Evidence map›Paper›PMID 18064588›Full record

ArticleHuman brain mapping2009

Detecting brain growth patterns in normal children using tensor-based morphometry.

Xue Hua, Alex D Leow, Jennifer G Levitt, Rochelle Caplan, Paul M Thompson, Arthur W Toga

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 78 citations in OpenAlex.

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  14. Putamen Development in Children 12 to 21 Months Old.Proceedings of SPIE--the International Society for Optical Engineering · 2016
    Article
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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

6 authors at 1 institution in 1 country.

Xue HuaLaboratory of Neuro Imaging, Brain Mapping Division, Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles, CA 90095-7334, USA.
Alex D Leow
Jennifer G Levitt
Rochelle Caplan
Paul M Thompson
Arthur W Toga
University of California, Los Angeles · US

Funding

ZDV &3TC NEVIRAPINE COMBINATION THERAPY IN HIV 1 INFECTED INFANTS &M01RR000865 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WASHINGTON, ARNOLD E. · 1985 to 2011
$43.4M
Center for Computational Biology (RMI)U54RR021813 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2004 to 2010
$25.3M
YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GEE, JAMES C · 1998 to 2011
$21.9M
Neuroimaging and Symptom Domains in AutismR01NS046018 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEVITT, JENNIFER G · 2003 to 2007
$2.1M
Pediatric Thought Disorder: Insights from NeuroimagingR01MH067187 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAPLAN, ROCHELLE · 2003 to 2006
$1.9M
THOUGHT DISORDER: A DEVELOPMENTAL DISABILITY IN EPILEPSYR01NS032070 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAPLAN, ROCHELLE · 1994 to 2003
$1.7M
BIOLOGICAL BASIS OF SOCIAL COMMUNICATION DISORDERSK08MH001385 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEVITT, JENNIFER G · 1997 to 2001
$300k
NCRR NIH HHS M01 RR000865NCRR NIH HHS P41 RR013642NCRR NIH HHS U54 RR021813NIMH NIH HHS 5K08 MH01385NIMH NIH HHS MH067187NIMH NIH HHS R01 MH067187NINDS NIH HHS 5R01 NS046018NINDS NIH HHS NS32070NINDS NIH HHS R01 NS032070NINDS NIH HHS R01 NS046018
6 · The paper itself

Abstract

Previous magnetic resonance imaging (MRI)-based volumetric studies have shown age-related increases in the volume of total white matter and decreases in the volume of total gray matter of normal children. Recent adaptations of image analysis strategies enable the detection of human brain growth with improved spatial resolution. In this article, we further explore the spatio-temporal complexity of adolescent brain maturation with tensor-based morphometry. By utilizing a novel non-linear elastic intensity-based registration algorithm on the serial structural MRI scans of 13 healthy children, individual Jacobian growth maps are generated and then registered to a common anatomical space. Statistical analyses reveal significant tissue growth in cerebral white matter, contrasted with gray matter loss in parietal, temporal, and occipital lobe. In addition, a linear regression with age and gender suggests a slowing down of the growth rate in regions with the greatest white matter growth. We demonstrate that a tensor-based Jacobian map is a sensitive and reliable method to detect regional tissue changes during development.

Indexed as

AdolescentAge FactorsAgingAlgorithmsAnthropometryBrainBrain MappingChildDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve Fibers, MyelinatedNonlinear Dynamics

Identifiers

PMID18064588
PMCPMC2975704
OpenAlexW2067817931

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.