Evidence map›Paper›PMID 32987301›Full record

ArticleNeuroImage. Clinical2020

Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease.

Megan Ní Bhroin, Samy Abo Seada, Alexandra F Bonthrone, Christopher J Kelly, Daan Christiaens, Andreas Schuh, Maximilian Pietsch, Jana Hutter, J-Donald Tournier, Lucillio Cordero-Grande and 8 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.2field-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

18 citing papers in PubMed, 28 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

18 authors at 5 institutions in 4 countries.

Megan Ní BhroinCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Trinity College Institute of Neuroscience and Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Ireland.
Samy Abo SeadaCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Alexandra F BonthroneCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Christopher J KellyCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Daan ChristiaensCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium.
Andreas SchuhDepartment of Computing, Imperial College London, London, UK.
Maximilian PietschCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Jana HutterCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
J-Donald TournierCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Lucillio Cordero-GrandeCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
Daniel RueckertDepartment of Computing, Imperial College London, London, UK.
Joseph V HajnalCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Kuberan PushparajahPaediatric Cardiology Department, Evelina London Children's Healthcare, London, UK.
John SimpsonCongenital Heart Disease, Evelina London Children's Hospital, London, UK.
A David EdwardsCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Mary A RutherfordCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. Electronic address: serena.counsell@kcl.ac.uk.
Dafnis BatalleCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
King's College London · GBEvelina London Children's Healthcare · GBImperial College London · GBKU Leuven · BETrinity College Dublin · IE

Funding

British Heart Foundation FS/15/55/31649Department of HealthMedical Research Council MR/K006355/1Medical Research Council MR/L011530/1Wellcome Trust 217316/Z/19/ZWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

Impaired brain development has been observed in newborns with congenital heart disease (CHD). We performed graph theoretical analyses and network-based statistics (NBS) to assess global brain network topology and identify subnetworks of altered connectivity in infants with CHD prior to cardiac surgery. Fifty-eight infants with critical/serious CHD prior to surgery and 116 matched healthy controls as part of the developing Human Connectome Project (dHCP) underwent MRI on a 3T system and high angular resolution diffusion MRI (HARDI) was obtained. Multi-tissue constrained spherical deconvolution, anatomically constrained probabilistic tractography (ACT) and spherical-deconvolution informed filtering of tractograms (SIFT2) was used to construct weighted structural networks. Network topology was assessed and NBS was used to identify structural connectivity differences between CHD and control groups. Structural networks were partitioned into core and peripheral nodes, and edges classed as core, peripheral, or feeder. NBS identified one subnetwork with reduced structural connectivity in CHD infants involving basal ganglia, amygdala, hippocampus, cerebellum, vermis, and temporal and parieto-occipital lobe, primarily affecting core nodes and edges. However, we did not find significantly different global network characteristics in CHD neonates. This locally affected sub-network with reduced connectivity could explain, at least in part, the neurodevelopmental impairments associated with CHD.

Indexed as

ConnectomeHeart Defects, CongenitalBrainDiffusion Magnetic Resonance ImagingHumansInfantInfant, NewbornMagnetic Resonance ImagingBrainCongenital heart diseasedHCPDiffusion MRIGraph TheoryInfant

Identifiers

PMID32987301
PMCPMC7520425
OpenAlexW3089251074

What OpenQuestion holds

Textmetadata
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.