Computational Intelligence and Neuroscience / 2018 / Article / Tab 3

Research Article

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



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

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.