Literature DB >> 25724792

The predictive validity of neonatal MRI for neurodevelopmental outcome in very preterm children.

Peter J Anderson1, Jeanie L Y Cheong2, Deanne K Thompson3.   

Abstract

Very preterm children are at a high risk for neurodevelopmental impairments, but there is variability in the pattern and severity of outcome. Neonatal magnetic resonance imaging (MRI) enhances the capacity to detect brain injury and altered brain development and assists in the prediction of high-risk children who warrant surveillance and early intervention. This review describes the application of conventional and advanced MRI with very preterm neonates, specifically focusing on the relationship between neonatal MRI findings and later neurodevelopmental outcome. Research demonstrates that conventional MRI is strongly associated with neurodevelopmental outcome in childhood. Further studies are needed to examine the role of advanced MRI techniques in predicting outcome in very preterm children, but early research findings are promising. In conclusion, neonatal MRI is predictive of later neurodevelopment but is dependent on appropriately trained specialists and should be interpreted in conjunction with other clinical and social information.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  diffusion weight imaging; magnetic resonance imaging; neurodevelopmental outcome; very preterm

Mesh:

Year:  2015        PMID: 25724792     DOI: 10.1053/j.semperi.2015.01.008

Source DB:  PubMed          Journal:  Semin Perinatol        ISSN: 0146-0005            Impact factor:   3.300


  29 in total

1.  Early brain abnormalities in infants born very preterm predict under-reactive temperament.

Authors:  Leanne Tamm; Meera Patel; James Peugh; Beth M Kline-Fath; Nehal A Parikh
Journal:  Early Hum Dev       Date:  2020-03-09       Impact factor: 2.079

2.  Computer-based video analysis identifies infants with absence of fidgety movements.

Authors:  Ragnhild Støen; Nils Thomas Songstad; Inger Elisabeth Silberg; Toril Fjørtoft; Alexander Refsum Jensenius; Lars Adde
Journal:  Pediatr Res       Date:  2017-07-26       Impact factor: 3.756

Review 3.  Studying neuroanatomy using MRI.

Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

Review 4.  Neonatal brain injury and aberrant connectivity.

Authors:  Christopher D Smyser; Muriah D Wheelock; David D Limbrick; Jeffrey J Neil
Journal:  Neuroimage       Date:  2018-07-27       Impact factor: 6.556

5.  Preterm Neurodevelopmental Outcomes Following Orosensory Entrainment Intervention.

Authors:  Diane Frome Loeb; Caitlin M Imgrund; Jaehoon Lee; Steven M Barlow
Journal:  J Neonatal Nurs       Date:  2017-12-01

Review 6.  Imaging structural and functional brain development in early childhood.

Authors:  John H Gilmore; Rebecca C Knickmeyer; Wei Gao
Journal:  Nat Rev Neurosci       Date:  2018-02-16       Impact factor: 34.870

7.  Feasibility of event-related potential (ERP) biomarker use to study effects of mother's voice exposure on speech sound differentiation of preterm infants.

Authors:  Olena D Chorna; Ellyn L Hamm; Hemang Shrivastava; Nathalie L Maitre
Journal:  Dev Neuropsychol       Date:  2018       Impact factor: 2.253

Review 8.  Routine imaging of the preterm neonatal brain.

Authors:  Mireille Guillot; Vann Chau; Brigitte Lemyre
Journal:  Paediatr Child Health       Date:  2020-06-10       Impact factor: 2.253

9.  Comparison of preterm and term equivalent age MRI for the evaluation of preterm brain injury.

Authors:  A Malhotra; M C Fahey; M Davies-Tuck; F Wong; E Carse; G Whiteley; M Ditchfield
Journal:  J Perinatol       Date:  2017-04-06       Impact factor: 2.521

10.  Rapid Infant Prefrontal Cortex Development and Sensitivity to Early Environmental Experience.

Authors:  Amanda S Hodel
Journal:  Dev Rev       Date:  2018-03-11
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