[3H4-OS-10b] OS-10

[3H4-OS-10b-01] Differentiable real-space simulation of neurodegenerative diseases

〇Yohei Kondo¹ (1. Nagoya University)

Keywords:Neurodegenerative diseases, Numerical simulation, Inverse problem

In neurodegenerative diseases such as Alzheimer’s and Parkinson’s, lesions begin in localized parts of the brain and gradually spread to adjacent regions. In order to gain a deeper understanding of this pathology and predict its progression, modeling and simulation based on partial differential equations have attracted attention. However, reliable predictions are hampered by lack of information to determine the model details such as spatial inhomogeneity of biochemical parameter values. To address this issue, we aim to derive a simulator based on human brain images, in particular spatial maps of lesions obtained by PET (positron emission tomography) technology. Specifically, we have developed a method for optimizing model parameters and initial conditions using the error back-propagation based on the discrepancy between simulated and observed lesion distributions. By applying this method to brain images from the ADNI project database, we have been able to infer the spatial distribution of biochemical parameters in the human brain, which cannot be directly observed. We will present the results of this work and discuss remaining issues of model selection and loss function design.