1. Multimodal image analysis of clinical influences on preterm brain development
- Author
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Ball, G, Aljabar, P, Nongena, P, Kennea, N, Gonzalez-Cinca, N, Falconer, S, Chew, ATM, Harper, N, Wurie, J, Rutherford, MA, Counsell, SJ, and Edwards, AD
- Subjects
Male ,Models, Statistical ,Motor Disorders ,Infant, Newborn ,Brain ,Magnetic Resonance Imaging ,Risk Factors ,Child, Preschool ,Image Processing, Computer-Assisted ,Journal Article ,Anisotropy ,Humans ,Cognitive Dysfunction ,Female ,Prospective Studies ,Research Articles ,Infant, Premature ,Research Article - Abstract
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.
- Published
- 2017
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