Dominik Bach

Hi Mark. PsPM has moved to github: https://github.com/bachlab/PsPM Kindly post your follow-up questions there and please make sure you use the latest version of the software. Regarding your question, I was not sure what you wanted to infer: tonic arousal during the 1-minute VR experience (which would favour the SF-DCM module in PsPM), or event-related arousal? Dominik

This software has moved to https://github.com/bachlab/PsPM. Please make sure to use the latest version available there, and please post all remaining questions on https://github.com/bachlab/PsPM/discussions.

PsPM has moved to GitHub; could you post your question there? https://github.com/bachlab/PsPM

Hi Maria thanks for reaching out. Could you kindly share your full script, either on Github (https://github.com/bachlab/PsPM) or via email? This sourceforge page is not serviced regularly any longer. Best wishes Dominik

Hi Anna it is not obvious that slow fluctuations of the pupil size would influence your GLM estimates at all. Korn & Bach 2016 and Korn et al. 2017 did not find that a high-pass filter improves the validity of the ensuing estimates. So you may also do without. (But perhaps there is a specific reason if filtering turns out to be better in your case.) Dominik

Hi Marleen sorry for the late reply. Separating SCR in short succession and determining their amplitude is a great application of PsPM. However, what you need (as with any peak-scoring analysis) is a clear idea of when the SCR occur. Often this is precisely mandated by the experimental timing, but in your case, the pre-stimulus anticipation and the dynamic nature of the stimuli appear to preclude such deterministic approach, and DCM which allows to estimate the timing from the data, could be more...

Hi Tanja SCR amplitude or magnitude measures from peak-scoring analysis are sometimes square-root or log-transformed to render their distribution more "normal", similar to a link function in a generalised linear model. However, I am not aware of any systematic investigation under which conditions this is meaningful or necessary - and the choice often seems to be based on tradition. This is why PsPM does not transform the estimates and leaves this to the user. In peak-scoring (and DCM), the distribution...

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