It was very insightful to see where the statistical tools that we use every day come from and why they are the way they are!

🧠♻️ IGOR Symposium
"Open Science Initiatives in Biopsychological Research"
🗓️ Fri, 20.06 | 🕥 10:30–12:00
📍 0.004

@ocklenburg.bsky.social C. Artemenko
@mariame.bsky.social @alinakoppold.bsky.social
@caggursoy.bsky.social @ufangyang.bsky.social
@mreutter.bsky.social @mklingelhoeferj.bsky.social [3/6]

Navigation on the slides is done by using the arrow keys. You can also click the three horizontal lines on the bottom left to open the outline and jump to any section!

For your best experience, the slides are created using RMarkdown/quarto. Thus, the R code on each slide is evaluated and the result is directly shown. You can also easily copy code components from the slides into your R scripts using the copy button on the top right of each code chunk.

Of course, all data, analysis scripts, and further materials are openly available🔓 #openscience
osf.io/4gz7f/

Here is the histogram of social anxiety scores. Almost half of the scores are above the optimal remission cutoff by von Glischinski et al. (2018).

We also observed generalization patterns in heart rate modulation💓 and pupil size changes🥺. Notably, only individuals with high anxiety showed an acceleration component↗️ after initial fear bradycardia↘️, indicating defensive reactions🛡️ on top of orienting responses🧭.

We replicated an attentional bias towards eyes compared to mouth and nose but individuals were able to adjust towards diagnostic facial features. Interestingly, people with high anxiety looked to non-diagnostic regions more quickly (hyperscanning?).

Participants acquired fear quickly and generalized it to morphs of faces (osf.io/wgqnj/wiki/h...) in a curved fashion✅. Highly anxious individuals showed overall higher subjective threat ratings✅ but no difference in generalization patterns compared to lowly anxious ones❌.