Evidence map›Paper›PMID 26279309›Full record

ArticleHuman brain mapping2015

Assessing hippocampal development and language in early childhood: Evidence from a new application of the Automatic Segmentation Adapter Tool.

Joshua K Lee, Christine W Nordahl, David G Amaral, Aaron Lee, Marjorie Solomon, Simona Ghetti

Abstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Review
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  7. Article
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  9. Article
  10. Understanding Hippocampal Development in Young Children With Autism Spectrum Disorder.Journal of the American Academy of Child and Adolescent Psychiatry · 2020
    Article
  11. Article
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  19. Memory-related hippocampal activation in the sleeping toddler.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. 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

6 authors.

Joshua K LeeDepartment of Psychology, University of California, Davis, California.
Christine W NordahlMIND Institute, University of California, Davis, California.
David G AmaralMIND Institute, University of California, Davis, California.
Aaron LeeMIND Institute, University of California, Davis, California.
Marjorie SolomonMIND Institute, University of California, Davis, California.
Simona GhettiDepartment of Psychology, University of California, Davis, California.

Funding

UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
Center for Genomic and Phenomic Studies in AutismU24MH081810 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAJONCHERE, CLARA M · 2007 to 2011
$8.3M
STUDIES OF NEURONAL SPECIFICITY IN THE HIPPOCAMPUSR01NS016980 · NINDS · UNIVERSITY OF CALIFORNIA DAVIS · PI AMARAL, DAVID G · 1985 to 2015
$6.7M
Predictors of Cognitive Development in Autism Spectrum DisorderR01MH103284 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SOLOMON, MARJORIE · 2014 to 2024
$6.3M
Neural Phenotypes of Females with Autism Spectrum DisorderR01MH104438 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NORDAHL, CHRISTINE WU · 2014 to 2018
$3.5M
Neurodevelopment of cognitive control in autism: adolescence to young adulthoodR01MH106518 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SOLOMON, MARJORIE · 2016 to 2020
$3.1M
Interdisciplinary Investigation of Biological Signatures of Autism SubtypesR01MH089626 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AMARAL, DAVID G, ROGERS, SALLY J · 2009 to 2010
$2.8M
Role of the Hippocampus and its Projections in Episodic Memory DevelopmentR01MH091109 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BUNGE, SILVIA A., GHETTI, SIMONA · 2011 to 2015
$2.7M
Analyses of Brain Structure and Connectivity in Young Children with AutismR00MH085099 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NORDAHL, CHRISTINE WU · 2011 to 2013
$710k
NIEHS NIH HHS P01 ES011269NIMH NIH HHS R00 MH085099NIMH NIH HHS R01 MH089626NIMH NIH HHS R01 MH091109NIMH NIH HHS R01MH091109NIMH NIH HHS R01 MH103284NIMH NIH HHS R01 MH104438NIMH NIH HHS R01 MH106518NIMH NIH HHS U24 MH081810NINDS NIH HHS R01 NS016980NINDS NIH HHS R01 NS16980
6 · The paper itself

Abstract

Volumetric assessments of the hippocampus and other brain structures during childhood provide useful indices of brain development and correlates of cognitive functioning in typically and atypically developing children. Automated methods such as FreeSurfer promise efficient and replicable segmentation, but may include errors which are avoided by trained manual tracers. A recently devised automated correction tool that uses a machine learning algorithm to remove systematic errors, the Automatic Segmentation Adapter Tool (ASAT), was capable of substantially improving the accuracy of FreeSurfer segmentations in an adult sample [Wang et al., 2011], but the utility of ASAT has not been examined in pediatric samples. In Study 1, the validity of FreeSurfer and ASAT corrected hippocampal segmentations were examined in 20 typically developing children and 20 children with autism spectrum disorder aged 2 and 3 years. We showed that while neither FreeSurfer nor ASAT accuracy differed by disorder or age, the accuracy of ASAT corrected segmentations were substantially better than FreeSurfer segmentations in every case, using as few as 10 training examples. In Study 2, we applied ASAT to 89 typically developing children aged 2 to 4 years to examine relations between hippocampal volume, age, sex, and expressive language. Girls had smaller hippocampi overall, and in left hippocampus this difference was larger in older than younger girls. Expressive language ability was greater in older children, and this difference was larger in those with larger hippocampi, bilaterally. Overall, this research shows that ASAT is highly reliable and useful to examinations relating behavior to hippocampal structure.

Indexed as

Language DevelopmentMachine LearningAlgorithmsAutism Spectrum DisorderChild, PreschoolFemaleHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleSex Factorsautismdevelopmentfreesurferhippocampuslanguagemethodssegmentationsegmentation adapter

Identifiers

PMID26279309
PMCPMC4913550

What OpenQuestion holds

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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.