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

Table 3

Brain regions in which degree, clustering coefficient, and betweenness centrality values were significantly increased in the 3-back task and the classification accuracy using each graph metric of these regions.

	Degree	Clustering coefficient	Betweenness centrality
Accuracy	80.36	73.21	60.71
Cost
Gamma
Region	Frontal Mid R	Olfactory L	Precentral R
	Supp Motor Area L	Caudate L	Frontal Inf Tri L
	Rectus R	Frontal Med Orb R	Temporal Pol Sup L
	Fusiform L	Cingulum Ant L	Temporal Mid L
	Thalamus R	Cingulum Ant R	Cerebellum Crus1 L
		Lingual R	Cerebellum 8 R
		Occipital Sup L