Evidence map›Paper›PMID 39909202›Full record

ArticleThe Journal of pediatrics2025

Quantitative Magnetic Resonance Cerebrospinal Fluid Flow Properties and Neurocognitive Outcomes in Congenital Heart Disease.

Vincent Kyu Lee, William T Reynolds, Rebecca R Hartog, Julia Wallace, Nancy Beluk, Jodie K Votava-Smith, Daryaneh Badaly, Cecilia W Lo, Rafael Ceschin, Ashok Panigrahy

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Vincent Kyu LeeDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA. Electronic address: vkl2@pitt.edu.
William T ReynoldsDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Rebecca R HartogDivision of Cardiology, Department of Pediatrics, Washington University, St. Louis, MO.
Julia WallaceDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Nancy BelukDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Jodie K Votava-SmithDivision of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA; Keck School of Medicine, University of Southern California, Los Angeles, CA.
Daryaneh BadalyLearning and Development Center, Child Mind Institute, New York, NY.
Cecilia W LoDevelopmental Biology, University of Pittsburgh, Pittsburgh, PA.
Rafael CeschinDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Ashok PanigrahyDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
SVRIII: Brain Connectome and Neurodevelopment OutcomesR01HL128818 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2015 to 2019
$3.5M
Modeling Cerebral Microbleeds and Striatal Brain Iron in Adult Congenital Heart Disease in Relationship to Differential Genetic Risk for Alzheimer DiseaseR01HL152740 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CESCHIN, RAFAEL C, GURVITZ, MICHELLE · 2020 to 2023
$2.2M
Quantitative Magnetic Resonance Properties of Cerebrospinal Fluid and Brain Health Outcomes in Pediatric Congenital Heart DiseaseF31HL165730 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, VINCENT KYU · 2022 to 2024
$143k
NCATS NIH HHS UL1 TR001857NHLBI NIH HHS F31 HL165730NHLBI NIH HHS R01 HL128818NHLBI NIH HHS R01 HL152740NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

objectivesTo determine whether there are differences in pulsatile cerebrospinal fluid (CSF) flow between children and adolescents with congenital heart disease (CHD) and healthy, age-matched peers, and to determine if abnormal CSF flow is associated with abnormal CSF volumes and whether it predicts executive function outcomes. STUDY

designCSF flow was measured across the lumen of the aqueduct of Sylvius using cardiac-gated phase-contrast MRI at 3.0 T on 60 children and adolescents (CHD = 22, healthy controls = 38). CSF flow modeled as standard pulsatility characteristics (anterograde and retrograde peak velocities, mean velocity, and velocity variance measurements) and dynamic pulsatility characteristics (each participant's CSF flow deviation from study cohort's consensus flow quantified using the root mean squared deviation) were measured. Participants underwent neurocognitive assessments for executive function, focused on inhibition, cognitive flexibility, and working memory domains.

resultsCompared with controls, the CHD group demonstrated greater dynamic pulsatility over the entire cardiac cycle (higher overall flow root mean squared deviation: P = .0353 for the study cohort fitted; P = .0292 for the control only fitted), but no difference in standard pulsatility measures. However, a lower mean velocity (P = .0323) and lower dynamic CSF flow pulsatility (root mean squared deviation P = .0181 for the study cohort fitted; P = .0149 for the control only fitted) predicted poor inhibitory executive functional outcomes. DISCUSSION: Although the whole CHD group exhibited higher dynamic CSF flow pulsatility compared with controls, the subset of patients with CHD with relatively reduced static and dynamic CSF flow pulsatility had the worst inhibitory domain executive functioning. These findings suggest that altered CSF flow pulsatility may be related to not only brain compensatory mechanisms, but also to cognitive impairment in CHD.

Indexed as

Cerebrospinal FluidHeart Defects, CongenitalMagnetic Resonance ImagingAdolescentCase-Control StudiesChildCognitionExecutive FunctionFemaleHumansMaleNeuropsychological TestsPulsatile Flow

Identifiers

PMID39909202
PMCPMC13256874

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.