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structural parcellation file #245
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Have you already source localised / parcellated your data? Now you'd like to plot a power map for the source localised data?
However, if it's not on the list, you can pass the full path to the file on your computer instead, e.g. if the parcellation was in my "Desktop" directory, i can pass:
Note, this parcellation files must be a 4D image containing the masks for each parcel.
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Thank you very much for your reply. I did use DyNeMo model and TDE-HMM model to explore the hidden state fireworks dynamics of EEG data after locating the source of EEG data through brainstorm. However, according to your reply, I will:
However, the following problems were encountered:
You mentioned "Note, this parcellation files must be a 4D image containing the masks for each parcel." |
Thank you very much for your reply! |
I would resample the parcellation file to match
and use
Unfortunately DyNeMoC's not supported in this repo. Note, it's a simple extension to take the inferred |
I'm sorry for the continued issue despite resampling the brain region file as per your guidance. Additionally, I appreciate your assistance with DyNeMoC-related inquiries. I'll delve deeper into these models to enhance my understanding. |
Okay, resampling both they should definitely match i think:
What do you get for
Note, you need to recompute your source reconstruction with this new parcellation file then pass
when you plot. |
I am truly sorry that despite re-sampling the brain region file according to your instructions, the problem still exists.
IndexError: boolean index did not match indexed array along dimension 0; dimension is 39676 but corresponding boolean dimension is 7221032 其中: miss@DESKTOP-9FIJ8CQ:~$ fslinfo Schaefer2018_200Parcels_7Networks_order_FSLMNI152_1mm_resampled.nii.gz I have also checked the parcellation file of schaefer200MNI, and there is still the same problem. I don't know what the problem is except for the problem. I'm really sorry to bother you for so long. |
When I try to calculate power_maps and coh_maps using EEG data after source localization (using the Schaefer2018_200Parcels template), ”Importing Schaefer2018_200Parcels_7Networks_order_FSLMNI152_1mm.nii.gz results in a 'file not found' error."
In the FAQ section "Can I use a structural parcellation (e.g. AAL or Desikan-Killiany atlas)?" ,it is mentioned that having too many parcels from source localization can also have an impact.
Is there any problem with my understanding? If you can solve the above doubts, thank you very much.
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