Evidence map›Paper›PMID 28608653›Full record

ArticleHuman brain mapping2017

Complementary cortical gray and white matter developmental patterns in healthy, preterm neonates.

Vidya Rajagopalan, Julia A Scott, Mengyuan Liu, Kenneth Poskitt, Vann Chau, Steven Miller, Colin Studholme

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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.

Vidya RajagopalanChildren's Hospital Los Angeles, and Rudi Schulte Research Institute, Santa Barbara, California.ORCID 0000-0002-7871-6768
Julia A ScottDepartment of Neurology, University of California Davis, Davis, California.
Mengyuan LiuBiomedical Image Computing Group, Departments of Pediatrics, Bioengineering, and Radiology, University of Washington, Seattle, Washington.
Kenneth PoskittDepartment of Pediatrics, University of British Columbia, British Columbia, Canada.
Vann ChauDepartment of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Ontario, M5G 1X8, Canada.
Steven MillerDepartment of Pediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, Ontario, M5G 1X8, Canada.
Colin StudholmeBiomedical Image Computing Group, Departments of Pediatrics, Bioengineering, and Radiology, University of Washington, Seattle, Washington.
University of Toronto · CAUniversity of Washington · USUniversity of British Columbia · CAUniversity of California, Davis · US

Funding

Motion Robust Mapping of Human Brain Microstructure and Macrostructure In-UteroR01NS055064 · NINDS · UNIVERSITY OF WASHINGTON · PI STUDHOLME, COLIN · 2006 to 2017
$4.1M
Motion Robust Mapping of Human Brain Functional Connectivity Changes in UteroR01EB017133 · NIBIB · UNIVERSITY OF WASHINGTON · PI STUDHOLME, COLIN · 2013 to 2016
$2.5M
Mapping Patterns of Brain Tissue Growth in Premature NeonatesR01NS061957 · NINDS · UNIVERSITY OF WASHINGTON · PI STUDHOLME, COLIN · 2009 to 2013
$1.7M
CIHR MOP‐79262NIBIB NIH HHS R01 EB017133NINDS NIH HHS R01 NS055064NINDS NIH HHS R01 NS061957
6 · The paper itself

Abstract

Preterm birth is associated with brain injury and altered cognitive development. However, the consequences of extrauterine development are not clearly distinguished from perinatal brain injury. Therefore, we characterized cortical growth patterns from 30 to 46 postmenstrual weeks (PMW) in 27 preterm neonates (25-32 PMW at birth) without detectable brain injury on magnetic resonance imaging. We introduce surface-based morphometric descriptors that quantify radial (thickness) and tangential (area) change rates. Within a tensor-based morphometry framework, we use a temporally weighted formulation of regression to simultaneously model local age-related changes in cortical gray matter (GM) and underlying white matter (WM) mapped onto the cortical surface. The spatiotemporal pattern of GM and WM development corresponded to the expected gyrification time course of primary sulcal deepening and branching. In primary gyri, surface area and thickness rates were below average along sulcal pits and above average on gyral banks and crests in both GM and WM. Above average surface area rates in GM corresponded to emergence of secondary and tertiary folds. These findings map the development of neonatal cortical morphometry in the context of extrauterine brain development using a novel approach. Future studies may compare this developmental trajectory to preterm populations with brain injury. Hum Brain Mapp 38:4322-4336, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

BrainFemaleGray MatterHumansImaging, Three-DimensionalInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleOrgan SizeProspective StudiesWhite Matterbrain mappingMRIpreterm birth

Identifiers

PMID28608653
PMCPMC5546945
OpenAlexW2624867215

What OpenQuestion holds

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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.