Multimodal image analysis of clinical influences on preterm brain development

TY - JOUR

T1 - Multimodal image analysis of clinical influences on preterm brain development

AU - Ball, Gareth

AU - Aljabar, Paul

AU - Nongena, Phumza

AU - Kennea, Nigel

AU - Gonzalez-Cinca, Nuria

AU - Falconer, Shona

AU - Chew, Andrew T M

AU - Harper, Nicholas

AU - Wurie, Julia

AU - Rutherford, Mary A

AU - Counsell, Serena J

AU - Edwards, A David

N1 - © 2017 American Neurological Association.

PY - 2017/8

Y1 - 2017/8

N2 - Objective Premature birth is associated with numerous complex abnormalities of white and grey matter and a high incidence of long-term neurocognitive impairment. An integrated understanding of these abnormalities and their association with clinical events is lacking. The aim of this study was to identify specific patterns of abnormal cerebral development and their antenatal and postnatal antecedents. Methods In a prospective cohort of 449 infants (226 male), we performed a multi-variate and data-driven analysis combining multiple imaging modalities. Using canonical correlation analysis, we sought separable multimodal imaging markers associated with specific clinical and environmental factors and correlated to neurodevelopmental outcome at 2 years. Results We found five independent patterns of neuroanatomical variation that related to clinical factors including age, prematurity, sex, intrauterine complications, and postnatal adversity. We also confirmed the association between imaging markers of neuroanatomical abnormality and poor cognitive and motor outcomes at 2 years. Interpretation This data-driven approach defined novel and clinically relevant imaging markers of cerebral maldevelopment, which offer new insights into the nature of preterm brain injury. This article is protected by copyright. All rights reserved.

AB - Objective Premature birth is associated with numerous complex abnormalities of white and grey matter and a high incidence of long-term neurocognitive impairment. An integrated understanding of these abnormalities and their association with clinical events is lacking. The aim of this study was to identify specific patterns of abnormal cerebral development and their antenatal and postnatal antecedents. Methods In a prospective cohort of 449 infants (226 male), we performed a multi-variate and data-driven analysis combining multiple imaging modalities. Using canonical correlation analysis, we sought separable multimodal imaging markers associated with specific clinical and environmental factors and correlated to neurodevelopmental outcome at 2 years. Results We found five independent patterns of neuroanatomical variation that related to clinical factors including age, prematurity, sex, intrauterine complications, and postnatal adversity. We also confirmed the association between imaging markers of neuroanatomical abnormality and poor cognitive and motor outcomes at 2 years. Interpretation This data-driven approach defined novel and clinically relevant imaging markers of cerebral maldevelopment, which offer new insights into the nature of preterm brain injury. This article is protected by copyright. All rights reserved.

KW - Journal Article

UR - http://www.scopus.com/inward/record.url?scp=85027501181&partnerID=8YFLogxK

U2 - 10.1002/ana.24995

DO - 10.1002/ana.24995

M3 - Article

C2 - 28719076

SN - 0364-5134

VL - 82

SP - 233

EP - 246

JO - Annals of Neurology

JF - Annals of Neurology

IS - 2

ER -