Additional Supporting Information may be found in the online version of this article.

hbm22188-sup-0001-SuppFig1.tif9723KFigure S1. Selection of the optimal number of M1 clusters, k, using a shifted and scaled version of Pearson's correlation coefficient to measure functional connectivity map similarity prior to clustering. (A) For each value of k, the spatial agreement of clustering solutions generated from test-retest resting state scans collected from 20 neurotypical adults was assessed using Dice's coefficient (dashed black line). A jack knife procedure was used to estimate the variance (solid black line). (B) 3D Illustration of clustering results using the optimal number of clusters (k = 5) for both imaging sessions. A comparison of Figure S1 with Figure 2 demonstrates that similar organization is estimated within M1 regardless of the similarity measure used.
hbm22188-sup-0002-SuppFig2.tif6906KFigure S2. Patterns of functional organization within M1 when searching for different numbers of partitions. Functional organization within M1 is illustrated for (A) test and (B) retest functional connectivity data collected from adults when different numbers of clusters are specified (each row). M1 organization in adults does not change drastically whether we look for three, four, five or six parcels, suggesting that the general organization of M1 is not driven by our choice of k.
hbm22188-sup-0003-SuppVideo1.mpg24134KVideo 1. Animation showing a 360° rotation of the test-retest similarity of the functional segregation of the primary motor cortex in adults using the estimated k. Session 1 is on the left and session 2 is on the right.
hbm22188-sup-0004-SuppVideo2.mpg12840KVideo 2. Animation showing a 360° rotation of the functional segregation of the primary motor cortex using k=5 for typically developing (TD) children (on the left) and children with autism (ASD, on the right).

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