Evidence map›Paper›PMID 28649491›Full record

ArticleNeuroImage. Clinical2017

Ventricular shape and relative position abnormalities in preterm neonates.

N Paquette, J Shi, Y Wang, Y Lao, R Ceschin, M D Nelson, A Panigrahy, N Lepore

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03410810 (Predicting the Early Childhood Outcomes of Preterm Brain Shape Abnormalities), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% 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.

NCT03410810 unknown statusnot on this mapstarted 2018, after this paper: background citation

Predicting the Early Childhood Outcomes of Preterm Brain Shape Abnormalities

TypeobservationalSponsorChildren's Hospital Los AngelesRan2018 to 2025Enrolled80ConditionsPremature Birth, Neurodevelopmental Disorders, Brain Development Abnormality, Brain LesionArmsMRI, Neurodevelopmental/Neuropsychological Assessment
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 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

8 authors at 4 institutions in 1 country.

N PaquetteDepartment of Radiology, University of Southern California and Children's Hospital of Los Angeles, CA, USA.
J ShiSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Y WangSchool of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Y LaoDepartment of Radiology, University of Southern California and Children's Hospital of Los Angeles, CA, USA.
R CeschinDepartment of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.
M D NelsonDepartment of Radiology, University of Southern California and Children's Hospital of Los Angeles, CA, USA.
A PanigrahyDepartment of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.
N LeporeDepartment of Radiology, University of Southern California and Children's Hospital of Los Angeles, CA, USA. Electronic address: nlepore@chla.usc.edu.
Arizona State University · USChildren's Hospital of Los Angeles · USChildren's Hospital of Pittsburgh · USUniversity of Southern California · US

Funding

LOS ANGELES BASIN CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR031986 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2010 to 2011
$21.1M
Multi-Source Sparse Learning to Identify MCI and Predict DeclineRF1AG051710 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THOMPSON, PAUL M, WANG, YALIN · 2016 to 2016
$2.8M
Advanced MR Imaging of Perinatal White Matter InjuryK23NS063371 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PANIGRAHY, ASHOK · 2009 to 2013
$846k
Statistical Methods for Brain Image Registration and Tensor-Based MorphometryR21EB012177 · NIBIB · CHILDREN'S HOSPITAL OF LOS ANGELES · PI LEPORE, NATASHA · 2011 to 2012
$478k
Empowering Diffusion MRI Measures by Integrating White and Grey Matter MorphologyR21AG049216 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, YALIN · 2015 to 2016
$381k
CIHRNCRR NIH HHS UL1 RR031986NIA NIH HHS R21 AG049216NIA NIH HHS RF1 AG051710NIBIB NIH HHS R21 EB012177NINDS NIH HHS K23 NS063371
6 · The paper itself

Abstract

Recent neuroimaging findings have highlighted the impact of premature birth on subcortical development and morphological changes in the deep grey nuclei and ventricular system. To help characterize subcortical microstructural changes in preterm neonates, we recently implemented a multivariate tensor-based method (mTBM). This method allows to precisely measure local surface deformation of brain structures in infants. Here, we investigated ventricular abnormalities and their spatial relationships with surrounding subcortical structures in preterm neonates. We performed regional group comparisons on the surface morphometry and relative position of the lateral ventricles between 19 full-term and 17 preterm born neonates at term-equivalent age. Furthermore, a relative pose analysis was used to detect individual differences in translation, rotation, and scale of a given brain structure with respect to an average. Our mTBM results revealed broad areas of alterations on the frontal horn and body of the left ventricle, and narrower areas of differences on the temporal horn of the right ventricle. A significant shift in the rotation of the left ventricle was also found in preterm neonates. Furthermore, we located significant correlations between morphology and pose parameters of the lateral ventricles and that of the putamen and thalamus. These results show that regional abnormalities on the surface and pose of the ventricles are also associated with alterations on the putamen and thalamus. The complementarity of the information provided by the surface and pose analysis may help to identify abnormal white and grey matter growth, hinting toward a pattern of neural and cellular dysmaturation.

Indexed as

Infant, PrematureFemaleHumansInfant, NewbornLateral VentriclesMagnetic Resonance ImagingMaleProspective StudiesPutamenThalamusLateral ventriclesMultivariate tensor-based morphometry (mTBM)PrematurityPutamenRelative poseThalamus

Identifiers

PMID28649491
PMCPMC5470570
OpenAlexW2619575567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.