Evidence map›Paper›PMID 28111189›Full record

ArticleNeuroImage2017

Mapping the critical gestational age at birth that alters brain development in preterm-born infants using multi-modal MRI.

Dan Wu, Linda Chang, Kentaro Akazawa, Kumiko Oishi, Jon Skranes, Thomas Ernst, Kenichi Oishi

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Article
  8. A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2019
    Article
  9. Baby brain atlases.NeuroImage · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Cerebral White Matter Maturation Patterns in Preterm Infants: An MRI T2 Relaxation Anisotropy and Diffusion Tensor Imaging Study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018
    Article
  15. Article
  16. Article
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

7 authors at 2 institutions in 2 countries.

Dan WuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Linda ChangDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Kentaro AkazawaDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kumiko OishiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jon SkranesDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway.
Thomas ErnstDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Kenichi OishiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: koishi2@jhmi.edu.
Johns Hopkins University · USUniversity of Hawaiʻi at Mānoa · US

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BARKER, PETER B · 2012 to 2020
$13.1M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Development of quantitative MRI DTI analysis tool for preterm neonateR01HD065955 · NICHD · JOHNS HOPKINS UNIVERSITY · PI OISHI, KENICHI · 2011 to 2015
$2.3M
Neuroimaging and Mentoring in Drug Abuse ResearchK24DA016170 · NIDA · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2003 to 2013
$1.8M
In-utero characterization of embryonic mouse brain development and injury with MRIR21NS098018 · NINDS · JOHNS HOPKINS UNIVERSITY · PI WU, DAN · 2016 to 2017
$461k
NIBIB NIH HHS P41 EB015909NICHD NIH HHS R01 HD065955NIDA NIH HHS K24 DA016170NIMHD NIH HHS G12 MD007601NINDS NIH HHS R21 NS098018NINDS NIH HHS U54 NS056883
6 · The paper itself

Abstract

Preterm birth adversely affects postnatal brain development. In order to investigate the critical gestational age at birth (GAB) that alters the developmental trajectory of gray and white matter structures in the brain, we investigated diffusion tensor and quantitative T2 mapping data in 43 term-born and 43 preterm-born infants. A novel multivariate linear model-the change point model, was applied to detect change points in fractional anisotropy, mean diffusivity, and T2 relaxation time. Change points captured the "critical" GAB value associated with a change in the linear relation between GAB and MRI measures. The analysis was performed in 126 regions across the whole brain using an atlas-based image quantification approach to investigate the spatial pattern of the critical GAB. Our results demonstrate that the critical GABs are region- and modality-specific, generally following a central-to-peripheral and bottom-to-top order of structural development. This study may offer unique insights into the postnatal neurological development associated with differential degrees of preterm birth.

Indexed as

Gestational AgeBrainBrain MappingFemaleHumansInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleChange point analysisDiffusion MRIGestational age at birthNeonatal brain atlasPreterm birthT2 mapping

Identifiers

PMID28111189
PMCPMC5367973
OpenAlexW2577122837

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.