Scatter plots of the significant correlation between ROI modulation and error rates in prediction trials for all subjects.

<p>The complete list is in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039854#pone-0039854-t003" target="_blank">Table 3</a>. Note that, for ROIs that showed task-related <i>deactivation</i>, the correlation is plotted between error rates and the <i>deactivation</i> level. In other words, the larger the number on the x axis, the larger the <i>deactivation</i>.</p

Contrast images averaged over all subjects.

<p>A. Prediction trials – Perception trials. B. Perception trials – Prediction trials. The detailed description of each region is in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039854#pone-0039854-t002" target="_blank">Table 2</a>.</p

Summary of brain activation during prediction and perception trials, with the likely Brodmann Areas indicated in the parentheses.

<p>Peak coord: peak coordinates; p: corrected p value; % mod: % modulation.</p

Task design (“Prediction” trials).

<p>Each trial started with the appearance of the FP. After 0.5 s, a square appeared near the edge of the screen and moved across the screen at a constant direction and speed. An invisible occluder was at the center of the screen (the rectangle with the dashed line), and the square disappeared from view as it encountered the occluder. Subjects were instructed to assume that the square kept moving behind the occluder. After 2 to 4 sec., the FP turned off and five targets appeared. Subjects pressed appropriate buttons to indicate which target was closest to the final position of the square. In “perception” trials, no occluder was present and the square was visible throughout the trial.</p

Correlations between regional brain activity and error rates.

<p>Error rates during the prediction trials were used in this analysis, except when we calculated the correlation between error rates and the differential activity of “Perception” – “Prediction”, in which case the error rates in perception trials were used.</p

Additional file 1: of Changes in resting state functional connectivity after repetitive transcranial direct current stimulation applied to motor cortex in fibromyalgia patients

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Box plot illustrating cold pain thresholds variations related to placebo and real tDCS.

<p>Statistically significant changes occurred in the cold pain thresholds of the left face (<i>p</i> = 0.012) throughout the experiment.</p

Correlation between placebo and real tDCS-induced MOR activation.

<p>MOR BP_ND during placebo (x axis) and real (y axis) tDCS for each subject in the clusters of μ-opioid activation induced by placebo (A–C) and real (D–F) tDCS. The same clusters are illustrated in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102350#pone-0102350-g002" target="_blank">figure 2</a>. Positive correlations can be observed in precuneus and PAG (red lines) but not in thalamus and PFC (blue lines). Statistically significant values at p<0.05 were found in the PAG cluster activated during placebo tDCS (r_p = 0.760, p = 0.013, 3B) and in the precuneus cluster activated during active tDCS (r_p = 0.788, p = 0.008, 3D).</p

Changes in the μ-opioid receptor availability induced by placebo (A–C) and real (D–E) tDCS.

<p>A and D, Representation of precuneus MOR activation in the sagittal plane. B and E, PAG MOR activation in the axial plane. C, Left thalamus (Thal) MOR activation in the coronal plane. F, Left prefrontal cortex (PFC) MOR activation in the axial plane. All images are radiological in orientation, threshold T 3–8.</p

Box plot representing tDCS (placebo and real) effects in the heat pain thresholds of both sides of the face.

<p>Statistically significant changes occurred in the heat pain thresholds of the left face (<i>p</i> = 0.032).</p