Journal: Biological psychiatry

Article Title: The functional brain organization of an individual allows prediction of measures of social abilities transdiagnostically in autism and attention/deficit and hyperactivity disorder

doi: 10.1016/j.biopsych.2019.02.019

Figure Lengend Snippet: For SRS (A.) and ADOS (B.), edge overlap within (i./iii.) and between (ii./iv.) ten a priori atlas networks and our CPM networks are plotted for +ve (i./ii.) and −ve (iii./iv.) feature sets. Each layered plot shows the cumulative (sum) likelihood (1.0-Pvalue) estimated from the probability of edges being shared between a priori networks and each SRS/ADOS sub-scale network. Likelihoods greater than chance are indicated with an asterisk. Notice that in all plots, networks, and internetwork pairs, are ordered from greatest to least cumulative likelihood (i.e. the x-axis is ordered differently in each plot). Inlays show the edges of example SRS/ADOS +ve/−ve sub-scale networks as circle-plots as well as edges/nodes overlaid on glass brains.

Article Snippet: Significance was determined using the hypergeometric cumulative distribution function (hygecdf, MATLAB, Bonferroni correction for 55 comparisons).

Techniques:

Journal: Biological psychiatry

Article Title: The functional brain organization of an individual allows prediction of measures of social abilities transdiagnostically in autism and attention/deficit and hyperactivity disorder

doi: 10.1016/j.biopsych.2019.02.019

Figure Lengend Snippet: As in Figure 1.A./​/B.,B., (A.) LOO cross-validation CPM results for ADHD sub-scale scores. For each sub-scale (i.-iii.) the sum of the predicted ADHD score from the +ve/−ve models are plotted against known score. As in Figure 2.A., (B.i.) Correlation (R-value) of split-half cross-validation CPMs (n=200) for each ADHD sub-scale and null results from shuffled data (n=1,000). As in Supplementary Figure 1.A., (B.ii.) correlation matrix of ADHD behavior sub-scale scores. As with SRS and ADOS, ADHD sub-scale scores are highly correlated. As in Supplementary Figure 7.A.i./B.i., (C.) shows layer plots of the cumulative number of edges versus edge length for ADHD sub-scale networks. Networks with edge lengths which are not normally distributed are denoted by a cross (☨). For all not normally distributed networks, edges are skewed towards longer lengths. None of the networks are prone to outliers. There is a difference between +ve and −ve feature set edge lengths for all sub-scale networks (P<4E-03). As in Figure 3., (D.) ADHD edge overlap within (i./iii.) and between (ii./iv.) ten a priori atlas networks and ADHD networks are plotted for +ve (i./ii.) and −ve (iii./iv.) feature sets. Inlays show the edges of example sub-scale networks as circle-plots as well as edges/nodes overlaid on glass brains.

Article Snippet: Significance was determined using the hypergeometric cumulative distribution function (hygecdf, MATLAB, Bonferroni correction for 55 comparisons).

Techniques: Biomarker Discovery