Evidence map›Paper›PMID 25265017›Full record

ArticlePloS one2014

Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life.

Lucile Bompard, Shun Xu, Martin Styner, Beatriz Paniagua, Mihye Ahn, Ying Yuan, Valerie Jewells, Wei Gao, Dinggang Shen, Hongtu Zhu and 1 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Visualization of the periventricular Virchow-Robin spaces with ependymal openings.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
    Article
  4. Review
  5. Article
  6. Article
  7. Interpolation of Longitudinal Shape and Image Data via Optimal Mass Transport.Proceedings of SPIE--the International Society for Optical Engineering · 2014
    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

11 authors.

Lucile BompardBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Shun XuDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Martin StynerDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Beatriz PaniaguaDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Mihye AhnDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Ying YuanDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Valerie JewellsDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Wei GaoBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Dinggang ShenBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Hongtu ZhuBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Weili LinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America; Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

Funding

UNC CLINICAL AND TRANSLATIONAL SCIENCE AWARD: BPCAUL1RR025747 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$44.6M
Washington University ConsoritumU54EB005149 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 2004 to 2013
$39.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Prospective study of the onset of schizophreniaP50MH064065 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE · 2002 to 2011
$19.6M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BELGER, AYSENIL · 2013 to 2019
$8.0M
Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Characterization of Normal Brain Development Using Parallel MRIR01NS055754 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, WEILI · 2007 to 2011
$2.5M
Infant Brain Measurement and Super-Resolution Atlas ConstructionR01MH100217 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2013 to 2016
$2.3M
Assessing Large-scale Brain Connectivities in Mild Cognitive ImpairmentR01AG042599 · NIA · UNIVERSITY OF GEORGIA · PI LIU, TIANMING · 2013 to 2017
$1.4M
Fast, Robust Analysis of Large Population DataR01EB009634 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEN, DINGGANG · 2011 to 2014
$1.3M
NCI NIH HHS P01 CA142538NCI NIH HHS P01CA142538-01NCRR NIH HHS RR025747-01NCRR NIH HHS UL1 RR025747NIA NIH HHS R01 AG042599NIBIB NIH HHS EB005149-01NIBIB NIH HHS R01 EB009634NIBIB NIH HHS U54 EB005149NICHD NIH HHS U54 HD079124NIMH NIH HHS MH086633NIMH NIH HHS P50 MH064065NIMH NIH HHS R01 MH086633NIMH NIH HHS R01 MH100217NINDS NIH HHS R01 NS055754NINDS NIH HHS R01NS055754
6 · The paper itself

Abstract

backgroundLittle is known about the temporospatial shape characteristics of human lateral ventricles (LVs) during the first two years of life. This study aimed to delineate the morphological growth characteristics of LVs during early infancy using longitudinally acquired MR images in normal healthy infants.

methods24 healthy infants were MR imaged starting from 2 weeks old every 3 months during the first and every 6 months during the second year. Bilateral LVs were segmented and longitudinal morphological and shape analysis were conducted using longitudinal mixed effect models.

resultsA significant bilateral ventricular volume increase (p<0.0001) is observed in year one (Left: 126±51% and Right: 145±62%), followed by a significant reduction (p<0.02) during the second year of life (Left: -24±27% and Right: -20±18%) despite the continuing increase of intracranial volume. Morphological analysis reveals that the ventricular growth is spatially non-uniform, and that the most significant growth occurs during the first 6 months. The first 3 months of life exhibit a significant (p<0.01) bilateral lengthening of the anterior lateral ventricle and a significant increase of radius (p<0.01) and area (p<0.01) at the posterior portion of the ventricle. Shape analysis shows that the horns exhibit a faster growth rate than the mid-body. Finally, bilateral significant age effects (p<0.01) are observed for the growth of LVs whereas gender effects are more subtle and significant effects (p<0.01) only present at the left anterior and posterior horns. More importantly, both the age and gender effects are growth directionally dependent.

conclusionsWe have demonstrated the temporospatial shape growth characteristics of human LVs during the first two years of life using a unique longitudinal MR data set. A temporally and spatially non-uniform growth pattern was reported. These normative results could provide invaluable information to discern abnormal growth patterns in patients with neurodevelopmental disorders.

Indexed as

CerebrumChild, PreschoolFemaleHumansInfantLateral VentriclesMagnetic Resonance ImagingMaleMultivariate Analysis

Identifiers

PMID25265017
PMCPMC4180454

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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.