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

<div><i>Functional connectome</i>. Degrees of connectivity of the group-averaged connectome for the 2-back (a) and 3-back tasks (b) are shown. Node colors indicate distinct clusters identified using Newman algorithm implemented in Brain Connectivity Toolbox. Edges reflect correlation coefficients higher than 0.5.</div>

Computational Intelligence and Neuroscience

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Figure 5

Figure 5: Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm 

Figure 5 | Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm 