Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention

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Figure 4.
Figure 4.

Overlap of edges which significantly correlated with the VTC in dataset 2 and which contributed to predictions of individual differences in performance in dataset 1. Each cell of the matrix represents the number of significant edges between two networks (or within a network, if lying along the diagonal). The left half reflects the count of HAN edges that overlapped with edges that were significantly anticorrelated with the VTC. The right half reflects the count of LAN edges that were significantly positively correlated with the VTC.

  1. The Journal of Neuroscience vol. 44 no. 14
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