Evidence map›Paper›PMID 38699341›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Functional network organization is locally atypical in children and adolescents with congenital heart disease.

Joy Roy, William Reynolds, Ashok Panigrahy, Rafael Ceschin

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Joy RoyDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, United States.
William ReynoldsDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, United States.
Ashok PanigrahyDepartment of Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, United States.
Rafael CeschinDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, United States.

Funding

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
NHLBI NIH HHS R01 HL128818NHLBI NIH HHS R01 HL152740NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

Children and adolescents with congenital heart disease (CHD) frequently experience neurodevelopmental impairments that can impact academic performance, memory, attention, and behavioral function, ultimately affecting overall quality of life. This study aims to investigate the impact of CHD on functional brain network connectivity and cognitive function. Using resting-state fMRI data, we examined several network metrics across various brain regions utilizing weighted networks and binarized networks with both absolute and proportional thresholds. Regression models were fitted to patient neurocognitive exam scores using various metrics obtained from all three methods. Our results unveil significant differences in network connectivity patterns, particularly in temporal, occipital, and subcortical regions, across both weighted and binarized networks. Furthermore, we identified distinct correlations between network metrics and cognitive performance, suggesting potential compensatory mechanisms within specific brain regions.

Indexed as

Congenital Heart DiseaseFunctional ConnectivityNetwork Science

Identifiers

PMID38699341
PMCPMC11065028

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.