Literature DB >> 27863706

Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants.

Nehal A Parikh1.   

Abstract

Up to 35% of very preterm infants survive with neurodevelopmental impairments (NDI) such as cognitive deficits, cerebral palsy, and attention deficit disorder. Advanced MRI quantitative tools such as brain morphometry, diffusion MRI, magnetic resonance spectroscopy, and functional MRI at term-equivalent age are ideally suited to improve current efforts to predict later development of disabilities. This would facilitate application of targeted early intervention therapies during the first few years of life when neuroplasticity is optimal. A systematic search and review identified 47 published studies of advanced MRI to predict NDI. Diffusion MRI and morphometry studies were the most commonly studied modalities. Despite several limitations, studies clearly showed that brain structural and metabolite biomarkers are promising independent predictors of NDI. Large representative multicenter studies are needed to validate these studies.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain metabolites; Cerebral palsy; Cognitive impairment; Diffusion MRI; Functional MRI; Infant; Magnetic resonance imaging (MRI); Magnetic resonance spectroscopy; Microstructure; Morphometry; Neurodevelopmental impairment; Premature

Mesh:

Year:  2016        PMID: 27863706      PMCID: PMC5951398          DOI: 10.1053/j.semperi.2016.09.005

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


  90 in total

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Journal:  BMJ       Date:  1996-07-06

2.  Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children.

Authors:  Julia M Young; Tamara L Powell; Benjamin R Morgan; Dallas Card; Wayne Lee; Mary Lou Smith; John G Sled; Margot J Taylor
Journal:  Neuroimage       Date:  2015-02-21       Impact factor: 6.556

3.  Clinical implications of MR imaging findings in the white matter in very preterm infants: a 2-year follow-up study.

Authors:  Francisca T de Bruïne; Annette A van den Berg-Huysmans; Lara M Leijser; Monique Rijken; Sylke J Steggerda; Jeroen van der Grond; Gerda van Wezel-Meijler
Journal:  Radiology       Date:  2011-10-26       Impact factor: 11.105

4.  Brainstem size and function at term age in relation to later neurosensory disability in high-risk, preterm infants.

Authors:  A M Valkama; E U Tolonen; L I Kerttul; E L Pääkkö; L K Vainionpää; M E Koivist
Journal:  Acta Paediatr       Date:  2001-08       Impact factor: 2.299

5.  Neuro-developmental outcome at 18 months in premature infants with diffuse excessive high signal intensity on MR imaging of the brain.

Authors:  Anthony Hart; Elspeth Whitby; Stuart Wilkinson; Sathya Alladi; Martyn Paley; Michael Smith
Journal:  Pediatr Radiol       Date:  2011-06-17

6.  Neonatal microstructural development of the internal capsule on diffusion tensor imaging correlates with severity of gait and motor deficits.

Authors:  Jessica Rose; Majid Mirmiran; Erin E Butler; Cindy Y Lin; Patrick D Barnes; Rosanne Kermoian; David K Stevenson
Journal:  Dev Med Child Neurol       Date:  2007-10       Impact factor: 5.449

7.  Automatically quantified diffuse excessive high signal intensity on MRI predicts cognitive development in preterm infants.

Authors:  Nehal A Parikh; Lili He; Eliana Bonfante-Mejia; Leo Hochhauser; Patricia Evans Wilder; Katrina Burson; Supreet Kaur
Journal:  Pediatr Neurol       Date:  2013-10-15       Impact factor: 3.372

Review 8.  Neuroimaging in autism--from basic science to translational research.

Authors:  Christine Ecker; Declan Murphy
Journal:  Nat Rev Neurol       Date:  2014-01-14       Impact factor: 42.937

Review 9.  Predicting developmental outcomes in premature infants by term equivalent MRI: systematic review and meta-analysis.

Authors:  Janneke Van't Hooft; Johanna H van der Lee; Brent C Opmeer; Cornelieke S H Aarnoudse-Moens; Arnold G E Leenders; Ben Willem J Mol; Timo R de Haan
Journal:  Syst Rev       Date:  2015-05-17

10.  Artemis 123: development of a whole-head infant and young child MEG system.

Authors:  Timothy P L Roberts; Douglas N Paulson; Eugene Hirschkoff; Kevin Pratt; Anthony Mascarenas; Paul Miller; Mengali Han; Jason Caffrey; Chuck Kincade; Bill Power; Rebecca Murray; Vivian Chow; Charlie Fisk; Matthew Ku; Darina Chudnovskaya; John Dell; Rachel Golembski; Peter Lam; Lisa Blaskey; Emily Kuschner; Luke Bloy; William Gaetz; J Christopher Edgar
Journal:  Front Hum Neurosci       Date:  2014-03-03       Impact factor: 3.169

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  28 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.  Early cortical maturation predicts neurodevelopment in very preterm infants.

Authors:  Julia E Kline; Venkata Sita Priyanka Illapani; Lili He; Mekibib Altaye; John Wells Logan; Nehal A Parikh
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2019-11-08       Impact factor: 5.747

3.  Early Detection of Cerebral Palsy Using Sensorimotor Tract Biomarkers in Very Preterm Infants.

Authors:  Nehal A Parikh; Alexa Hershey; Mekibib Altaye
Journal:  Pediatr Neurol       Date:  2019-05-09       Impact factor: 3.372

4.  Using Functional Connectivity Magnetic Resonance Imaging to Measure Brain Connectivity in Preterm Infants.

Authors:  Rita Pickler; Stephanie Sealschott; Margo Moore; Stephanie Merhar; Jean Tkach; Andrew P Salzwedel; Weili Lin; Wai Gao
Journal:  Nurs Res       Date:  2017 Nov/Dec       Impact factor: 2.381

5.  Optimization of magnetization-prepared rapid gradient echo (MP-RAGE) sequence for neonatal brain MRI.

Authors:  Lili He; Jinghua Wang; Zhong-Lin Lu; Beth M Kline-Fath; Nehal A Parikh
Journal:  Pediatr Radiol       Date:  2018-05-02

6.  Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?

Authors:  Elveda Gozdas; Nehal A Parikh; Stephanie L Merhar; Jean A Tkach; Lili He; Scott K Holland
Journal:  Brain Struct Funct       Date:  2018-07-10       Impact factor: 3.270

7.  Different from the Beginning: WM Maturity of Female and Male Extremely Preterm Neonates-A Quantitative MRI Study.

Authors:  V U Schmidbauer; M S Yildirim; G O Dovjak; K Goeral; J Buchmayer; M Weber; M C Diogo; V Giordano; G Mayr-Geisl; F Prayer; M Stuempflen; F Lindenlaub; V List; S Glatter; A Rauscher; F Stuhr; C Lindner; K Klebermass-Schrehof; A Berger; D Prayer; G Kasprian
Journal:  AJNR Am J Neuroradiol       Date:  2022-03-24       Impact factor: 3.825

8.  Validity of SyMRI for Assessment of the Neonatal Brain.

Authors:  Victor Schmidbauer; Gudrun Geisl; Mariana Cardoso Diogo; Suren Jengojan; Vsevolod Perepelov; Michael Weber; Katharina Goeral; Florian Lindenlaub; Katrin Klebermass-Schrehof; Angelika Berger; Daniela Prayer; Gregor Kasprian
Journal:  Clin Neuroradiol       Date:  2020-03-11       Impact factor: 3.649

9.  Microstructural Measures of the Inferior Longitudinal Fasciculus Predict Later Cognitive and Language Development in Infants Born With Extremely Low Birth Weight.

Authors:  Matthew C Bugada; Julia E Kline; Nehal A Parikh
Journal:  J Child Neurol       Date:  2021-06-29       Impact factor: 1.987

10.  Impact of Prematurity on the Tissue Properties of the Neonatal Brain Stem: A Quantitative MR Approach.

Authors:  V Schmidbauer; G Dovjak; G Geisl; M Weber; M C Diogo; M S Yildirim; K Goeral; K Klebermass-Schrehof; A Berger; D Prayer; G Kasprian
Journal:  AJNR Am J Neuroradiol       Date:  2021-01-21       Impact factor: 3.825

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