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translationalneuromodeling / tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science
https://translationalneuromodeling.github.io/tapas/
GNU General Public License v3.0
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Value 0 in repiratory phase calculation for highly sampled data #261

Open CarolineLndl opened 7 months ago

CarolineLndl commented 7 months ago

Dear developers,

I've been using the toolbox for many years, but I'm facing a new problem. In this dataset, Physiological recordings (finger pulse sensor + belt for the resp) and EMG data were recorded simultaneously, leading to a very high sampling rate (2500Hz). I've used "custom" option with a .txt file for puls, resp and time and I get no error when I run the script. When look into the phase calculation, I saw some weird results and in this participant for example, you can see 0 values in the phase calculation of the respiratory data (while the raw data is very good). When I down sampled x10 (250Hz) the problem seems to disappear. Do you think that it can be related to the sampling rate of the data or did I miss something else? Thank you in advance!

Caroline output_Tapas_fmri_CL.pdf

mrikasper commented 6 months ago

Dear Caroline,

Thank you for being a loyal PhysIO user - I am happy to hear it has been a useful tool to you for many years.

Also, my apologies for the delayed reply. This is an interesting behavior. What strikes me is that there are only a few sections of the time series affected, for example, between scan 60 and 80. Would you be able to provide the Matlab figs or even the complete physio_out folder for the analysis with and without downsampling, so that I can have a closer look at the data and zoom into these regions?

Thank you so much for your help!

All the best, Lars

CarolineLndl commented 6 months ago

Dear Lars, You can find the outputs here: https://mcgill-my.sharepoint.com/:f:/g/personal/caroline_landelle_mcgill_ca/EjVi1nZD-wJLka6piE_7z1EB-YNmNZVWqtZwUW4Iw0Djiw?e=ajDTwo

it inlcudes the .mat output from Physio + the figures

Thank you a lot for your help ! Best, Caroline