An Optimized Dictionary-Based Model Identification Method in the Scope of Brain Effective Connectivity

In the context of epilepsy, understanding the interactions among different brain regions during epileptic seizures is often crucial to identify brain regions involved in the seizure onset. In this letter, we propose a dictionary-based method to detect and reconstruct the relationships between brain regions during epileptic seizures based on electroencephalographic signals. To this end, a proximal alternating linearized minimization algorithm is used to quantify the relations between each of the dictionary candidates. Then, by introducing an adaptive threshold, an estimation of the involvement of the different brain regions in the seizure onset is performed, which proves to be consistent with the clinical expertise.