The intent of this study was to test the potential of parameters extracted by the so-called anomalous diffusion (AD) stretched exponential γ-imaging model, to detect microstructural modifications occurring in brain during normal aging. Conventional DTI metrics was also considered. 27 healthy volunteers with age range 21-77y underwent DW acquisitions. Parametric maps of Mean γ (Mγ) and γ Anisotropy (γA) were obtained and a quantitative analysis was carried in different regions of White and Deep Grey Matter. We found that AD and DTI parameters correlations with age indicate changes in different brain regions diversifying thus aging patterns.