Figure 3. Number of time points.

(a) The correlation between the output of the two-point algorithm on the fully processed data, with right FFA and right OFA as the targets on the x-axis (each dot represents the number of simulated feedback events for one participant, for one rest scan, 34 participants × 2 rest scans), and the composite measure (correlation of right FFA to right OFA, minus the average correlation of FFA to the control region and OFA to the control region) for each participant, for each rest scan. (b) Same as (a), but x-axis now shows the output of the algorithm using three time points instead of two (three-point algorithm). (c) The value for each of the 55 possible target pairs of the correlation between the two-point algorithm output and the composite measure (an example of which was shown in (a)), and the correlation between the three-point algorithm output and the composite measure (and example of which was shown in (b)). The right FFA/OFA pair shown in (a) and (b) is marked in red. Black line is the identity line, note that almost all dots (representing almost all target pairs) are to the right of the line, indicating the correlations are higher for the two-point algorithm. (d) Same as (c), but using the minimally processed data as input to the two-point and three-point algorithms right FFA/OFA target pair marked in red. Note that again correlation is higher for the two-point method for most target pairs.