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minisharmaa
ParticipantDear Fabian,
In our experiment, we are analyzing the mother-child interaction. As we know MEA only performs quantitative analyses, not qualitative analyses. That means even if two participants will move randomly together without actually getting into synch then also it will show the synchronization between the participants. My question is when we draw the ROI for a mother and a child the area of the mother’s ROI is always greater than the child’s ROI. so when they will move randomly the pixel change in the mother’s ROI will always be greater than the child’s ROI. Is there any way to normalize these two-time series? Also, does the function rescaled in your package perform the same as normalization at its default setting?
Thank you for the help!minisharmaa
ParticipantHi,
Thank you for your response. I understand how we can calculate the directionality. Sorry, I was not clear before, I am trying MEA in the free mirroring experiment. we instruct people to mirror each other’s hand movements and then with the help of MEA we calculate lead/lag or synchrony between them. but the problem we are facing is it does not matter if the two people are exactly mirroring each other or not even if they are doing any random hand movement together (not mirrored) MEA calculates it as synchrony.
I am trying to follow one paper in which they have calculated the Z non-absolute value and refer to positive values as in-phase synchronisation and negative values as anti-phase synchronisation-
Tschacher, W., and Meier, D. (2020). Physiological synchrony in psychotherapy dyads.Psychotherapy Research. 30, 558-573. https://doi.org/10.10503307.2019.1612114.
Also, I am reading your paper in which you have calculated the speed of the movement. it would be really helpful if you can guide how I can calculate the speed of the hand movements of the participants by using MEA.
Video-based quantification of body movement during social interaction indicates the severity of negative symptoms in patients with schizophrenia. doi:10.1016/j.schres.2010.03.032.Thank you for your help!!
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