Evidence map›Paper›PMID 35401073›Full record

ArticleFrontiers in neuroscience2022

Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations.

Sarah J Short, Dae Kun Jang, Rachel J Steiner, Rebecca L Stephens, Jessica B Girault, Martin Styner, John H Gilmore

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Sarah J ShortDepartment of Educational Psychology, University of Wisconsin-Madison, Madison, WI, United States.
Dae Kun JangCenter for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States.
Rachel J SteinerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rebecca L StephensDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jessica B GiraultDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Martin StynerDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
John H GilmoreDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
University of North Carolina at Chapel Hill · USUniversity of Wisconsin–Madison · US

Funding

Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark D Shen · 2020 to 2026
$9.7M
Genetic Liability for Autism and Infant Brain and Behavioral DevelopmentK01MH122779 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GIRAULT, JESSICA BULLINS · 2020 to 2024
$919k
NICHD NIH HHS P50 HD103573NIMH NIH HHS K01 MH122779NIMH NIH HHS L40 MH127628
6 · The paper itself

Abstract

Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches. These methods generally lack the sensitivity and spatial specificity of more advanced functional analysis options that provide information about microstructural properties of white matter along fiber bundles. DTI studies of early postnatal brain development show that profound microstructural and maturational changes take place during the first two years of life. The pattern and rate of these changes vary greatly throughout the brain during this time compared to the rest of the life span. For this reason, appropriate image processing of infant MR imaging requires the use of age-specific reference atlases. This article provides an overview of the pre-processing, atlas building, and the fiber tractography procedures used to generate two atlas resources, one for neonates and one for 1- to 2-year-old populations.

Indexed as

computational atlasDTIinfantMRIneuroimagingpediatricwhite matter tracts

Identifiers

PMID35401073
PMCPMC8985548
OpenAlexW4221117101

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.