Evidence map›Paper›PMID 27314214›Full record

Trial reportClinical imaging

Microstructural maturation of white matter tracts in encephalopathic neonates.

Akash P Kansagra, Marc C Mabray, Donna M Ferriero, A James Barkovich, Duan Xu, Christopher P Hess

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Clinical imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Neuroimaging in the term newborn with neonatal encephalopathy.Seminars in fetal & neonatal medicine · 2021
    Review
  4. [Brain tissue microstructure parameters estimation method based on proximal gradient network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  5. Review
  6. Future Directions for Examination of Brain Networks in Neurodevelopmental Disorders.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    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

6 authors at 2 institutions in 1 country.

Akash P KansagraMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd., Campus Box 8131, Saint Louis, MO 63110. Electronic address: apkansagra@gmail.com.
Marc C MabrayDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143.
Donna M FerrieroDepartments of Pediatrics and Neurology, University of California, San Francisco, 400 Parnassus Avenue, San Francisco, CA 94143.
A James BarkovichDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143; Departments of Pediatrics and Neurology, University of California, San Francisco, 400 Parnassus Avenue, San Francisco, CA 94143.
Duan XuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143.
Christopher P HessDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143.
University of California, San Francisco · USMallinckrodt (United States) · US

Funding

White matter injury as predictor of outcome in neonatal brain injuryP50NS035902 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIERO, DONNA M. · 1997 to 2012
$14.0M
Repair in High Risk Newborns with Congential Heart DiseaseP01NS082330 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI XU, DUAN · 2014 to 2018
$6.0M
Biomedical Imaging for Clinician ScientistsT32EB001631 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LINK · 2005 to 2026
$5.6M
Development of Advanced Techniques for MR of the Newborn BrainR01EB009756 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARKOVICH, ANTHONY JAMES, XU, DUAN · 2009 to 2013
$5.5M
MRI, MRSI, AND DTI OF BRAIN INJURY IN PRETERM NEONATESR01NS046432 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARKOVICH, ANTHONY JAMES · 2004 to 2013
$4.3M
Towards Baby Brain Connectome: a Study of Newborn Brain NetworksR01HD072074 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HESS, CHRISTOPHER PAUL, XU, DUAN · 2013 to 2017
$3.0M
NIBIB NIH HHS R01 EB009756NIBIB NIH HHS T32 EB001631NICHD NIH HHS R01 HD072074NINDS NIH HHS P01 NS082330NINDS NIH HHS P50 NS035902NINDS NIH HHS R01 NS046432
6 · The paper itself

Abstract

purposeThis study aims to apply neurite orientation dispersion and density imaging (NODDI) to measure white matter microstructural features during early development.

methodsNODDI parameters were measured in twelve newborns and thirteen 6-month infants, all with perinatal clinical encephalopathy.

resultsBetween 0 and 6 months, there were significant differences in fractional anisotropy (FA) for all tracts; in neurite density for internal capsules, optic radiations, and splenium; and in orientation dispersion for anterior limb of internal capsule and optic radiations. There were no appreciable differences in NODDI parameters related to outcome.

conclusionNODDI may allow more detailed characterization of microstructural maturation than FA.

Indexed as

Diffusion Tensor ImagingAnisotropyBrain DiseasesFemaleHumansInfantInfant, NewbornMaleNeuritesWhite MatterBrainDiffusion tensor imagingMagnetic resonance imagingMaturationMicrostructurePediatrics

Identifiers

PMID27314214
PMCPMC5010966
OpenAlexW2409770038

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.