What lies underneath: Precise classification of brain states using time-dependent topological structure of dynamics
Fig 3
Measuring the changes in the IS underlying brain activity.
The brain activity registered through fMRI is mapped into seven brain networks using Yeo’s 7-network parcellation. For each subject, given the timeseries of the activity and the structural connectivity matrix, Lotka-Volterra Transform produces the αi values at each instant. This allows the study of the Information Structures evolution in time. Machine learning is used to train classifiers identifying the state of each subject.