< Back to Article

THOI: An efficient and accessible library for computing higher-order interactions enhanced by batch-processing

Fig 5

A) Estimated maximum and minimum via the GA for awake (green) and deep anesthesia state (purple).

Inset shows the reduction of minimum at lower orders of interaction. B) Average maximum (red) and minimum (blue) effect size obtained from a GA tailored to amplify the difference between the two conditions. Shaded areas denote the range from the minimum to the maximum value for each optimization procedure. C) Distribution of for the whole-brain in awake (green) and deep anesthesia state (purple). Each dot is a subject and lines connect their respective value in both conditions. Despite the trend to reduce redundancy, no significant difference was found (Wilcoxon p > 0.001) D) Distribution of the n-plets that maximizes (left) and minimizes (right) the effect size obtained by the GA. E) Same as D, but for the n-plets obtained with the SA algorithm. Order is the number of elements in n-plets, p is the Wilcoxon p-value and d is the Cohen’s d.

doi: https://doi.org/10.1371/journal.pone.0348005.g005