@article{2641bb26129f4f169358ac8981fc4d8c,
title = "Investigating brain structural maturation in children and adolescents born very preterm using the brain age framework",
abstract = "Very preterm (VP) birth is associated with an increased risk for later neurodevelopmental and behavioural challenges. Although the neurobiological underpinnings of such challenges continue to be explored, previous studies have reported brain volume and morphology alterations in children and adolescents born VP compared with full-term (FT)-born controls. How these alterations relate to the trajectory of brain maturation, with potential implications for later brain ageing, remains unclear. In this longitudinal study, we investigate the relationship between VP birth and brain development during childhood and adolescence. We construct a normative {\textquoteleft}brain age{\textquoteright} model to predict age over childhood and adolescence based on measures of brain cortical and subcortical volumes and cortical morphology from structural MRI of a dataset of typically developing children aged 3–21 years (n = 768). Using this model, we examined deviations from normative brain development in a separate dataset of children and adolescents born VP (<30 weeks{\textquoteright} gestation) at two timepoints (ages 7 and 13 years) compared with FT-born controls (120 VP and 29 FT children at age 7 years; 140 VP and 47 FT children at age 13 years). Brain age delta (brain-predicted age minus chronological age) was, on average, higher in the VP group at both timepoints compared with controls, however this difference had a small to medium effect size and was not statistically significant. Variance in brain age delta was higher in the VP group compared with controls; this difference was significant at the 13-year timepoint. Within the VP group, there was little evidence of associations between brain age delta and perinatal risk factors or cognitive and motor outcomes. Under the brain age framework, our results may suggest that children and adolescents born VP have similar brain structural developmental trajectories to term-born peers between 7 and 13 years of age.",
keywords = "Brain, Longitudinal, Magnetic resonance imaging, Preterm",
author = "Claire Kelly and Gareth Ball and Matthews, \{Lillian G.\} and Cheong, \{Jeanie LY\} and Doyle, \{Lex W.\} and Inder, \{Terrie E.\} and Thompson, \{Deanne K.\} and Anderson, \{Peter J.\}",
note = "Funding Information: We thank members of the VIBeS and Developmental Imaging teams at the Murdoch Children's Research Institute, the Royal Children's Hospital Medical Imaging staff for their assistance and expertise in the collection of the MRI data included in this study, and the children and families who participated. This research was supported by the Australian National Health and Medical Research Council [NHMRC; Project Grants 237117 , 491209 and 1066555 ; Centre of Clinical Research Excellence 546519 ; Centre of Research Excellence 1060733 and 1153176 ; Investigator Grant 1176077 to PA and 1194497 to GB; Career Development Fellowship 1085754 to DT and 1141354 to JC], an Australian Government Research Training Program (RTP) Scholarship and Monash Graduate Excellence Scholarship to CK, Brigham and Women's Hospital Program for Interdisciplinary Neuroscience Award to LGM, the Murdoch Children's Research Institute, the Royal Children's Hospital, the Royal Children's Hospital Foundation, the Department of Paediatrics at the University of Melbourne, and the Victorian Government's Operational Infrastructure Support Program. Portions of this research were conducted on the O2 High Performance Compute Cluster, supported by the Research Computing Group, at Harvard Medical School. Funding Information: Data from the PING study are made available via the NIMH Data Archive (https://nda.nih.gov/edit\_collection.html?id=2607). Data from the VIBeS study are not publicly available due to ethical restrictions. Python code supporting this study is available at: https://github.com/DevelopmentalImagingMCRI/VIBeS-brain-age, Claire Kelly: Conceptualisation, Formal analysis, Investigation, Writing- original draft, Writing- review and editing, Visualisation. Gareth Ball: Conceptualisation, Methodology, Formal analysis, Investigation, Writing- original draft, Writing- review and editing, Supervision. Lillian Matthews: Conceptualisation, Formal analysis, Investigation, Writing- review and editing. Jeanie Cheong: Conceptualisation, Resources, Writing- review and editing, Supervision, Funding acquisition. Lex Doyle: Conceptualisation, Resources, Writing- review and editing, Supervision, Funding acquisition. Terrie Inder: Conceptualisation, Resources, Writing- review and editing, Supervision, Funding acquisition. Deanne Thompson: Conceptualisation, Resources, Writing- review and editing, Supervision, Funding acquisition. Peter Anderson: Conceptualisation, Resources, Writing- review and editing, Supervision, Funding acquisition. We thank members of the VIBeS and Developmental Imaging teams at the Murdoch Children's Research Institute, the Royal Children's Hospital Medical Imaging staff for their assistance and expertise in the collection of the MRI data included in this study, and the children and families who participated. This research was supported by the Australian National Health and Medical Research Council [NHMRC; Project Grants 237117, 491209 and 1066555; Centre of Clinical Research Excellence 546519; Centre of Research Excellence 1060733 and 1153176; Investigator Grant 1176077 to PA and 1194497 to GB; Career Development Fellowship 1085754 to DT and 1141354 to JC], an Australian Government Research Training Program (RTP) Scholarship and Monash Graduate Excellence Scholarship to CK, Brigham and Women's Hospital Program for Interdisciplinary Neuroscience Award to LGM, the Murdoch Children's Research Institute, the Royal Children's Hospital, the Royal Children's Hospital Foundation, the Department of Paediatrics at the University of Melbourne, and the Victorian Government's Operational Infrastructure Support Program. Portions of this research were conducted on the O2 High Performance Compute Cluster, supported by the Research Computing Group, at Harvard Medical School. Publisher Copyright: {\textcopyright} 2021",
year = "2022",
month = feb,
day = "15",
doi = "10.1016/j.neuroimage.2021.118828",
language = "English",
volume = "247",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier BV",
}