Next, we addressed whether 1) overall network connectivity, or density, was predictive of behavioral performance and 2) if so, did specific hubs contribute greater variance than others in terms of explaining this effect. Critically, demonstrating a link between memory performance and overall network connectivity would provide strong evidence for the importance of increases in connectivity in individual participants to memory performance. We first employed simple linear regression to test if the density of individual networks could significantly predict behavioral accuracy. We did this by regressing each participant's performance against the total percent connectivity of the individual network (see Methods). We found a significant linear relationship between participant performance and the overall connectivity within their network, which is depicted in the scatterplot in Figure 3. These results indicate that the density of connections explained 33% of the variance (R2 = 0.33, F(1,15) = 6.90, p = 0.020, β = 0.22) in participant performance. This relationship was not driven by outliers as it was still significant using robust regression (p = 0.033).
