[color=#000000]Hi Julia,[/color]
[color=#000000]Not sure about this but I would probably start double-checking whether the co-registration between your ROI parcels and your functional data appears to be correct (e.g. in CONN's [i]Setup.ROIs[/i] tab, select your Glasser-parcellation ROI and then click on the menu that reads "[i]ROI tools. display slice viewer with functional overlay[/i]")[/color]
[color=#000000]Hope this helps[/color]
[color=#000000]Alfonso[/color]
[i]Originally posted by juliabb:[/i][quote]Hello,
After a week of desperate troubleshooting, any advice on the following matter would be welcome.
I preprocess my data in SPM and use conn for denoising and extracting timeseries for my ROIs (Glasser parcellation, 1 parcellation per session). All data is in subject space. I have 20 young subjects and 8 resting-state sessions for each of them.
When plotting the timecourses of the ROIs from the left hemisphere (in red) vs the timecourses of the ROIs from the right hemisphere (green), there is always more variability (noise?) in the right hemisphere [file attached]. This is consistent across all subjects and all sessions... Does any of you have an idea where this bias comes from? And how could I correct it or what should I check for additionally?
Any hint would be greatly appreciated. Thank you in advance!
Cheers,
Julia[/quote]
[color=#000000]Not sure about this but I would probably start double-checking whether the co-registration between your ROI parcels and your functional data appears to be correct (e.g. in CONN's [i]Setup.ROIs[/i] tab, select your Glasser-parcellation ROI and then click on the menu that reads "[i]ROI tools. display slice viewer with functional overlay[/i]")[/color]
[color=#000000]Hope this helps[/color]
[color=#000000]Alfonso[/color]
[i]Originally posted by juliabb:[/i][quote]Hello,
After a week of desperate troubleshooting, any advice on the following matter would be welcome.
I preprocess my data in SPM and use conn for denoising and extracting timeseries for my ROIs (Glasser parcellation, 1 parcellation per session). All data is in subject space. I have 20 young subjects and 8 resting-state sessions for each of them.
When plotting the timecourses of the ROIs from the left hemisphere (in red) vs the timecourses of the ROIs from the right hemisphere (green), there is always more variability (noise?) in the right hemisphere [file attached]. This is consistent across all subjects and all sessions... Does any of you have an idea where this bias comes from? And how could I correct it or what should I check for additionally?
Any hint would be greatly appreciated. Thank you in advance!
Cheers,
Julia[/quote]