Evidence map›Paper›PMID 28516143›Full record

ArticleData in brief2017

Change-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infants.

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

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Baby brain atlases.NeuroImage · 2019
    Review
  4. Article
  5. 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 4 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.
Johns Hopkins Medicine · USUniversity of Hawaiʻi at Mānoa · USJohns Hopkins University · USNorwegian University of Science and Technology · NO

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

The data presented in this article are related to the research article entitled "Mapping the Critical Gestational Age at Birth that Alters Brain Development in Preterm-born Infants using Multi-Modal MRI" (Wu et al., 2017) [1]. Brain immaturity at birth poses critical neurological risks in the preterm-born infants. We used a novel change-point model to analyze the critical gestational age at birth (GAB) that could affect postnatal development, based on diffusion tensor MRI (DTI) acquired from 43 preterm and 43 term-born infants in 126 brain regions. In the corresponding research article, we presented change-point analysis of fractional anisotropy (FA) and mean diffusivities (MD) measurements in these infants. In this article, we offered the relative changes of axonal and radial diffusivities (AD and RD) in relation to the change of FA and FA-based change-points, and we also provided the AD- and RD-based change-point results.

Indexed as

Axial diffusivityChange-point analysisNeonatal brain MRIPreterm-born infantsRadial diffusivity

Identifiers

PMID28516143
PMCPMC5426014
OpenAlexW2605482339

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.