Evidence map›Paper›PMID 30210783›Full record

ReviewF1000Research2018

Recent advances in diffusion neuroimaging: applications in the developing preterm brain.

Diliana Pecheva, Christopher Kelly, Jessica Kimpton, Alexandra Bonthrone, Dafnis Batalle, Hui Zhang, Serena J Counsell

Abstract readReview
In one paragraph

Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Social Determinants of Health and Early Brain Development.Pediatric clinics of North America · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Near-infrared light scattering and water diffusion in newborn brains.Annals of clinical and translational neurology · 2022
    Article
  14. Article
  15. Review
  16. Convection-Enhanced DeliveryFrontiers in bioengineering and biotechnology · 2022
    Article
  17. Article
  18. Cortical Cross-Frequency Coupling Is Affected byFrontiers in neuroscience · 2022
    Article
  19. Review
  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

7 authors.

Diliana PechevaCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Christopher KellyCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Jessica KimptonCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Alexandra BonthroneCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Dafnis BatalleCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-2097-979X
Hui ZhangDepartment of Computer Science & Centre for Medical Image Computing, University College London, London, UK.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-8033-5673

Funding

Biotechnology and Biological Sciences Research Council BB/J014567/1British Heart Foundation FS/15/55/31649Medical Research Council MR/K006355/1Medical Research Council MR/L011530/1Wellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

Measures obtained from diffusion-weighted imaging provide objective indices of white matter development and injury in the developing preterm brain. To date, diffusion tensor imaging (DTI) has been used widely, highlighting differences in fractional anisotropy (FA) and mean diffusivity (MD) between preterm infants at term and healthy term controls; altered white matter development associated with a number of perinatal risk factors; and correlations between FA values in the white matter in the neonatal period and subsequent neurodevelopmental outcome. Recent developments, including neurite orientation dispersion and density imaging (NODDI) and fixel-based analysis (FBA), enable white matter microstructure to be assessed in detail. Constrained spherical deconvolution (CSD) enables multiple fibre populations in an imaging voxel to be resolved and allows delineation of fibres that traverse regions of fibre-crossings, such as the arcuate fasciculus and cerebellar-cortical pathways. This review summarises DTI findings in the preterm brain and discusses initial findings in this population using CSD, NODDI, and FBA.

Indexed as

BrainDiffusion Tensor ImagingHumansInfant, NewbornInfant, PrematureNeuroimagingbraindiffusion magnetic resonance imaginginfant

Identifiers

PMID30210783
PMCPMC6107996

What OpenQuestion holds

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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.