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Dear Sebenius,
I apologize for any inconvenience caused by reaching out to you. I am currently encountering an issue with retrieving cortical thickness values for each vertex within every brain region after smoothing.
Below is the code I am using:
However, I am encountering the following error: hemi_data[i + 1] = hemi_data_dict[feature]
ValueError: could not broadcast input array from shape (163842,) into shape (138345,)
It seems that this error arises from the dimensions of .thickness.fwhm10.fsaverage.mgh being 1638421, while lh.aparc.annot has dimensions of 138345*1.
Would you happen to have any insights on how to resolve this issue?
Looking forward to your response.
Best regards,
Yanxi
2024.05.07
The text was updated successfully, but these errors were encountered:
Dear Sebenius, I apologize for any inconvenience caused by reaching out to you. I am currently encountering an issue with retrieving cortical thickness values for each vertex within every brain region after smoothing. Below is the code I am using:
However, I am encountering the following error: hemi_data[i + 1] = hemi_data_dict[feature] ValueError: could not broadcast input array from shape (163842,) into shape (138345,) It seems that this error arises from the dimensions of _.thickness.fwhm10.fsaverage.mgh being 163842_1, while lh.aparc.annot has dimensions of 138345*1.
Would you happen to have any insights on how to resolve this issue? Looking forward to your response. Best regards, Yanxi 2024.05.07
I think I understand now. I should read lh.aparc.annot in the fsaverage space instead of individual space.
Dear Sebenius,
I apologize for any inconvenience caused by reaching out to you. I am currently encountering an issue with retrieving cortical thickness values for each vertex within every brain region after smoothing.
Below is the code I am using:
surf_dir = 'K:/NC11'
features = [('K:/NC11/surf/lh.thickness.fwhm10.fsaverage.mgh','K:/NC11/surf/rh.thickness.fwhm10.fsaverage.mgh')]
parcellation = 'aparc'
vertex_data, regions, features_used = get_vertex_df(surf_dir, features, parcellation)
However, I am encountering the following error:
hemi_data[i + 1] = hemi_data_dict[feature]
ValueError: could not broadcast input array from shape (163842,) into shape (138345,)
It seems that this error arises from the dimensions of .thickness.fwhm10.fsaverage.mgh being 1638421, while lh.aparc.annot has dimensions of 138345*1.
Would you happen to have any insights on how to resolve this issue?
Looking forward to your response.
Best regards,
Yanxi
2024.05.07
The text was updated successfully, but these errors were encountered: