Abstract #4275

Anomalous diffusion γ metrics detects physiological and microstructural changes in brain normal aging

Michele Guerreri^1,2, Alessandra Caporale^1,3, Marco Palombo⁴, Emiliano Macaluso⁵, Marco Bozzali⁶, and Silvia Capuani¹

¹CNR ISC UOS Sapienza University of Rome, Rome, Italy, Rome, Italy, ²SAIMLAL Dept., Morphogenesis and Tissue Engineering, Sapienza University of Rome, Rome, Italy, ³SAIMLAL Dept., Morphofunctional Sciences, Sapienza University of Rome, ⁴MIRCen, CEA/DSV/I2BM, Fontenay-Aux Roses, France, ⁵ImpAct Team, Lyon Neurosince Research Center, Lyon, France, ⁶Neuroimaging Laboratory, Santa Lucia Foundation, Rome, Italy

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.

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