Evidence map›Paper›PMID 40322527›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Characterizing the spatial patterns and determinants of cerebrospinal fluid pseudorandom flow in the human brain with low b-value diffusion MRI.

Arash Nazeri, Helia Hosseini, Taher Dehkharghanian, Kevin E Lindsay, Pamela LaMontagne, Joshua S Shimony, Tammie L S Benzinger, Aristeidis Sotiras

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. 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

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Arash NazeriMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Helia HosseiniMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Taher DehkharghanianUniversity Health Network, Toronto, Ontario, Canada.
Kevin E LindsayMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Pamela LaMontagneMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Tammie L S BenzingerMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Aristeidis SotirasMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Redefining Chiari Type I Malformation through Genetically, Radiologically, and Clinically-Derived Endophenotypes that are Predictive of Long-Term Neurological OutcomeP01NS131131 · NINDS · WASHINGTON UNIVERSITY · PI David Delmar Limbrick, Chenyang Lu · 2023 to 2026
$7.6M
Quantification of Neuroinflammation inAlzheimer's Disease Using Diffusion BasisSpectrum ImagingR01AG054567 · NIA · WASHINGTON UNIVERSITY · PI BENZINGER, TAMMIE LEE SMITH, WANG, YONG · 2017 to 2021
$3.6M
Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's DiseaseR01AG067103 · NIA · WASHINGTON UNIVERSITY · PI SOTIRAS, ARISTEIDIS · 2021 to 2025
$2.8M
HIGH PERFORMANCE BIOMEDICAL IMAGING COMPUTER RESOURCESS10RR022984 · NCRR · WASHINGTON UNIVERSITY · PI PRIOR, FRED WILLIAM · 2009 to 2009
$1.9M
GPU COMPUTING RESOURCE TO ENABLE INNOVATION IN IMAGING AND NETWORK BIOLOGYS10OD018091 · OD · WASHINGTON UNIVERSITY · PI PAPPU, ROHIT V, PRIOR, FRED WILLIAM · 2014 to 2014
$598k
NCRR NIH HHS S10 RR022984NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS R01 AG054567NIA NIH HHS R01 AG067103NIH HHS S10 OD018091NINDS NIH HHS P01 NS131131
6 · The paper itself

Abstract

The circulation of cerebrospinal fluid (CSF) is essential for maintaining brain homeostasis and clearance, and impairments in its flow can lead to various brain disorders. Recent studies have shown that CSF effective motility can be interrogated using low b-value diffusion magnetic resonance imaging (low-b dMRI). Nevertheless, the spatial organization of intracranial CSF flow dynamics remains largely elusive. Here, we developed a whole-brain voxel-based analysis framework, termed CSF pseudo-diffusion spatial statistics (

Indexed as

CSF flowlow-b dMRImachine learningneurofluid imagingpattern recognitionvoxel-wise analysis

Identifiers

PMID40322527
PMCPMC12048033

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.