Evidence map›Paper›PMID 31178618›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2016

Putamen Development in Children 12 to 21 Months Old.

Roza Vlasova, Niharika Gajawelli, Yalin Wang, Holly Dirks, Douglas Dean, Jonathan O'Muircheartaigh, Yi Lao, James Yoon, Marvin D Nelson, Sean Deoni and 1 more

Abstract read
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In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Roza VlasovaCIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.
Niharika GajawelliCIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.
Yalin WangDepartment of Computer Science, Arizona State University, AZ, USA.
Holly DirksDepartment of Biomedical Engineering, Brown University, RI, USA.
Douglas DeanDepartment of Biomedical Engineering, Brown University, RI, USA.
Jonathan O'MuircheartaighDepartment of Biomedical Engineering, Brown University, RI, USA.
Yi LaoCIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.
James YoonCIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.
Marvin D NelsonDepartment of Radiology, University of Southern California, CA, USA.
Sean DeoniDepartment of Pediatric Radiology Research, Children's Hospital Colorado, CO, USA.
Natasha LeporeCIBORG Lab, Department of Radiology, Children's Hospital Los Angeles, CA, USA.

Funding

Statistical Methods for Brain Image Registration and Tensor-Based MorphometryR21EB012177 · NIBIB · CHILDREN'S HOSPITAL OF LOS ANGELES · PI LEPORE, NATASHA · 2011 to 2012
$478k
NIBIB NIH HHS R21 EB012177
6 · The paper itself

Abstract

We studied the developmental trajectory of the putamen in 13-21 months old children using multivariate surface tensor-based morphometry. Our results indicate surface changes between 12 and 15 months' age groups in the middle superior part the left putamen. The growth of the left putamen at earlier ages slows down after 15 months. The most important surface changes were detected in the right putamen between 18 and 21 months and were located in the anterior part of the structure. Our results demonstrate the heterochronic growth of the right and left putamen related to different functional subregions within putamen. Our results are compatible with previous studies devoted to total putamen volume changes during normal development.

Indexed as

brain developmentheterochronyMRIPutamensurface-based morphometrytensor-based morphometry

Identifiers

PMID31178618
PMCPMC6554205

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Registered trials

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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.