دورية أكاديمية

Multimodal image analysis of clinical influences on preterm brain development.

التفاصيل البيبلوغرافية
العنوان: Multimodal image analysis of clinical influences on preterm brain development.
المؤلفون: Ball, Gareth, Aljabar, Paul, Nongena, Phumza, Kennea, Nigel, Gonzalez‐Cinca, Nuria, Falconer, Shona, Chew, Andrew T.M., Harper, Nicholas, Wurie, Julia, Rutherford, Mary A., Counsell, Serena J., Edwards, A. David, Gonzalez-Cinca, Nuria
المصدر: Annals of Neurology; Aug2017, Vol. 82 Issue 2, p233-246, 14p
مصطلحات موضوعية: PREMATURE labor, NEURAL development, WHITE matter (Nerve tissue), GRAY matter (Nerve tissue), DATA analysis, BRAIN abnormalities, BRAIN, DIGITAL image processing, PREMATURE infants, LONGITUDINAL method, MAGNETIC resonance imaging, RESEARCH funding, STATISTICAL models, PSYCHOLOGY
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:03645134
DOI:10.1002/ana.24995