Evidence map›Paper›PMID 30059733›Full record

ReviewNeuroImage2019

Neonatal brain injury and aberrant connectivity.

Christopher D Smyser, Muriah D Wheelock, David D Limbrick, Jeffrey J Neil

Registry-linked trialAbstract readReview
In one paragraph

Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05514665 (A Prospective Feasibility Study to Derive Novel Imaging Biomarker of Perinatal Brain Injury Based on Bedside Diffuse Optical Tomography in Neonates), which is not on this map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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.

NCT05514665 unknown statusnot on this mapstarted 2024, after this paper: background citation

A Prospective Feasibility Study to Derive Novel Imaging Biomarker of Perinatal Brain Injury Based on Bedside Diffuse Optical Tomography in Neonates

TypeobservationalSponsorHamilton Health Sciences CorporationRan2024 to 2026Enrolled25ConditionsHypoxia Ischemia, Cerebral, Hypoxia-Ischemia, Brain, Hypoxia Neonatal, Hypoxic-Ischemic EncephalopathyArmsDiffuse Optical Tomography
3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

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  19. Preterm birth: A neuroinflammatory origin for metabolic diseases?Brain, behavior, & immunity - health · 2024
    Review
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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

4 authors.

Christopher D SmyserDepartments of Neurology, Pediatrics and Radiology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, St. Louis, MO, 63110, USA. Electronic address: smyserc@wustl.edu.
Muriah D WheelockDepartment of Psychiatry, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8134, St. Louis, MO, 63110, USA. Electronic address: mdwheelock@wustl.edu.
David D LimbrickDepartments of Neurosurgery and Pediatrics, Washington University School of Medicine, One Children's Place, Suite S20, St. Louis, MO, 63110, USA. Electronic address: limbrickd@wustl.edu.
Jeffrey J NeilDepartment of Pediatric Neurology, Boston Children's Hospital, 300 Longwood Avenue, BCH3443, Boston, MA, 02115, USA. Electronic address: jeffrey.neil@childrens.harvard.edu.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Optimizing prediction of preschool psychopathology from brain: behavior markers of emotion dysregulation from birth: A computational, developmental cognitive neuroscience approachR01MH121877 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LUBY, JOAN L., ROGERS, CYNTHIA ELISE · 2020 to 2024
$8.2M
Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI MOLEY, KELLE H · 2015 to 2019
$7.1M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Trajectories of Cortico-Cerebellar Connectivity, Social Competence, and Internalizing Symptoms in Adolescents Born Very PretermR37MH113570 · NIMH · WASHINGTON UNIVERSITY · PI CYNTHIA Elise ROGERS, Christopher Daniel Smyser · 2022 to 2026
$3.8M
THE PRETERM BEHAVIORAL PHENOTYPE: TRAJECTORIES OF PSYCHOPATHOLOGY & CHANGES IN CEREBRAL CONNECTIVITYR01MH113570 · NIMH · WASHINGTON UNIVERSITY · PI ROGERS, CYNTHIA ELISE, SMYSER, CHRISTOPHER DANIEL · 2017 to 2021
$3.1M
PREDICTING CHILDHOOD OUTCOMES IN PRETERM INFANTS USING CEREBRAL CONNECTIVITYK02NS089852 · NINDS · WASHINGTON UNIVERSITY · PI SMYSER, CHRISTOPHER DANIEL · 2014 to 2018
$848k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NICHD NIH HHS U54 HD087011NIMH NIH HHS R01 MH113570NIMH NIH HHS R01 MH121877NIMH NIH HHS R37 MH113570NIMH NIH HHS T32 MH100019NINDS NIH HHS K02 NS089852
6 · The paper itself

Abstract

Brain injury sustained during the neonatal period may disrupt development of critical structural and functional connectivity networks leading to subsequent neurodevelopmental impairment in affected children. These networks can be characterized using structural (via diffusion MRI) and functional (via resting state-functional MRI) neuroimaging techniques. Advances in neuroimaging have led to expanded application of these approaches to study term- and prematurely-born infants, providing improved understanding of cerebral development and the deleterious effects of early brain injury. Across both modalities, neuroimaging data are conducive to analyses ranging from characterization of individual white matter tracts and/or resting state networks through advanced 'connectome-style' approaches capable of identifying highly connected network hubs and investigating metrics of network topology such as modularity and small-worldness. We begin this review by summarizing the literature detailing structural and functional connectivity findings in healthy term and preterm infants without brain injury during the postnatal period, including discussion of early connectome development. We then detail common forms of brain injury in term- and prematurely-born infants. In this context, we next review the emerging body of literature detailing studies employing diffusion MRI, resting state-functional MRI and other complementary neuroimaging modalities to characterize structural and functional connectivity development in infants with brain injury. We conclude by reviewing technical challenges associated with neonatal neuroimaging, highlighting those most relevant to studying infants with brain injury and emphasizing the need for further targeted study in this high-risk population.

Indexed as

Brain InjuriesConnectomeFemaleHumansInfant, NewbornMaleNeural PathwaysWhite MatterBrain injuryFunctional connectivityInfantMagnetic resonance imagingPrematurityStructural connectivity

Identifiers

PMID30059733
PMCPMC6289815

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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.