Correlations between variables entering the logistic regression model.

<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant correlation >0.6.</p><p>Correlations between variables entering the logistic regression model.</p

Mean daily computer screen time (hours) of the normal and psychopathology groups, at different developmental stages.

<p>* Borderline significant difference; ** Significant difference; Error bars represent ±1 standard error. CST–Computer Screen Time.</p

Predicted average daily computer screen time hours based on the normal group age regression model.

<p>CST–Computer screen time.</p

Cerebral Autoregulation Real-Time Monitoring - Fig 5

<p>Left—MAP and CFI data over time throughout the study. MAP was increased to 140mmHg followed by a return to baseline and a decrease to 40mmHg. Dashed green lines represent initial injections of Phnylephrine and Nitroprusside respectively. Blue points represent all MAP values. Red points are associated with periods in which the algorithm identified a significant MAP change and a correlation index (ARI) can be calculated. Right—Scatter plot of CFI versus MAP revealing two distinct slopes obtained for values under of over 100mmHg. This point was defined as the upper limit of autoregulation (ULA).</p

optical and acoustic properties of the phantom and the tissue[32, 33].

<p>optical and acoustic properties of the phantom and the tissue[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0161907#pone.0161907.ref032" target="_blank">32</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0161907#pone.0161907.ref033" target="_blank">33</a>].</p

Boxplot for autoregulation index values calculated for the two to cFLOW-AR sensors.

<p>Pink astrics represent averaged ARI for each condition. A distinct separation between the conditions is apparent.</p

Averaged CFI values obtained in <i>in-vitro</i> experiment.

<p>Averaged CFI values obtained in <i>in-vitro</i> experiment.</p