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Multimodal image analysis of clinical influences on preterm brain development
Author(s) -
Ball Gareth,
Aljabar Paul,
gena Phumza,
Kennea Nigel,
GonzalezCinca Nuria,
Falconer Shona,
Chew Andrew T.M.,
Harper Nicholas,
Wurie Julia,
Rutherford Mary A.,
Counsell Serena J.,
Edwards A. David
Publication year - 2017
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.24995
Subject(s) - maldevelopment , neurocognitive , neuroimaging , abnormality , medicine , white matter , prospective cohort study , neuroscience , psychology , cognition , magnetic resonance imaging , pediatrics , psychiatry , radiology , anatomy
Objective Premature birth is associated with numerous complex abnormalities of white and gray 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 multivariate 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. Ann Neurol 2017;82:233–246