Evidence map›Paper›PMID 26996400›Full record

ArticleHuman brain mapping2016

Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry.

Andrew Melbourne, Zach Eaton-Rosen, Eliza Orasanu, David Price, Alan Bainbridge, M Jorge Cardoso, Giles S Kendall, Nicola J Robertson, Neil Marlow, Sebastien Ourselin

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  14. Magnetic Resonance of Myelin Water: AnBrain plasticity (Amsterdam, Netherlands) · 2016
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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

10 authors at 3 institutions in 2 countries.

Andrew MelbourneCentre for Medical Image Computing (CMIC), University College London, United Kingdom.
Zach Eaton-RosenCentre for Medical Image Computing (CMIC), University College London, United Kingdom.
Eliza OrasanuCentre for Medical Image Computing (CMIC), University College London, United Kingdom.
David PriceMedical Physics, University College Hospital, London, United Kingdom.
Alan BainbridgeMedical Physics, University College Hospital, London, United Kingdom.
M Jorge CardosoCentre for Medical Image Computing (CMIC), University College London, United Kingdom.
Giles S KendallMedical Physics, University College Hospital, London, United Kingdom.
Nicola J RobertsonAcademic Neonatology, EGA UCL Institute for Women's Health, London, United Kingdom.
Neil MarlowAcademic Neonatology, EGA UCL Institute for Women's Health, London, United Kingdom.
Sebastien OurselinCentre for Medical Image Computing (CMIC), University College London, United Kingdom.
University College London · GBInstitute for Reproductive Health · USUniversity College Hospital · GB

Funding

Medical Research Council G0401525Medical Research Council MR/J01107X/1
6 · The paper itself

Abstract

Infants born prematurely are at increased risk of adverse neurodevelopmental outcome. The measurement of white matter tissue composition and structure can help predict functional performance. Specifically, measurements of myelination and indicators of myelination status in the preterm brain could be predictive of later neurological outcome. Quantitative imaging of myelin could thus serve to develop biomarkers for prognosis or therapeutic intervention; however, accurate estimation of myelin content is difficult. This work combines diffusion MRI and multi-component T2 relaxation measurements in a group of 37 infants born very preterm and scanned between 27 and 58 weeks equivalent gestational age. Seven infants have longitudinal data at two time points that we analyze in detail. Our aim is to show that measurement of the myelin water fraction is achievable using widely available pulse sequences and state-of-the-art algorithmic modeling of the MR imaging procedure and that a multi-component fitting routine to multi-shell diffusion weighted data can show differences in neurite density and local spatial arrangement in grey and white matter. Inference on the myelin water fraction allows us to demonstrate that the change in diffusion properties of the preterm thalamus is not solely due to myelination (that increase in myelin content accounts for about a third of the observed changes) whilst the decrease in the posterior white matter T2 has no significant component that is due to myelin water content. This work applies multi-modal advanced quantitative neuroimaging to investigate changing tissue properties in the longitudinal setting. Hum Brain Mapp 37:2479-2492, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

Aspartic AcidCholineCross-Sectional StudiesDiffusion Magnetic Resonance ImagingFemaleHumansInfantInfant, Extremely PrematureLongitudinal StudiesMagnetic Resonance SpectroscopyMaleMyelin SheathThalamusWhite MatterAspartic AcidCholineN-acetylaspartateconnectivityg-rationeonaterelaxometrywhite matter

Identifiers

PMID26996400
PMCPMC4949539
OpenAlexW2310509208

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.