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

<div><i>Anatomical location of the brain regions selected by the method</i>. Each sphere indicates the anatomical location determined by the automated anatomical labeling (AAL) atlas. Red spheres indicate the regions selected by our method. Each panel shows regions selected using one of the graph metrics: degree (a), clustering coefficient (b), and betweenness centrality (c).</div>

Computational Intelligence and Neuroscience

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Figure 6

Figure 6: Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm 

Figure 6 | Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm 