Evidence map›Paper›PMID 21839473›Full record

ArticleThe Journal of pediatrics2012

Sensitive diffusion tensor imaging quantification method to identify language pathway abnormalities in children with developmental delay.

Sai Prasad Gopal, Vijay Narayan Tiwari, Amy L Veenstra, Ajay Kumar, Michael Behen, Harry T Chugani, Senthil K Sundaram

Abstract read
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Article in The Journal of pediatrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  4. Altered Structural Brain Networks in Tuberous Sclerosis Complex.Cerebral cortex (New York, N.Y. : 1991) · 2016
    Article
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sai Prasad GopalDepartment of Pediatrics and Neurology, Wayne State University School of Medicine, Detroit, MI, USA.
Vijay Narayan Tiwari
Amy L Veenstra
Ajay Kumar
Michael Behen
Harry T Chugani
Senthil K Sundaram

Funding

Diffusion tensor imaging biomarker in developmental delayR01HD059817 · NICHD · WAYNE STATE UNIVERSITY · PI SUNDARAM, SENTHIL · 2009 to 2014
$802k
NICHD NIH HHS 5R01HD059817-02NICHD NIH HHS R01 HD059817
6 · The paper itself

Abstract

objectiveTo investigate whether abnormal regional white matter architecture in the perisylvian region could be used as an easy and sensitive quantitative method to demonstrate language pathway abnormalities in children with developmental delay (DD). STUDY

designWe performed diffusion tensor imaging in 15 DD subjects (age, 61.1 ± 20.9 months) and 15 age-matched typically developing (TD) children (age, 68.4 ± 19.2 months). With diffusion tensor imaging color-coded orientation maps, we quantified the fraction of fibers in the perisylvian region that are oriented in anteroposterior (AP) and mediolateral (ML) directions, and their ratio (AP/ML) was calculated.

resultsThe AP/ML ratio was more sensitive than tractography in characterizing perisylvian regional abnormalities in DD children. The AP/ML ratio of the left perisylvian region was significantly lower in DD children compared with TD children (P = .03). The ML component of bilateral perisylvian regions was significantly higher in DD children compared with TD children (P = .01 [left] and P = .004 [right]). No significant difference was found in the AP component in the two groups. A significant negative correlation of the left ML component with Vineland communication skills was observed (r = -0.657, P = .011).

conclusionsThe AP/ML ratio appears to be a sensitive indicator of regional white matter architectural abnormalities in the perisylvian region of DD children.

Indexed as

Diffusion Tensor ImagingBrain MappingChildChild, PreschoolDevelopmental DisabilitiesFemaleHumansLanguage Development DisordersMaleNeuropsychological TestsSensitivity and Specificity

Identifiers

PMID21839473
PMCPMC3218229

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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.