Evidence map›Paper›PMID 29852283›Full record

ReviewNeuroImage2019

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.

Matteo Bastiani, Jesper L R Andersson, Lucilio Cordero-Grande, Maria Murgasova, Jana Hutter, Anthony N Price, Antonios Makropoulos, Sean P Fitzgibbon, Emer Hughes, Daniel Rueckert and 8 more

Open access · hybridAbstract readReview
In one paragraph

Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
12.7field-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

97 citing papers in PubMed, 194 citations in OpenAlex.

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  15. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025
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37 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

18 authors at 4 institutions in 1 country.

Matteo BastianiWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK. Electronic address: matteo.bastiani@ndcn.ox.ac.uk.
Jesper L R AnderssonWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK.
Lucilio Cordero-GrandeCentre for the Developing Brain, King's College London, UK.
Maria MurgasovaCentre for the Developing Brain, King's College London, UK.
Jana HutterCentre for the Developing Brain, King's College London, UK.
Anthony N PriceCentre for the Developing Brain, King's College London, UK.
Antonios MakropoulosDepartment of Computing, Imperial College London, UK.
Sean P FitzgibbonWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK.
Emer HughesCentre for the Developing Brain, King's College London, UK.
Daniel RueckertDepartment of Computing, Imperial College London, UK.
Suresh VictorCentre for the Developing Brain, King's College London, UK.
Mary RutherfordCentre for the Developing Brain, King's College London, UK.
A David EdwardsCentre for the Developing Brain, King's College London, UK.
Stephen M SmithWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK.
Jacques-Donald TournierCentre for the Developing Brain, King's College London, UK.
Joseph V HajnalCentre for the Developing Brain, King's College London, UK.
Saad JbabdiWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK.
Stamatios N SotiropoulosWellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, UK; Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK.
King's College London · GBUniversity of Oxford · GBImperial College London · GBUniversity of Nottingham · GB

Funding

MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
European Research Council 319456Medical Research Council MR/L009013/1NIA NIH HHS U01 AG052564NIMH NIH HHS U01 MH109589Wellcome Trust 098369Wellcome Trust 203139
6 · The paper itself

Abstract

The developing Human Connectome Project is set to create and make available to the scientific community a 4-dimensional map of functional and structural cerebral connectivity from 20 to 44 weeks post-menstrual age, to allow exploration of the genetic and environmental influences on brain development, and the relation between connectivity and neurocognitive function. A large set of multi-modal MRI data from fetuses and newborn infants is currently being acquired, along with genetic, clinical and developmental information. In this overview, we describe the neonatal diffusion MRI (dMRI) image processing pipeline and the structural connectivity aspect of the project. Neonatal dMRI data poses specific challenges, and standard analysis techniques used for adult data are not directly applicable. We have developed a processing pipeline that deals directly with neonatal-specific issues, such as severe motion and motion-related artefacts, small brain sizes, high brain water content and reduced anisotropy. This pipeline allows automated analysis of in-vivo dMRI data, probes tissue microstructure, reconstructs a number of major white matter tracts, and includes an automated quality control framework that identifies processing issues or inconsistencies. We here describe the pipeline and present an exemplar analysis of data from 140 infants imaged at 38-44 weeks post-menstrual age.

Indexed as

Infant, NewbornBrainConnectomeDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleBrainConnectomeDiffusion MRINewbornQuality controlTractography

Identifiers

PMID29852283
PMCPMC6299258
OpenAlexW2805284222

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.