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The aging quantitative brain: a multiparametric qMRI study
Ana-Maria Oros-Peusquens*1, Jonas Kielmann*1, and N. Jon Shah1,2,3,4
1INM-4, Research Centre Juelich, Juelich, Germany, 2Faculty of Medicine, JARA, RWTH Aachen University, Aachen, Germany, 3INM-11, JARA, Research Centre Juelich, Juelich, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany
Changes of quantitative parameters and of their correlations in healthy aging are detected and interpreted.
Fig1: Cortical variation of the correlation between the complement of water content (macromolecular content) and R1, described in a linear model with coefficients beta0 and beta1, and by Pearson’s correlation coefficient. We mention that R1 and 1/H2O show a nearly identical correlation to R1 and (1-H2O), although the physical models behind the two dependencies are very different [14] (data not shown). The sensorimotor areas, known to have high myelination, show strong correlation with (1-H2O) (large beta1 and r), accounting for practically all the relaxation rate (small beta0).
Fig3: Age dependence of mean values as well as of coefficients describing the linear dependence between selected pairs of quantitative parameters in ROIs from the left hemisphere. Only correlations with p<0.05 are shown.