabolic wastes from the brain and is an integral component of the glymphatic system. Abnormal CSF circulation is implicated in neurodegenerative diseases. Low b-value magnetic resonance imaging quantifies the variance of CSF motion, or pseudodiffusivity. However, few studies have investigated the relationship between the spatial patterns of CSF pseudodiffusivity and cognition.

methodsWe introduced a novel technique, CSF-based spatial statistics (CBSS), to automatically quantify CSF pseudodiffusivity in each sulcus, cistern and ventricle. Using cortical regions as landmarks, we segmented each CSF region. We retrospectively analyzed a cohort of 93 participants with varying degrees of cognitive impairment.

resultsWe identified two groups of CSF regions whose pseudodiffusivity profiles were correlated with each other: one group displaying higher pseudodiffusivity and near large arteries and the other group displaying lower pseudodiffusivity and away from the large arteries. The pseudodiffusivity in the third ventricle positively correlated with short-term memory (standardized slope of linear regression = 0.38, adjusted p < 0.001) and long-term memory (slope = 0.37, adjusted p = 0.005). Fine mapping along the ventricles revealed that the pseudodiffusivity in the region closest to the start of the third ventricle demonstrated the highest correlation with cognitive performance.

conclusionsCBSS enabled quantitative spatial analysis of CSF pseudodiffusivity and suggested the third ventricle pseudodiffusivity as a potential biomarker of cognitive impairment.

Indexed as

Cerebrospinal FluidCognitive DysfunctionMagnetic Resonance ImagingAgedAged, 80 and overBrainFemaleHumansMaleMiddle AgedRetrospective StudiesCerebrospinal fluidDementiaGlymphatic systemIntravoxel incoherent motionPseudodiffusivity

Identifiers

PMID39026214
PMCPMC11256588

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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.