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. 2021 May 6;15:625737. doi: 10.3389/fnins.2021.625737

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Copyright © 2021 Wylie, Kronberg, Legget, Sutton and Tregellas.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Example Voxel Inclusion Probability Calculation. Shown are spatial maps for three independent component analysis (ICA) components (ICs), each with a color bar thresholded at the 95th percentile and correlations with cerebrospinal fluid (CSF) and white matter (WM) tissue probability maps. From left to right, displayed are spatial maps for component number 36 from ICA model order 60 (ICA_60,36), ICA_270,81, and ICA_2,1, respectively. ICA_60,36 and ICA_270,81 correlated strongly with CSF and WM, respectively, while ICA_2,1 did not correlate substantially with either noise source (r_CSF = 0.07, r_WM = –0.03). ICA weights for a voxel marked by an asterisk are mapped onto each color bar. For the first IC, this voxel is less than the cutoff for the 95th percentile (IC weight = 0.09, | cutoff| = 0.26, range = ± 1.6). For the second IC, the voxel is within the 95th percentile (IC weight = 0.41, | cutoff| = 0.22, range = ± 1.1). For the third IC, the voxel is outside of the 95th percentile (IC weight = 0.02, | cutoff| = 1.22, range = ± 3.8). Therefore, for this voxel, event A is true for the second IC, while event B is true for the first and second ICs. The marked voxel then has a probability of ½ of being strongly weighted by a noise component, given the three ICs shown. Repeating this calculation for all voxels and all ICs in the analysis yields the Voxel Inclusion Probability Volumes displayed in Figures 4, 5 and Supplementary Figure 6.