Evidence map›Paper›PMID 29149383›Full record

ReviewChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2017

Diffusion MRI in pediatric brain injury.

Emily L Dennis, Talin Babikian, Christopher C Giza, Paul M Thompson, Robert F Asarnow

Abstract readReview
In one paragraph

Review in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  20. Multimodal Sparse Classifier for Adolescent Brain Age Prediction.IEEE journal of biomedical and health informatics · 2020
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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

5 authors at 3 institutions in 1 country.

Emily L DennisImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. emily.dennis@ini.usc.edu.ORCID http://orcid.org/0000-0001-7112-4009
Talin BabikianDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Christopher C GizaUCLA Brain Injury Research Center, Dept of Neurosurgery and Division of Pediatric Neurology, Mattel Children's Hospital, Los Angeles, CA, USA.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Robert F AsarnowDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Imaging Center · USLAC+USC Medical Center · USMattel Children's Hospital · US

Funding

TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Using glutamatergic pharmacotherapy to optimize TBI recoveryR01NS027544 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOVDA, DAVID A · 1990 to 2017
$3.8M
Reconnection of Neural Networks and Cognitive Recovery after Pediatric TBIR01HD061504 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASARNOW, ROBERT F · 2010 to 2014
$2.9M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Predicting Brain Changes in HIV/AIDSR01NS080655 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NAVIA, BRADFORD, THOMPSON, PAUL M · 2012 to 2015
$2.3M
Longitudinal Tracking of Traumatic Brain Injury: Advanced ConnectomicsK99NS096116 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DENNIS, EMILY LARSEN · 2016 to 2017
$176k
National Institute of Child Health and Human Development HD061504National Institute of Neurological Disorders and Stroke NS096116National Institutes of Health AG040060National Institutes of Health EB020403National Institutes of Health NS027544National Institutes of Health NS080655NIA NIH HHS R01 AG040060NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020403NICHD NIH HHS R01 HD061504NINDS NIH HHS K99 NS096116NINDS NIH HHS R01 NS027544NINDS NIH HHS R01 NS080655
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a major public health issue around the world and can be especially devastating in children as TBI can derail cognitive and social development. White matter (WM) is particularly vulnerable to disruption post-TBI, as myelination is ongoing during this period. Diffusion magnetic resonance imaging (dMRI) is a versatile modality for identifying and quantifying WM disruption and can detect diffuse axonal injury (DAI or TAI (traumatic axonal injury)). This review covers dMRI studies of pediatric TBI, including mild to severe injuries, and covering all periods post-injury. While there have been considerable advances in our understanding of pediatric TBI through the use of dMRI, there are still large gaps in our knowledge, which will be filled in by larger studies and more longitudinal studies. Heterogeneity post-injury is an obstacle in all TBI studies, but we expect that larger better-characterized samples will aid in identifying clinically meaningful subgroups within the pediatric TBI patient population.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedPediatricsBrain InjuriesChildChild, PreschoolHumansConcussionDiffuse axonal injuryDiffusion MRIPediatricTraumatic brain injury

Identifiers

PMID29149383
PMCPMC6482947
OpenAlexW2751142201

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.