PPI full factorial analysis of positive correlation with the amygdala; interaction effects for group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the middle frontal gyrus (2a), and lentiform nucleus (2b).

<p>PPI full factorial analysis of positive correlation with the amygdala; interaction effects for group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the middle frontal gyrus (2a), and lentiform nucleus (2b).</p

PPI full factorial analysis of positive correlation with the insula; interaction effect group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the putamen (3a), and precuneus (3b), dlPFC (3c), PCC (3d), nucleus caudatus (3e).

<p>PPI full factorial analysis of positive correlation with the insula; interaction effect group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the putamen (3a), and precuneus (3b), dlPFC (3c), PCC (3d), nucleus caudatus (3e).</p

Whole-brain maps illustrate smaller gray matter volumes in patients with borderline personality disorder (BPD-PTSD) compared to patients with borderline personality disorders and co-occurring PTSD (BPD+PTSD).

<p>For visualization purposes, the statistical maps were thresholded at T>2.5. Size and location of clusters are reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065824#pone-0065824-t001" target="_blank">Table 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065824#pone-0065824-t002" target="_blank">2</a>.</p

Whole-brain maps illustrate smaller gray matter volumes in patients with borderline personality disorders compared to healthy controls (1a) and negative correlations between gray matter volume and the severity of BPD symptoms (1b).

<p>For visualization purposes, the statistical maps were thresholded at T>2.5. Size and location of clusters are reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065824#pone-0065824-t001" target="_blank">Table 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065824#pone-0065824-t002" target="_blank">2</a>.</p

Seed Voxels of the PPI analyses.

<p>(1a); Prefrontal regions with negative coupling to the amygdala (red) insula (yellow) and perigenual ACC (green) in BPD when negative pictures were combined with painful temperature (1b).</p

PPI full factorial analysis of positive interaction with the ACC, interaction effect group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the middle frontal gyrus (4a, 4b) and lentiform nucleus (4c).

<p>PPI full factorial analysis of positive interaction with the ACC, interaction effect group by valence by temperature, mean beta values and standard error of the mean of the peak voxels in the middle frontal gyrus (4a, 4b) and lentiform nucleus (4c).</p

Full Factorial Analysis PPI, significant three-way interaction effects.

<p>Full Factorial Analysis PPI, significant three-way interaction effects.</p

Whole Brain Results of voxel-based analyses of gray matter volume.

<p>ACC = anterior cingulate cortex; k = cluster size.</p

We Don’t Know What You Did Last Summer. On the Importance of Transparent Reporting of Reaction Time Data Pre-processing

  In behavioral, cognitive, and social sciences, reaction time measures are an important source of information. However, analyses on reaction time data are affected by researchers' analytical choices and the order in which these choices are applied. The results of a systematic literature review, presented in this paper, revealed that the justification for and order in which analytical choices are conducted are rarely reported, leading to difficulty in reproducing results and interpreting mixed findings. To address this methodological shortcoming, we created a checklist on reporting reaction time pre-processing to make these decisions more explicit, improve transparency, and thus, promote best practices within the field. The importance of the pre-processing checklist was additionally supported by an expert consensus survey and a multiverse analysis. Consequently, we appeal for maximal transparency on all methods applied and offer a checklist to improve replicability and reproducibility of studies that use reaction time measures.  </p