Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here