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. 2023 Oct 3;44(17):5729–5748. doi: 10.1002/hbm.26472

FIGURE 4.

FIGURE 4

Assessment of subject‐level intrinsic connectivity networks (ICNs) estimated using multivariate‐objective optimization ICA with reference (MOO‐ICAR). The left and right columns are the results of original ICNs estimations and after applying post hoc spatial smoothing. (a) The average spatial similarity between subject‐level estimations and the template using different data lengths (from 25 to 1150 time points). The green shaded area represents its standard deviations, and the blue and red dot lines represent the fitted curve and its extrapolation. (b) The same plot as (a) but for one ICN as an example. (c) While the spatial similarity between single‐subject estimations and templates increases as the length of data increases, different ICNs show different patterns. Here, we show an average similarity as a function of time for a few randomly selected ICNs with and without spatial smoothing. (d) The sampling rate (TR) effect on the spatial similarity between template and subject‐level estimations. A high resolution of the figure can be found in Supporting Information S5.