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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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