Contour Detection Thresholds.

<p>Mean contour detection thresholds are plotted for 28 healthy controls (circles), 13 first-degree relatives (squares), and 25 patients with schizophrenia (triangles) for the Parallel (red), Random (gray), and Orthogonal (blue) conditions. Example contours with 4.5° jitter (bottom) and 31.5° jitter (top) are shown along the y-axis. Error bars are S.E.M. Double asterisk indicates significant differences in Random condition thresholds between schizophrenia patients and both healthy controls and first-degree relatives, single asterisk indicates a significant difference in Orthogonal condition thresholds between patients and relatives. Corrected for multiple comparisons via Tukey’s HSD, <i>p</i> < 0.05.</p

Contextual Modulation Indices.

<p>Mean indices are plotted for 28 healthy controls (circles), 13 first-degree relatives (squares), and 25 patients with schizophrenia (triangles) in the Parallel (red) and Orthogonal (blue) conditions. Negative indices indicate conditions where contour detection was suppressed relative to the Random condition, whereas positive indices indicate enhanced contour perception. Asterisk indicates a significant difference between schizophrenia patients and healthy controls, corrected for multiple comparisons via Tukey’s HSD, <i>p</i> < 0.05. Error bars are S.E.M.</p

Computational Modeling.

<p>Computational model predications based on parameters from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068090#tab2" target="_blank">Table 2</a> for 28 control subjects (green solid lines) and 25 schizophrenia patients (purple dashed lines). A) Equation 1 was fit to contour detection task data in all three flanker conditions from healthy controls (circles) and patients with schizophrenia (triangles). Plotted thresholds are identical to those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0068090#pone-0068090-g002" target="_blank">Figure 2</a>. Error bars are S.E.M. B) Bootstrapped estimates of <i>T</i>₀, <i>c</i>_<i>s</i> and σ_<i>s</i> were used to calculate flanker suppression orientation tuning distributions (in arbitrary units) for the control and patient groups. Lines plot the mean bootstrapped tuning curves for patients and controls. Shaded regions illustrate 1 standard deviation of the bootstrapped distributions for each group. Gray arrows indicate corresponding positions in both panels.</p

Averaged network measures changes across three load levels in HC and SZ.

<p>Solid lines between WM load levels indicate significant increases/decreases (<i>p</i><0.05), and dotted lines indicate no significant changes when WM load levels increases.</p

The spatial mask applied to build network.

<p>The spatial mask applied to build network.</p

Original (top) and sorted (bottom) blocks order.

<p>Time courses sorted according to the WM loads within each run. Details are enlarged on the right.</p

The 3 selected components and their averaged time courses from Group ICA.

<p>The 3 selected components and their averaged time courses from Group ICA.</p

Demographics of Subjects and Symptom Scores for SZ.

<p>Demographics of Subjects and Symptom Scores for SZ.</p

Network measures between SZ at high load and HC at medium load.

<p>Green dots above indicate significant group difference (<i>p</i><0.05, FDR corrected) and pink dots above indicate marginally group difference (<i>p</i><0.1, FDR corrected) between HC and SZ at that observation.</p

Group comparison on network measures at medium load.

<p>Network measures on individual observations as a function of degree between groups on WM load level 3. Green dots above indicate significant group difference (<i>p</i><0.05, FDR corrected) and pink dots above indicate marginally group difference (<i>p</i><0.1, FDR corrected) between HC and SZ at that observation.</p