Our workshop will begin with a presentation by Dr. Maria Ercsey-Ravasz on recently published methods for analyzing functional network (FN) dynamics in the brain (Varga et al., Cell Systems, 15, 1–17, 2024). This approach considers time lags when constructing functional brain networks and utilizes the statistical distribution of network properties rather than analyzing a single, averaged...
During this lecture and workshop, we will introduce Fractal Space Curve Analysis (FSCA), a novel methodology for characterizing multidimensional data—particularly neuroimaging data—by examining their fractal properties. The core concept of FSCA is to transform multidimensional data (e.g., 2D, 3D, or 3+1D scans) into one-dimensional time series using space-filling curves (SFCs), primarily the...
