27 research outputs found
Correlations between Media multitasking index scores and Big Five Inventory scores.
<p>Correlations between Media multitasking index scores and Big Five Inventory scores.</p
VBM regression analyses revealed that MMI scores were significantly associated with gray matter density in the ACC (t(70)β=β5.16, P<sub>FWE-corrected</sub> <0.05, Cluster sizeβ=β158 voxels x 1.5<sup>3</sup>β=β533 mm<sup>3</sup>; peak MNI coordinate: xβ=β12, yβ=β41, zβ=β3).
<p>Adjusted gray matter density in the peak voxel (Y-axis) was negatively correlated (<i>r</i>β=ββ0.54, <i>p</i><0.001) with MMI scores (X-axis).</p
Comparisons between demographic characteristics and MMI scores of participants involved in VBM analyses and functional connectivity analyses.
a<p>Mean (standard deviation) for age and MMI scores.</p><p>Comparisons between demographic characteristics and MMI scores of participants involved in VBM analyses and functional connectivity analyses.</p
Regression analyses revealed that connectivity between the ACC ROI and the Precuneus (intersection of blue lines) was negatively associated with MMI scores (Precuneus; t(40)β=β5.22, P<sub>FWE-uncorrected</sub><0.001, Cluster sizeβ=β159 mm<sup>3</sup>; Peak MNI coordinate: xβ=β10, yβ=ββ50, zβ=β18).
<p>There was a negative relationship (<i>r</i>β=ββ0.68, <i>p</i><0.001) between adjusted Z-transformed ACC-Precuneus correlations (Y-axis) and MMI scores (X-axis).</p
Datafiles for Loh and Kanai (2014)
<p><strong>Datafiles for Research Study:</strong></p>
<p>Loh and Kanai (2014)Β Higher media multi-tasking activity is associated with decreased gray-matter density in the anterior cingulate cortex.</p>
<p><strong>Files Included:</strong></p>
<p>1. Processed Structural Images for VBM Regressions (<em>smwc...nii files</em>)</p>
<p>2. Template File for VBM (<em>Template_6.nii</em>)</p>
<p>3. Spreadsheet with Variables for VBM regression (<em>Variables for VBM regressions.xlx</em>)</p>
<p>4. Processed Beta images showing correlated activity with ACC region of interest for functional connectivity regression (<em>BETA....nii files</em>)</p>
<p>5. Spreadsheet with Variables for functional connectivity regressions (<em>Variables for Resting State Functional Connectivity Regressions.xlx</em>)</p>
<p>Β </p
Brain regions exhibiting functional connectivity with ACC ROI.
<p><i>p<sub>FWE-corrected</sub></i><0.05.</p><p>Brain regions exhibiting functional connectivity with ACC ROI.</p
A schematic diagram of the experimental paradigm.
<p>Left: Contrast Discrimination task, Right: Orientation Discrimination task. Participants made a two-interval forced choice judgment on which temporal interval (i.e. first or second) contained the grating that popped out in contrast (left panel) or orientation (right panel).</p
Scatter-plot of the two partial correlations performed on the A. contrast task and B. orientation task where change in SE was the predictor variable and change in VDS was the predicted variable in the.
<p>Each dot represents one participant. In both tasks SE moderately predict VDS.</p
A schematic depiction of the experimental timeline as a function of time.
<p>A schematic depiction of the experimental timeline as a function of time.</p
Magnitude of mean change in visual discrimination sensitivity across groups in the A contrast and B orientation task.
<p>Error bars represent the confidence intervals surrounding the means (CIβ=β95%). For both tasks, participants assigned in the high SE groups exhibited the greater increase in magnitude in VDS (decrease in discrimination threshold).</p