Evidence map›Paper›PMID 41735035›Full record

ArticleArchives of disease in childhood. Fetal and neonatal edition2026

Mapping white matter microstructure at term age to motor outcomes at 2 years in very preterm infants: a multicentre cohort study.

Ankita Joshi, Wei Jia, Junqi Wang, Hailong Li, Mekibib Altaye, Nehal Parikh, Lili He

Abstract read
In one paragraph

Article in Archives of disease in childhood. Fetal and neonatal edition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ankita JoshiArtificial Intelligence Imaging Research Center, Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID http://orcid.org/0009-0002-6712-2937
Wei JiaArtificial Intelligence Imaging Research Center, Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Junqi WangArtificial Intelligence Imaging Research Center, Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Hailong LiArtificial Intelligence Imaging Research Center, Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Mekibib AltayeNeurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Nehal ParikhNeurodevelopmental Disorders Prevention Center, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID http://orcid.org/0000-0002-1375-1247
Lili HeArtificial Intelligence Imaging Research Center, Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA lili.he@cchmc.org.

Funding

A New Model to Identify Preterm Neonates at High-Risk for Cognitive Impairments and School ReadinessR01NS094200 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI NEHAL A. PARIKH · 2016 to 2026
$6.7M
Quantification of Liver Fibrosis with MRI and Deep LearningR01EB030582 · NIBIB · CINCINNATI CHILDRENS HOSP MED CTR · PI HE, LILI · 2021 to 2024
$2.5M
Early Prediction of Cerebral Palsy in Premature Infants using Advanced MRI BiomarkersR01NS096037 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI PARIKH, NEHAL A. · 2016 to 2020
$2.2M
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm InfantsR01EB029944 · NIBIB · CINCINNATI CHILDRENS HOSP MED CTR · PI HE, LILI · 2020 to 2023
$2.1M
NIBIB NIH HHS R01 EB029944NIBIB NIH HHS R01 EB030582NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

objectiveTo characterise white matter microstructural differences within very preterm (VPT; <33 weeks' gestational age) infants that develop motor impairment in the first 2 years of life.

designCohort study, VPT infants (Cincinnati Infant Neurodevelopment Early Prediction Study) recruited from five level III/IV neonatal intensive care units in the greater Cincinnati area between September 2016 and November 2019.

settingMulticentre study; participants received MRI at term-equivalent age at Cincinnati Children's Hospital Medical Center and were followed-up at 2 years corrected age to assess their motor performance. PATIENTS: Infants born before 33 weeks were eligible. MAIN OUTCOMES AND MEASURES: Composite motor scores at 2 years corrected age (CA) on the Bayley Scales of Infant and Toddler Development, III. Fractional anisotropy (FA) along the white matter tracts was used to measure white matter microstructure. Motor impairment was defined as Bayley-III motor score <85.

results247 controls and 84 impaired infants were included in the study. Compared with the controls, infants with motor impairment were characterised by location-dependent credible group differences and significantly lower FA in both sensorimotor and non-sensorimotor tracts. A location-specific significant positive association between FA and Bayley scores in the impaired group was observed in multiple sensorimotor tracts and non-sensorimotor tracts. No significant associations were found between FA and Bayley scores in the controls.

conclusionVPT infants developing motor impairments show altered inter and intrahemispheric connectivity, with early indications of impaired visual-motor, sensorimotor and thalamo-cortical connectivity, extending beyond sensorimotor tracts.

Indexed as

Infant DevelopmentIntensive Care Units, NeonatalMagnetic Resonance ImagingNeonatology

Identifiers

PMID41735035
PMCPMC13170494

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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.