Evidence map›Paper›PMID 26712341›Full record

ArticleNeuroImage2016

Probabilistic maps of the white matter tracts with known associated functions on the neonatal brain atlas: Application to evaluate longitudinal developmental trajectories in term-born and preterm-born infants.

Kentaro Akazawa, Linda Chang, Robyn Yamakawa, Sara Hayama, Steven Buchthal, Daniel Alicata, Tamara Andres, Deborrah Castillo, Kumiko Oishi, Jon Skranes and 2 more

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 58 citations in OpenAlex.

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  17. [Investigation and validation of magnetic resonance white matter atlas for 0 to 2 years old infants].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
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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

12 authors at 3 institutions in 2 countries.

Kentaro AkazawaDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Linda ChangDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Robyn YamakawaDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Sara HayamaDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Steven BuchthalDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Daniel AlicataDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Tamara AndresDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Deborrah CastilloDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Kumiko OishiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jon SkranesDepartment of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway.
Thomas ErnstDepartment of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
Kenichi OishiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: koishi@mri.jhu.edu.
University of Hawaiʻi at Mānoa · USJohns Hopkins University · USNorwegian University of Science and Technology · NO

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BARKER, PETER B · 2012 to 2020
$13.1M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
Imaging Studies in Neurotoxicity and NeurodevelopmentU54NS056883 · NINDS · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2007 to 2011
$8.4M
Development of quantitative MRI DTI analysis tool for preterm neonateR01HD065955 · NICHD · JOHNS HOPKINS UNIVERSITY · PI OISHI, KENICHI · 2011 to 2015
$2.3M
Neuroimaging and Mentoring in Drug Abuse ResearchK24DA016170 · NIDA · UNIVERSITY OF HAWAII AT MANOA · PI CHANG, LINDA · 2003 to 2013
$1.8M
NCATS NIH HHS 1UL1TR001079NCATS NIH HHS UL1 TR001079NIBIB NIH HHS P41 EB015909NIBIB NIH HHS P41EB015909NICHD NIH HHS R01 HD065955NICHD NIH HHS R01HD065955NIDA NIH HHS 2K24DA16170NIDA NIH HHS K24 DA016170NIMHD NIH HHS G12 MD007601NIMHD NIH HHS G12MD007601-26NINDS NIH HHS U54 NS056883NINDS NIH HHS U54NS056883
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) has been widely used to investigate the development of the neonatal and infant brain, and deviations related to various diseases or medical conditions like preterm birth. In this study, we created a probabilistic map of fiber pathways with known associated functions, on a published neonatal multimodal atlas. The pathways-of-interest include the superficial white matter (SWM) fibers just beneath the specific cytoarchitectonically defined cortical areas, which were difficult to evaluate with existing DTI analysis methods. The Jülich cytoarchitectonic atlas was applied to define cortical areas related to specific brain functions, and the Dynamic Programming (DP) method was applied to delineate the white matter pathways traversing through the SWM. Probabilistic maps were created for pathways related to motor, somatosensory, auditory, visual, and limbic functions, as well as major white matter tracts, such as the corpus callosum, the inferior fronto-occipital fasciculus, and the middle cerebellar peduncle, by delineating these structures in eleven healthy term-born neonates. In order to characterize maturation-related changes in diffusivity measures of these pathways, the probabilistic maps were then applied to DTIs of 49 healthy infants who were longitudinally scanned at three time-points, approximately five weeks apart. First, we investigated the normal developmental pattern based on 19 term-born infants. Next, we analyzed 30 preterm-born infants to identify developmental patterns related to preterm birth. Last, we investigated the difference in diffusion measures between these groups to evaluate the effects of preterm birth on the development of these functional pathways. Term-born and preterm-born infants both demonstrated a time-dependent decrease in diffusivity, indicating postnatal maturation in these pathways, with laterality seen in the corticospinal tract and the optic radiation. The comparison between term- and preterm-born infants indicated higher diffusivity in the preterm-born infants than in the term-born infants in three of these pathways: the body of the corpus callosum; the left inferior longitudinal fasciculus; and the pathway connecting the left primary/secondary visual cortices and the motion-sensitive area in the occipitotemporal visual cortex (V5/MT+). Probabilistic maps provided an opportunity to investigate developmental changes of each white matter pathway. Whether alterations in white matter pathways can predict functional outcomes will be further investigated in a follow-up study.

Indexed as

Anatomy, ArtisticAtlases as TopicBrainBrain MappingDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornInfant, PrematureMaleNeural PathwaysNeurogenesisProbabilityTerm BirthDiffusion tensor imagingFunctional pathwayNeonatePreterm birthProbabilistic mapTractography

Identifiers

PMID26712341
PMCPMC4762721
OpenAlexW2216172944

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.