Ricardo Coronado-Leija1, Santiago Coelho1, Omar Narvaez2, Jorge Larriva-Sahd3, Alonso Ramirez-Manzanares4, Luis Concha3, Dmitry S. Novikov1, and Els Fieremans1
1Radiology, New York University School of Medicine, New York, NY, United States, 2University of Eastern Finland, Kuopio, Finland, 3Instituto de Neurobiologia, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico, 4Centro de Investigacion en Matematicas, Guanajuato, Mexico
1Radiology, New York University School of Medicine, New York, NY, United States, 2University of Eastern Finland, Kuopio, Finland, 3Instituto de Neurobiologia, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico, 4Centro de Investigacion en Matematicas, Guanajuato, Mexico
Standard Model (SM) parameters, estimated with a machine learning approach on ex vivo dMRI, detected longitudinal changes caused by axonal degeneration on a rat retinal ischemia model. SM parameters were sensitive to axon loss, presence of microglia, and increased orientation dispersion.
Figure 4. Maps for $$$f$$$, $$$p_2$$$ and $$$D_a$$$ of the SM at the level of the optic nerves for one animal at each time point. For 7 and 30 days post-injury, these maps show clear difference between the intact/left (L) and injured/right (R) nerve.
Figure 5. Spearman correlations between histology derived metrics and SM parameters, bold values indicate p<0.05. $$$f$$$, $$$p_2$$$ and $$$D_a$$$ correlate significantly with most histology values. In particular all three show high correlations with axon density. The histology metric most directly related to the SM model, $$$f_{hist}$$$, correlates positively and significantly with its SM counterpart $$$f$$$, indicating axonal loss.