Abstract #1273
Clustering analysis of human infant brain maturation based on multi-parametric MR images
Jessica Lebenberg 1 , Cyril Poupon 2 , Bertrand Thirion 3 , Franois Leroy 1 , Jean-Franois Mangin 4 , Ghislaine Dehaene-Lambertz 1 , and Jessica Dubois 1
1
Cognitive Neuroimaging Unit U992, INSERM-CEA,
Gif-Sur-Yvette, Essonne, France,
2
UNIRS,
CEA, Gif-Sur-Yvette, Essonne, France,
3
Parietal,
INRIA, Gif-Sur-Yvette, Essonne, France,
4
UNATI,
CEA, Gif-Sur-Yvette, Essonne, France
The human brain rapidly matures during the first
post-natal weeks. Microstructural and physiological
changes considerably affect MRI parameters offering the
possibility to non-invasively follow brain maturation in
healthy infants. Here, we propose to combine
complementary quantitative parameters related to DTI and
relaxation times to characterize maturation without
spatial a priori across the brain, including both the
cortex and white matter. We reproduced results obtained
in post-mortem studies: the first mature regions
included primary regions; the maturation progressed
rapidly but differently depending on brain regions. In
future analyses, we will propose new brain partitions
based on such maturation patterns.
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