Evidence map›Paper›PMID 32420684›Full record

ReviewJournal of magnetic resonance imaging : JMRI2021

MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances.

Jessica Dubois, Marianne Alison, Serena J Counsell, Lucie Hertz-Pannier, Petra S Hüppi, Manon J N L Benders

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 3 pooled it
9.1field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 3 syntheses or guidelines pooled it, 219 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Integrating Anatomical Priors Into a Causal Diffusion Model.IEEE transactions on medical imaging · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Perinatal hardship and infant neurodevelopment: insights from a global pandemic.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 5 countries.

Jessica DuboisUniversity of Paris, NeuroDiderot, INSERM,Paris, France.ORCID 0000-0003-4865-8111
Marianne AlisonUniversity of Paris, NeuroDiderot, INSERM,Paris, France.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Lucie Hertz-PannierUniversity of Paris, NeuroDiderot, INSERM,Paris, France.
Petra S HüppiDivision of Development and Growth, Department of Woman, Child and Adolescent, University Hospitals of Geneva, Geneva, Switzerland.
Manon J N L BendersDepartment of Neonatology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Inserm · FRKing's College London · GBUniversity Hospital of Geneva · CHUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, exploration of the developing brain has become a major focus for researchers and clinicians in an attempt to understand what allows children to acquire amazing and unique abilities, as well as the impact of early disruptions (eg, prematurity, neonatal insults) that can lead to a wide range of neurodevelopmental disorders. Noninvasive neuroimaging methods such as MRI are essential to establish links between the brain and behavioral changes in newborns and infants. In this review article, we aim to highlight recent and representative studies using the various techniques available: anatomical MRI, quantitative MRI (relaxometry, diffusion MRI), multiparametric approaches, and functional MRI. Today, protocols use 1.5 or 3T MRI scanners, and specialized methodologies have been put in place for data acquisition and processing to address the methodological challenges specific to this population, such as sensitivity to motion. MR sequences must be adapted to the brains of newborns and infants to obtain relevant good soft-tissue contrast, given the small size of the cerebral structures and the incomplete maturation of tissues. The use of age-specific image postprocessing tools is also essential, as signal and contrast differ from the adult brain. Appropriate methodologies then make it possible to explore multiple neurodevelopmental mechanisms in a precise way, and assess changes with age or differences between groups of subjects, particularly through large-scale projects. Although MRI measurements only indirectly reflect the complex series of dynamic processes observed throughout development at the molecular and cellular levels, this technique can provide information on brain morphology, structural connectivity, microstructural properties of gray and white matter, and on the functional architecture. Finally, MRI measures related to clinical, behavioral, and electrophysiological markers have a key role to play from a diagnostic and prognostic perspective in the implementation of early interventions to avoid long-term disabilities in children. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY STAGE: 1.

Indexed as

Magnetic Resonance ImagingWhite MatterAdultBrainChildDiffusion Magnetic Resonance ImagingHumansInfantInfant, NewbornNeuroimaginganatomical MRIbrain developmentdiffusion MRIfunctional MRIinfantsnewbornsquantitative MRI

Identifiers

PMID32420684
PMCPMC8247362
OpenAlexW3027053347

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.