Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

Figure 1

The overview of the method. Here is the number of brain regions and is a decision variable which determines whether the corresponding regional graph metric, element, should be selected or deselected. States A and B correspond to the low- and high-WM load conditions, respectively.