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. 2021 Nov 1;4:1244. doi: 10.1038/s42003-021-02751-5

Fig. 1. End-to-end workflow for identifying spatio-temporal seizure propagation patterns in focal drug-resistant epilepsy patients.

Fig. 1

Diffusion MRI and SEEG data are collected for each patient. From this data, structural connectome and the transformation from source-to-sensor space is computed. SEEG recordings are preprocessed to extract data features such as log power over a sliding window, which could be modeled using 2D Epileptor. A generative model is defined over the 2D Epileptor parameters and observed SEEG log power using a PPL called Stan. Model inversion is performed using maximum a posterior techniques to identify 2D Epileptor parameters that best explain the observations. PPL, probabilistic programming language; SEEG, stereotactic electroencephalography; TVB, The Virtual Brain.