Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents

Hassna Irzan*, Helen O’Reilly, Sebastien Ourselin, Neil Marlow, Andrew Melbourne

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)

Abstract

Although findings have revealed that preterm subjects are at higher risk of brain abnormalities and adverse cognitive outcome, very few studies have investigated the long-term effects of extreme prematurity on regional brain structures, especially in adolescence. The current study aims to investigate the volume of brain structures of 88 extremely preterm born 19-year old adolescents and 54 age- and socioeconomically-matched full-term born subjects. In addition, we examine the hypothesis that the volume of grey matter regions where a significant group or group-sex differences are found would be connected with the neurodevelopmental outcome. The results of the analysis show regional brain difference linked to extreme prematurity with reduced grey matter content in the subcortical regions and larger grey matter volumes distributed around the medial prefrontal cortex and anterior medial cortex. Premature birth and the volume of the left precuneus and the right posterior cingulate gyrus accounts for of the variance in FSIQ. The outcome of this analysis reveals that structural brain differences persist into adolescence in extremely preterm subjects and that they correlate with cognitive functions.

Original languageEnglish
Title of host publicationMedical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings
EditorsYipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Andrew Melbourne, Stephen Aylward, Esra Abaci Turk, Jordina Torrents Barrena, Jordina Torrents Barrena
PublisherSpringer Science and Business Media Deutschland GmbH
Pages315-323
Number of pages9
ISBN (Print)9783030603335
DOIs
Publication statusPublished - 2020
Event1st International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 - Lima, Peru
Duration: 4 Oct 20208 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12437 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
Country/TerritoryPeru
CityLima
Period4/10/20208/10/2020

Keywords

  • Brain volume
  • Grey matter
  • Prematurity
  • T1-weighted MRI

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