Evidence map›Paper›PMID 34322949›Full record

ArticleHuman brain mapping2021

Early micro- and macrostructure of sensorimotor tracts and development of cerebral palsy in high risk infants.

Rahul Chandwani, Julia E Kline, Karen Harpster, Jean Tkach, Nehal A Parikh, Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS) Group

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03345069 (Early Prediction of Cognitive and Motor Deficits Using Advanced MRI in Very Preterm Infants), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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.

NCT03345069 active not recruitingnot on this map

Early Prediction of Cognitive and Motor Deficits Using Advanced MRI in Very Preterm Infants

TypeobservationalSponsorChildren's Hospital Medical Center, CincinnatiRan2016 to 2027Enrolled393ConditionsPremature Infant
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Rahul ChandwaniPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0003-1177-7424
Julia E KlinePerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Karen HarpsterDivision of Occupational Therapy and Physical Therapy, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Jean TkachDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Nehal A ParikhPerinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS) Group
Cincinnati Children's Hospital Medical Center · US

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
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
NIH HHS R01-NS094200NIH HHS R01-NS096037NINDS NIH HHS R01 NS094200NINDS NIH HHS R01 NS096037
6 · The paper itself

Abstract

Infants born very preterm (VPT) are at high risk of motor impairments such as cerebral palsy (CP), and diagnosis can take 2 years. Identifying in vivo determinants of CP could facilitate presymptomatic detection and targeted intervention. Our objectives were to derive micro- and macrostructural measures of sensorimotor white matter tract integrity from diffusion MRI at term-equivalent age, and determine their association with early diagnosis of CP. We enrolled 263 VPT infants (≤32 weeks gestational age) as part of a large prospective cohort study. Diffusion and structural MRI were acquired at term. Following consensus guidelines, we defined early diagnosis of CP based on abnormal structural MRI at term and abnormal neuromotor exam at 3-4 months corrected age. Using Constrained Spherical Deconvolution, we derived a white matter fiber orientation distribution (fOD) for subjects, performed probabilistic whole-brain tractography, and segmented nine sensorimotor tracts of interest. We used the recently developed fixel-based (FB) analysis to compute fiber density (FD), fiber-bundle cross-section (FC), and combined fiber density and cross-section (FDC) for each tract. Of 223 VPT infants with high-quality diffusion MRI data, 14 (6.3%) received an early diagnosis of CP. The cohort's mean (SD) gestational age was 29.4 (2.4) weeks and postmenstrual age at MRI scan was 42.8 (1.3) weeks. FD, FC, and FDC for each sensorimotor tract were significantly associated with early CP diagnosis, with and without adjustment for confounders. Measures of sensorimotor tract integrity enhance our understanding of white matter changes that antecede and potentially contribute to the development of CP in VPT infants.

Indexed as

Cerebral PalsyDiffusion Tensor ImagingFemaleHumansInfantInfant, Extremely PrematureInfant, NewbornMaleNeural PathwaysProspective StudiesRiskSensorimotor CortexWhite Mattercerebral palsydiffusion MRIneonatologypreterm birthWhite matter

Identifiers

PMID34322949
PMCPMC8410533
OpenAlexW3183788500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.