Evidence map›Paper›PMID 33381759›Full record

ArticleBrain communications2020

Delayed maturation of the structural brain connectome in neonates with congenital heart disease.

Maria Feldmann, Ting Guo, Steven P Miller, Walter Knirsch, Raimund Kottke, Cornelia Hagmann, Beatrice Latal, Andras Jakab

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  4. Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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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

8 authors at 2 institutions in 2 countries.

Maria FeldmannChild Development Center, University Children's Hospital Zurich, Zurich 8032, Switzerland.ORCID 0000-0002-6616-3510
Ting GuoNeurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto ON M5G 0A4, Canada.
Steven P MillerNeurosciences and Mental Health, The Hospital for Sick Children Research Institute, Toronto ON M5G 0A4, Canada.
Walter KnirschDivision of Pediatric Cardiology, Pediatric Heart Center, University Children's Hospital Zurich, Zurich 8032, Switzerland.
Raimund KottkeDepartment of Diagnostic Imaging, University Children's Hospital Zurich, Zurich 8032, Switzerland.
Cornelia HagmannDepartment of Neonatology and Pediatric Intensive Care, University Children's Hospital Zurich, Zurich 8032, Switzerland.
Beatrice LatalChild Development Center, University Children's Hospital Zurich, Zurich 8032, Switzerland.
Andras JakabCentre for MR Research, University Children's Hospital Zurich, Zurich 8032, Switzerland.ORCID 0000-0001-6291-9889
University Children's Hospital Zurich · CHUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is emerging evidence for delayed brain development in neonates with congenital heart disease. We hypothesize that the perioperative development of the structural brain connectome is a proxy to such delays. Therefore, we set out to quantify the alterations and longitudinal pre- to post-operative changes in the connectome in congenital heart disease neonates relative to healthy term newborns and assess factors contributing to disturbed perioperative network development. In this prospective cohort study, 114 term neonates with congenital heart disease underwent cardiac surgery at the University Children's Hospital Zurich. Forty-six healthy term newborns were included as controls. Pre- and post-operative structural connectomes were derived from mean fractional anisotropy values of fibre pathways traced using diffusion MR tractography. Graph theory parameters calculated across a proportional cost threshold range were compared between groups by multi-threshold permutation correction adjusting for confounders. Network-based statistic was calculated for edgewise network comparison. White-matter injury volume was quantified on 3D T1-weighted images. Random coefficient mixed models with interaction terms of (i) cardiac subtype and (ii) injury volume with post-menstrual age at MRI, respectively, were built to assess modifying effects on network development. Pre- and post-operatively, at the global level, efficiency, indicative of network integration, was lower in heart disease neonates than controls. In contrast, local efficiency and transitivity, indicative of network segregation, were higher compared to controls (all

Indexed as

congenital heart diseasediffusion tensor imaginggraph theorystructural connectomicstractography

Identifiers

PMID33381759
PMCPMC7756099
OpenAlexW3109777251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.