Literature DB >> 29908311

Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome.

L Gui1, S Loukas2, F Lazeyras3, P S Hüppi1, D E Meskaldji1, C Borradori Tolsa4.   

Abstract

Premature birth has been associated with poor neurodevelopmental outcomes. However, the relation between such outcomes and brain growth in the neonatal period has not yet been fully elucidated. This study investigates longitudinal brain development between birth and term-equivalent age (TEA) by quantitative imaging in a cohort of premature infants born between 26 and 36 weeks gestational age (GA), to provide insight into the relation of brain growth with later neurodevelopmental outcomes. Longitudinal T2-weighted magnetic resonance images (MRI) of 84 prematurely born infants acquired shortly after birth and TEA were automatically segmented into cortical gray matter (CGM), unmyelinated white matter (UWM), subcortical gray matter (SGM), cerebellum (CB) and cerebrospinal fluid (CSF). General linear models and correlation analysis were used to study the relation between brain volumes and their growth, and perinatal variables. To investigate the ability of the brain volumes to predict children's neurodevelopmental outcome at 18-24 months and at 5 years of age, a linear discriminant analysis classifier was tested and several general linear models were fitted and compared by statistical tests. From birth to TEA, relative volumes of CGM, CB and CSF with respect to total intracranial volume increased, while relative volumes of UWM and SGM decreased. The fastest growing tissues between birth and TEA were found to be the CB and the CGM. Lower GA at birth was associated with lower growth rates of CGM, CB and total tissue. Among perinatal factors, persistent ductus arteriosus was associated with lower SGM, CB and IC growth rates, while sepsis was associated with lower CSF and intracranial volume growth rates. Model comparisons showed that brain tissue volumes at birth and at TEA contributed to the prediction of motor outcomes at 18-24 months, while volumes at TEA and volume growth rates contributed to the prediction of cognitive scores at 5 years of age. The family socio-economic status (SES) was not correlated with brain volumes at birth or at TEA, but was strongly associated with the cognitive outcomes at 18-24 months and 5 years of age. This study provides information about brain growth between birth and TEA in premature children with no focal brain lesions, and investigates their association with subsequent neurodevelopmental outcome. Parental SES was found to be a major determinant of neurodevelopmental outcome, unrelated to brain growth. However, further research is necessary in order to fully explain the variability of neurodevelopmental outcomes in this population.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Classification; MRI; Machine learning; Neurodevelopmental outcome; Preterm infants; Volumetric brain data

Mesh:

Year:  2018        PMID: 29908311     DOI: 10.1016/j.neuroimage.2018.06.034

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

1.  Quantitative MRI study of infant regional brain size following surgery for long-gap esophageal atresia requiring prolonged critical care.

Authors:  Chandler Rebecca Lee Mongerson; Russell William Jennings; David Zurakowski; Dusica Bajic
Journal:  Int J Dev Neurosci       Date:  2019-09-26       Impact factor: 2.457

2.  Duration of mechanical ventilation is more critical for brain growth than postnatal hydrocortisone in extremely preterm infants.

Authors:  Chloé Rousseau; Marine Guichard; Elie Saliba; Baptiste Morel; Geraldine Favrais
Journal:  Eur J Pediatr       Date:  2021-05-16       Impact factor: 3.183

3.  Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.

Authors:  T Vanderhasselt; M Naeyaert; N Watté; G-J Allemeersch; S Raeymaeckers; J Dudink; J de Mey; H Raeymaekers
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-16       Impact factor: 3.825

4.  Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants.

Authors:  Julia E Kline; Venkata Sita Priyanka Illapani; Lili He; Nehal A Parikh
Journal:  Neuroimage Clin       Date:  2020-10-28       Impact factor: 4.881

5.  Exploring the distribution of grey and white matter brain volumes in extremely preterm children, using magnetic resonance imaging at term age and at 10 years of age.

Authors:  Hedvig Kvanta; Jenny Bolk; Marika Strindberg; Carmen Jiménez-Espinoza; Lina Broström; Nelly Padilla; Ulrika Ådén
Journal:  PLoS One       Date:  2021-11-05       Impact factor: 3.240

Review 6.  Socioeconomic status and brain injury in children born preterm: modifying neurodevelopmental outcome.

Authors:  Isabel Benavente-Fernández; Arjumand Siddiqi; Steven P Miller
Journal:  Pediatr Res       Date:  2019-10-30       Impact factor: 3.756

Review 7.  Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury.

Authors:  Maria Luisa Tataranno; Daniel C Vijlbrief; Jeroen Dudink; Manon J N L Benders
Journal:  Front Pediatr       Date:  2021-05-19       Impact factor: 3.418

8.  Phenotyping the Preterm Brain: Characterizing Individual Deviations From Normative Volumetric Development in Two Large Infant Cohorts.

Authors:  Ralica Dimitrova; Sophie Arulkumaran; Olivia Carney; Andrew Chew; Shona Falconer; Judit Ciarrusta; Thomas Wolfers; Dafnis Batalle; Lucilio Cordero-Grande; Anthony N Price; Rui P A G Teixeira; Emer Hughes; Alexia Egloff; Jana Hutter; Antonios Makropoulos; Emma C Robinson; Andreas Schuh; Katy Vecchiato; Johannes K Steinweg; Russell Macleod; Andre F Marquand; Grainne McAlonan; Mary A Rutherford; Serena J Counsell; Stephen M Smith; Daniel Rueckert; Joseph V Hajnal; Jonathan O'Muircheartaigh; A David Edwards
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

Review 9.  New insights into the development of the human cerebral cortex.

Authors:  Zoltán Molnár; Gavin J Clowry; Nenad Šestan; Ayman Alzu'bi; Trygve Bakken; Robert F Hevner; Petra S Hüppi; Ivica Kostović; Pasko Rakic; E S Anton; David Edwards; Patricia Garcez; Anna Hoerder-Suabedissen; Arnold Kriegstein
Journal:  J Anat       Date:  2019-08-02       Impact factor: 2.610

10.  Mental development is associated with cortical connectivity of the ventral and nonspecific thalamus of preterm newborns.

Authors:  Andras Jakab; Giancarlo Natalucci; Brigitte Koller; Ruth Tuura; Christoph Rüegger; Cornelia Hagmann
Journal:  Brain Behav       Date:  2020-08-13       Impact factor: 2.708

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