Evidence map›Paper›PMID 26550941›Full record

ArticleNeuroImage2016

Comparison of cortical folding measures for evaluation of developing human brain.

Joshua S Shimony, Christopher D Smyser, Graham Wideman, Dimitrios Alexopoulos, Jason Hill, John Harwell, Donna Dierker, David C Van Essen, Terrie E Inder, Jeffrey J Neil

Abstract readComparative Study
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

62 citing papers in PubMed, 119 citations in OpenAlex.

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  11. Measuring neuroplasticity in human development: the potential to inform the type and timing of mental health interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  12. Neural Correlates of Trait Impulsivity among Adult Healthy Individuals.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
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2 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: shimonyj@mir.wustl.edu.
Christopher D SmyserDepartment of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: smyserc@neuro.wustl.edu.
Graham WidemanBoston Children's Hospital, Department of Neurology, 333 Longwood Ave., Boston, MA 02115, USA. Electronic address: corticalfolding@grahamwideman.com.
Dimitrios AlexopoulosDepartment of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: alexopoulos_d@kids.wustl.edu.
Jason HillDepartment of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: jasonjasonhill@gmail.com.
John HarwellDepartment of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: jharwell@wustl.edu.
Donna DierkerDepartment of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: donna@brainvis.wustl.edu.
David C Van EssenDepartment of Anatomy and Neurobiology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: vanessen@wustl.edu.
Terrie E InderDepartment of Pediatrics, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: tinder@partners.org.
Jeffrey J NeilDepartment of Pediatric Neurology, Washington University School of Medicine, 660 South Euclid Ave., St. Louis, MO 63110, USA. Electronic address: jeffrey.neil@childrens.harvard.edu.
Washington University in St. Louis · USBoston Children's Hospital · USMallinckrodt (United States) · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI CONSTANTINO, JOHN N. · 2015 to 2019
$7.1M
Washington University Intellectual and Developmental Disabilities Research CenterP30HD062171 · NICHD · WASHINGTON UNIVERSITY · PI CONSTANTINO, JOHN N. · 2010 to 2014
$4.3M
UNDERSTANDING NEUROBEHAVIORAL DEFICITS IN PRETERM INFANTS THROUGH IMAGINGR01HD057098 · NICHD · WASHINGTON UNIVERSITY · PI INDER, TERRIE E, NEIL, JEFFREY J. · 2008 to 2012
$2.9M
PREDICTING CHILDHOOD OUTCOMES IN PRETERM INFANTS USING CEREBRAL CONNECTIVITYK02NS089852 · NINDS · WASHINGTON UNIVERSITY · PI SMYSER, CHRISTOPHER DANIEL · 2014 to 2018
$848k
NCATS NIH HHS UL1 TR000448NICHD NIH HHS P30 HD062171NICHD NIH HHS R01 HD057098NICHD NIH HHS R01 HD05709801NICHD NIH HHS U54 HD087011NIMH NIH HHS R01 MH060974NINDS NIH HHS K02 NS089852
6 · The paper itself

Abstract

We evaluated 22 measures of cortical folding, 20 derived from local curvature (curvature-based measures) and two based on other features (sulcal depth and gyrification index), for their capacity to distinguish between normal and aberrant cortical development. Cortical surfaces were reconstructed from 12 term-born control and 63 prematurely-born infants. Preterm infants underwent 2-4 MR imaging sessions between 27 and 42weeks postmenstrual age (PMA). Term infants underwent a single MR imaging session during the first postnatal week. Preterm infants were divided into two groups. One group (38 infants) had no/minimal abnormalities on qualitative assessment of conventional MR images. The second group (25 infants) consisted of infants with injury on conventional MRI at term equivalent PMA. For both preterm infant groups, all folding measures increased or decreased monotonically with increasing PMA, but only sulcal depth and gyrification index differentiated preterm infants with brain injury from those without. We also compared scans obtained at term equivalent PMA (36-42weeks) for all three groups. No curvature-based measured distinguished between the groups, whereas sulcal depth distinguished term control from injured preterm infants and gyrification index distinguished all three groups. When incorporating total cerebral volume into the statistical model, sulcal depth no longer distinguished between the groups, though gyrification index distinguished between all three groups and positive shape index distinguished between the term control and uninjured preterm groups. We also analyzed folding measures averaged over brain lobes separately. These results demonstrated similar patterns to those obtained from the whole brain analyses. Overall, though the curvature-based measures changed during this period of rapid cerebral development, they were not sensitive for detecting the differences in folding associated with brain injury and/or preterm birth. In contrast, gyrification index was effective in differentiating these groups.

Indexed as

Brain MappingCerebral CortexFemaleHumansImage Processing, Computer-AssistedInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleBrain injuryCortical curvatureCortical foldingPremature infant

Identifiers

PMID26550941
PMCPMC4691428
OpenAlexW2150970214

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.