Evidence map›Paper›PMID 30076775›Full record

Observational studyHuman brain mapping2018

Structural network topology correlates of microstructural brain dysmaturation in term infants with congenital heart disease.

Vincent J Schmithorst, Jodie K Votava-Smith, Nhu Tran, Richard Kim, Vince Lee, Rafael Ceschin, Hollie Lai, Jennifer A Johnson, Joan Sanchez De Toledo, Stefan Blüml and 2 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

26 citing papers in PubMed, 41 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Vincent J SchmithorstDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Jodie K Votava-SmithDivision of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California.
Nhu TranDivision of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California.
Richard KimDivision of Pediatric Cardiothoracic Surgery, Department of Surgery, Children's Hospital Los Angeles, Los Angeles, California.
Vince LeeDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Rafael CeschinDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Hollie LaiDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, California.
Jennifer A JohnsonDivision of Pediatric Cardiology, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Joan Sanchez De ToledoPediatric Cardiac Intensive Care Division, Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Stefan BlümlDepartment of Radiology, Children's Hospital Los Angeles, Los Angeles, California.
Lisa PaquetteDepartment of Pediatrics, Division of Neonatology, Children's Hospital Los Angeles, Los Angeles, California.
Ashok PanigrahyDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Children's Hospital of Los Angeles · USChildren's Hospital of Pittsburgh · USUniversity of Pittsburgh · US

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
Advanced MR Imaging of Perinatal White Matter InjuryK23NS063371 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2009 to 2013
$846k
NHLBI NIH HHS R01 HL128818NINDS NIH HHS K23 NS063371NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

Neonates with complex congenital heart disease (CHD) demonstrate microstructural brain dysmaturation, but the relationship with structural network topology is unknown. We performed diffusion tensor imaging (DTI) in term neonates with CHD preoperatively (N = 61) and postoperatively (N = 50) compared with healthy term controls (N = 91). We used network topology (graph) analyses incorporating different weighted and unweighted approaches and subject-specific white matter segmentation to investigate structural topology differences, as well as a voxel-based analysis (VBA) to confirm the presence of microstructural dysmaturation. We demonstrate cost-dependent network inefficiencies in neonatal CHD in the pre- and postoperative period compared with controls, related to microstructural differences. Controlling for cost, we show the presence of increased small-worldness (hierarchical fiber organization) in CHD infants preoperatively, that persists in the postoperative period compared with controls, suggesting the early presence of brain reorganization. Taken together, topological microstructural dysmaturation in CHD infants is accompanied by hierarchical fiber organization during a protracted critical period of early brain development. Our methodology also provides a pipeline for quantitation of network topology changes in neonates and infants with microstructural brain dysmaturation at risk for perinatal brain injury.

Indexed as

BrainDiffusion Tensor ImagingFemaleHeart Defects, CongenitalHumansInfant, NewbornMaleNeural PathwaysProspective Studiescongenital heart diseasediffusion tensor MRIgraph analysisinfant

Identifiers

PMID30076775
PMCPMC6260793
OpenAlexW2885702622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.