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. 2017 Jul 17;20(10):769–781. doi: 10.1093/ijnp/pyx059

Figure 1.

Figure 1.

Distribution of weighted linear summations (WLS) calculated by functional connections. (a) The white and black bars denote the number of typically developing (TD) and autism spectrum disorder (ASD) individuals in the Japanese dataset, respectively. A horizontal axis denotes WLS score. If the WLS score is positive, an individual is classified as having ASD, while a negative WLS score indicates TD. (b) A histogram shows the distribution of WLS scores for the US ABIDE dataset. (c) The density distribution of WLS when applying the ASD classifier to various psychiatric conditions, such as ASD, schizophrenia (SCZ), ADHD, and major depressive disorder (MDD). In each panel, TD/HC distribution is gray and ASD distribution is red. The distribution of other psychiatric conditions (i.e., SCZ, ADHD, and MDD) is colored with blue, green, and yellow, respectively. Area under the curve (AUC) values are based on the classification between each psychiatric condition and TD/HC. P values are obtained by the Benjamini-Hochberg-corrected Kolmogorov-Smirnov test. The TD distribution of WLS at each panel is adjusted to have the same median and SD for the visualization purpose. Adapted, with permission, from Figures 1 and 5 in Yahata et al. A small number of abnormal connections predicts adult autism spectrum disorder. Nature Communications, DOI: 10.1038/ncomms11254 (2016).