Linear and Non-Linear Methods to Discriminate Cortical Parcels Based on Neurodynamics: Insights from sEEG Recordings

• Published in: Fractal and fractional Vol. 9; no. 5; p. 278
• Main Authors: Armonaite, Karolina, Conti, Livio, Laura, Luigi, Primavera, Michele, Tecchio, Franca
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Artificial neural networks; Brain; cortical parcelling; Datasets; deep learning; Electroencephalography; Epilepsy; Fourier transforms; Fractal geometry; Fractals; Frequencies; Investigations; Methods; Neural networks; neurodynamics; Neurophysiology; Power spectral density; sEEG; Signal analysis; Time series; Wakefulness

Understanding human cortical neurodynamics is increasingly important, as highlighted by the European Innovation Council, which prioritises tools for measuring and stimulating brain activity. Unravelling how cytoarchitecture, morphology, and connectivity shape neurodynamics is essential for developin...