Literature DB >> 26329284

Neonatal MRI is associated with future cognition and academic achievement in preterm children.

Henrik Ullman1, Megan Spencer-Smith2, Deanne K Thompson3, Lex W Doyle4, Terrie E Inder5, Peter J Anderson6, Torkel Klingberg7.   

Abstract

School-age children born preterm are particularly at risk for low mathematical achievement, associated with reduced working memory and number skills. Early identification of preterm children at risk for future impairments using brain markers might assist in referral for early intervention. This study aimed to examine the use of neonatal magnetic resonance imaging measures derived from automated methods (Jacobian maps from deformation-based morphometry; fractional anisotropy maps from diffusion tensor images) to predict skills important for mathematical achievement (working memory, early mathematical skills) at 5 and 7 years in a cohort of preterm children using both univariable (general linear model) and multivariable models (support vector regression). Participants were preterm children born <30 weeks' gestational age and healthy control children born ≥37 weeks' gestational age at the Royal Women's Hospital in Melbourne, Australia between July 2001 and December 2003 and recruited into a prospective longitudinal cohort study. At term-equivalent age ( ±2 weeks) 224 preterm and 46 control infants were recruited for magnetic resonance imaging. Working memory and early mathematics skills were assessed at 5 years (n = 195 preterm; n = 40 controls) and 7 years (n = 197 preterm; n = 43 controls). In the preterm group, results identified localized regions around the insula and putamen in the neonatal Jacobian map that were positively associated with early mathematics at 5 and 7 years (both P < 0.05), even after covarying for important perinatal clinical factors using general linear model but not support vector regression. The neonatal Jacobian map showed the same trend for association with working memory at 7 years (models ranging from P = 0.07 to P = 0.05). Neonatal fractional anisotropy was positively associated with working memory and early mathematics at 5 years (both P < 0.001) even after covarying for clinical factors using support vector regression but not general linear model. These significant relationships were not observed in the control group. In summary, we identified, in the preterm brain, regions around the insula and putamen using neonatal deformation-based morphometry, and brain microstructural organization using neonatal diffusion tensor imaging, associated with skills important for childhood mathematical achievement. Results contribute to the growing evidence for the clinical utility of neonatal magnetic resonance imaging for early identification of preterm infants at risk for childhood cognitive and academic impairment.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  deformation based morphometry; diffusion tensor imaging; mathematics; prematurity; working memory

Mesh:

Year:  2015        PMID: 26329284      PMCID: PMC4731414          DOI: 10.1093/brain/awv244

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  46 in total

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2.  Sources of variability in sequelae of very low birth weight.

Authors:  H Gerry Taylor; Christopher J Burant; Penny A Holding; Nancy Klein; Maureen Hack
Journal:  Child Neuropsychol       Date:  2002-09       Impact factor: 2.500

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

Review 4.  Healthy and abnormal development of the prefrontal cortex.

Authors:  Megan Spencer-Smith; Vicki Anderson
Journal:  Dev Neurorehabil       Date:  2009       Impact factor: 2.308

5.  Outcomes at age 2 years of infants < 28 weeks' gestational age born in Victoria in 2005.

Authors:  Lex W Doyle; Gehan Roberts; Peter J Anderson
Journal:  J Pediatr       Date:  2010-01       Impact factor: 4.406

6.  New MR imaging assessment tool to define brain abnormalities in very preterm infants at term.

Authors:  H Kidokoro; J J Neil; T E Inder
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-25       Impact factor: 3.825

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8.  Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.

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Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Short term outcomes after extreme preterm birth in England: comparison of two birth cohorts in 1995 and 2006 (the EPICure studies).

Authors:  Kate L Costeloe; Enid M Hennessy; Sadia Haider; Fiona Stacey; Neil Marlow; Elizabeth S Draper
Journal:  BMJ       Date:  2012-12-04
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  16 in total

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Journal:  Neuroimage       Date:  2018-01-31       Impact factor: 6.556

Review 2.  Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants.

Authors:  Nehal A Parikh
Journal:  Semin Perinatol       Date:  2016-11-15       Impact factor: 3.300

3.  Preterm Neuroimaging and School-Age Cognitive Outcomes.

Authors:  Susan R Hintz; Betty R Vohr; Carla M Bann; H Gerry Taylor; Abhik Das; Kathryn E Gustafson; Kimberly Yolton; Victoria E Watson; Jean Lowe; Maria Elena DeAnda; M Bethany Ball; Neil N Finer; Krisa P Van Meurs; Seetha Shankaran; Athina Pappas; Patrick D Barnes; Dorothy Bulas; Jamie E Newman; Deanne E Wilson-Costello; Roy J Heyne; Heidi M Harmon; Myriam Peralta-Carcelen; Ira Adams-Chapman; Andrea Freeman Duncan; Janell Fuller; Yvonne E Vaucher; Tarah T Colaizy; Sarah Winter; Elisabeth C McGowan; Ricki F Goldstein; Rosemary D Higgins
Journal:  Pediatrics       Date:  2018-07       Impact factor: 7.124

Review 4.  All Wrapped Up: Environmental Effects on Myelination.

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Journal:  Trends Neurosci       Date:  2017-08-22       Impact factor: 13.837

5.  Complementary cortical gray and white matter developmental patterns in healthy, preterm neonates.

Authors:  Vidya Rajagopalan; Julia A Scott; Mengyuan Liu; Kenneth Poskitt; Vann Chau; Steven Miller; Colin Studholme
Journal:  Hum Brain Mapp       Date:  2017-06-13       Impact factor: 5.038

6.  Machine learning shows association between genetic variability in PPARG and cerebral connectivity in preterm infants.

Authors:  Michelle L Krishnan; Zi Wang; Paul Aljabar; Gareth Ball; Ghazala Mirza; Alka Saxena; Serena J Counsell; Joseph V Hajnal; Giovanni Montana; A David Edwards
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-11       Impact factor: 11.205

7.  Longitudinal Changes in the Sensorimotor Pathways of Very Preterm Infants During the First Year of Life With and Without Intervention: A Pilot Study.

Authors:  Sonia Khurana; Megan E Evans; Claire E Kelly; Deanne K Thompson; Jennifer C Burnsed; Amy D Harper; Karen D Hendricks-Muñoz; Mary S Shall; Richard D Stevenson; Ketaki Inamdar; Gregory Vorona; Stacey C Dusing
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Review 8.  The General Movement Assessment Helps Us to Identify Preterm Infants at Risk for Cognitive Dysfunction.

Authors:  Christa Einspieler; Arend F Bos; Melissa E Libertus; Peter B Marschik
Journal:  Front Psychol       Date:  2016-03-22

9.  Brain network characterization of high-risk preterm-born school-age children.

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Journal:  Neuroimage Clin       Date:  2016-02-06       Impact factor: 4.881

Review 10.  Neonatal Seizures: Impact on Neurodevelopmental Outcomes.

Authors:  Seok Kyu Kang; Shilpa D Kadam
Journal:  Front Pediatr       Date:  2015-11-23       Impact factor: 3.418

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