Normal intracranial encephalographic activity: oscillations, scale-free behavior and neural network classification

J. M. TENTI; M. A. BAB; M. ARLEGO

CABA

Congreso; International Conference of Network Science (NetSci-X 2023); 2023

In this work, normal intracranial electroencephalographic (iEEG) activity is analyzed in different states of wakefulness and sleep. For this, the database Atlas of iEEG normal activity [1] is used, which compiles iEEG temporal series of patients with refractory epilepsy, during periods free of epileptic seizures, ranging from the waking state and three sleep states: non-REM N2, non-REM N3 and REM. The aim of the work is to characterize the different states using a variety of tools including frequency bands analysis, the study of scale-free behavior, and classification with neural networks. The main methods and results are illustrated below, together with the database used.