Relationship between brain function (aEEG) and brain structure (MRI) and their predictive value for neurodevelopmental outcome of preterm infants

To improve the prediction of neurodevelopmental outcome in very preterm infants, this study used the combination of amplitude-integrated electroencephalography (aEEG) within the first 72 h of life and cranial magnetic resonance imaging (MRI) at term equivalent age. A single-center cohort of 38 infan...

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Bibliographic Details
Published in:European journal of pediatrics 2018-08, Vol.177 (8), p.1181-1189
Main Authors: Hüning, Britta, Storbeck, Tobias, Bruns, Nora, Dransfeld, Frauke, Hobrecht, Julia, Karpienski, Julia, Sirin, Selma, Schweiger, Bernd, Weiss, Christel, Felderhoff-Müser, Ursula, Müller, Hanna
Format: Article
Language:English
Subjects:
Age
Cerebral hemispheres
EEG
Functional anatomy
Gestation
Hemorrhage
Infants
Medicine
Medicine & Public Health
Multiple regression analysis
Neurodevelopmental disorders
Neuroimaging
Newborn babies
NMR
Nuclear magnetic resonance
Original
Original Article
Pediatrics
Premature babies
Regression analysis
Skull
Structure-function relationships
Substantia alba
Substantia grisea
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Summary:To improve the prediction of neurodevelopmental outcome in very preterm infants, this study used the combination of amplitude-integrated electroencephalography (aEEG) within the first 72 h of life and cranial magnetic resonance imaging (MRI) at term equivalent age. A single-center cohort of 38 infants born before 32 weeks of gestation was subjected to both investigations. Structural measurements were performed on MRI. Multiple regression analysis was used to identify independent factors including functional and structural brain measurements associated with outcome at a corrected age of 24 months. aEEG parameters significantly correlated with MRI measurements. Reduced deep gray matter volume was associated with low Burdjalov Score on day 3 ( p  
ISSN:0340-6199
1432-1076
DOI:10.1007/s00431-018-3166-2