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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