Edit : I just change the quality of the images
Hello,
I'm writing to you because I want to preprocess a large EEG dataset from children in an automated way, and your tool seems to be a good candidate for this. I’m currently running some tests with it, but I’m encountering a few issues and wanted to get your input.
The project is in BIDS format and includes four tasks per participant that I’m trying to preprocess automatically. Below are the parameters I set for the project during my tests.

Here is what the EEG folder for a participant looks like.


ran tests on a small subset of participants to see what happens, and I’m currently facing the following situation. Here is the output Automagic

Looking at this, I have a few questions. I should mention that the same behavior occurs for all participants — I’m just using this one as an example. The first thing I noticed is that all the EEG files are roughly the same size, whereas in my case, the resting state file should be significantly larger than the others. Is this normal?
My first intuition was that the pipeline might be preprocessing the wrong files or looping over the same one. So I checked the outputs, and two things surprised me. First, the .png files are all identical across the different tasks, which I found odd. Since all four tasks were completed in a single session, I can imagine the bad channels being the same, but the fact that the filtered EEG data and ICA-corrected clean data are also identical was unexpected.

After seeing this, I checked the .txt files and noticed that the correct files are being processed and that the sanity check scores are different.




So I was wondering if all this behavior is expected, or if the issue might be due to misconfiguration of my dataset or the input parameters for the pipeline.
Best regards,
Djeser
Edit : I just change the quality of the images
Hello,
I'm writing to you because I want to preprocess a large EEG dataset from children in an automated way, and your tool seems to be a good candidate for this. I’m currently running some tests with it, but I’m encountering a few issues and wanted to get your input.
The project is in BIDS format and includes four tasks per participant that I’m trying to preprocess automatically. Below are the parameters I set for the project during my tests.
Here is what the EEG folder for a participant looks like.

ran tests on a small subset of participants to see what happens, and I’m currently facing the following situation. Here is the output Automagic
Looking at this, I have a few questions. I should mention that the same behavior occurs for all participants — I’m just using this one as an example. The first thing I noticed is that all the EEG files are roughly the same size, whereas in my case, the resting state file should be significantly larger than the others. Is this normal?
My first intuition was that the pipeline might be preprocessing the wrong files or looping over the same one. So I checked the outputs, and two things surprised me. First, the .png files are all identical across the different tasks, which I found odd. Since all four tasks were completed in a single session, I can imagine the bad channels being the same, but the fact that the filtered EEG data and ICA-corrected clean data are also identical was unexpected.
After seeing this, I checked the .txt files and noticed that the correct files are being processed and that the sanity check scores are different.
So I was wondering if all this behavior is expected, or if the issue might be due to misconfiguration of my dataset or the input parameters for the pipeline.
Best regards,
Djeser