There was a mistake in Figure 4 as published. During figure assembly, the whole-brain ICC map of the FC metric in Figure 4 was inadvertently replaced by an incorrect image. The histograms and quantitative analyses shown in the figure were generated from the correct FC data and are unaffected. The error only involved the visualization of the FC whole-brain ICC map.
Figure 4.
Effect of normalization strategies on intraclass correlation coefficients (ICCs) of the amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC). (Upper) The left column showed the ICC values in each voxel after Prenorm and the right column for Postnorm. Each row for temporal signal-to-noise ratio (tSNR), ALFF, ReHo, and FC, respectively. The “fair reliability” mean means 0.2 < ICC < 0.4, “moderate” means 0.4 < ICC < 0.6, “substantial” means 0.6 < ICC < 0.8, and “almost perfect” means ICC > 0.8. (Bottom) Histogram of ICC. For each rs-fMRI index, the histograms of ICC for both normalization strategies were shown. For tSNR, ALFF, and ReHo, histograms within whole brain and gray matter regions were illustrated. For FC, besides whole brain, we focused on default mode network (DMN) regions to exclude regions with the very small FC values, as well as the controversial negative FC regions. According to a paired t-test, ICC of tSNR, ALFF, and ReHo is significantly higher when Postnorm is used compared to those when Prenorm is used. In contrast, FC showed no significant difference.
The corrected Figure 4 appears below.
The original version of this article has been updated.
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Footnotes
Edited and reviewed by: Ching-Po Lin, National Yang-Ming University, Taiwan
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