[Mne_analysis] ds000117 dataset - 3-layer BEM model {Disarmed}

Ricardo Licona ricklicona at icloud.com
Thu Dec 10 19:09:47 EST 2020
Search archives:

        External Email - Use Caution        

Dear all, 

I am working with the dataset named ds000117, and I am implementing a 3-layer BEM model. I fixed the surface intersections of 10 subjects using Blender software. However, I can not explain why MNE (anatomy.py script) has problems creating the 3-layer BEM model for subjects 3, 6, 10, and 15; there are no intersections amid their surfaces (i.e., inner skull, outer skull, and outer skin).

According to some papers, the MEG data (1-layer BEM model) is more reliable than EEG data (3-layer BEM model) for this dataset. I would like to know your opinion or experience with this dataset and the 3-layer BEM model. 

Here the plots:
Subject 003:  https://secure-web.cisco.com/1E0iK5iAhP6ICYatY0qXqeTutJLTCyfk_SbzLA42PRd9dGQc9jtNc5He98Ywth8wcWfA0EnLV9i_WUK3_GXpmNfuMKa8K7zXx1kpy0xdbF6s9wDMSX7bpxp4MpFhar7l37mdWKguhytUsd-72f9qVOcnkKzU7Ofg5oqE7jZErN2dzJF3w1yP1bqfuHWfLqwxaNOtclXqqk7N6A1uCpOwUfS4eFkWDgGoSb61Ltr5XOSMyWHp_F65118F7IPqKiUBFUlTCvpTwnc7JCDMXxrmlYA/https%3A%2F%2Fmega.nz%2Ffile%2FqgV3hAgR%23eiF-xNkHb2yH1WmdOmTSrUzp8ykjxqyTTqTCTYsur8I <https://secure-web.cisco.com/1E0iK5iAhP6ICYatY0qXqeTutJLTCyfk_SbzLA42PRd9dGQc9jtNc5He98Ywth8wcWfA0EnLV9i_WUK3_GXpmNfuMKa8K7zXx1kpy0xdbF6s9wDMSX7bpxp4MpFhar7l37mdWKguhytUsd-72f9qVOcnkKzU7Ofg5oqE7jZErN2dzJF3w1yP1bqfuHWfLqwxaNOtclXqqk7N6A1uCpOwUfS4eFkWDgGoSb61Ltr5XOSMyWHp_F65118F7IPqKiUBFUlTCvpTwnc7JCDMXxrmlYA/https%3A%2F%2Fmega.nz%2Ffile%2FqgV3hAgR%23eiF-xNkHb2yH1WmdOmTSrUzp8ykjxqyTTqTCTYsur8I>
Subject 006: https://secure-web.cisco.com/1n_3UFDTNRRT5tl1bugt0m5r17Ah7rBJDz7i6ZdtsRDHICPLaKPvzp6KapP2HCPtn3tBG5rWzR42F-48lUosBRYK2vXhJW0fTI5XBsPEiBga_TgVFqibxB0mgRoAal5MRFoGAhESz5ncK0ExDJnGAc-lCKR0lyYK92glVZNFFqWZthlrKWXAvQRi3ZSIyjJW62jIP__crRTgHbMhEBpUuW5RJ_QdatlvLXxw6GttR62RKSoR-T_ka-OG0FM-JtC3vgdKrPLXaYMycnBL1hRQtaw/https%3A%2F%2Fmega.nz%2Ffile%2FC5EFxa7T%23SD6EQGngF3TYOSRl_69OoypAbKH-Ho1h63WFPD6HfYw <https://secure-web.cisco.com/1n_3UFDTNRRT5tl1bugt0m5r17Ah7rBJDz7i6ZdtsRDHICPLaKPvzp6KapP2HCPtn3tBG5rWzR42F-48lUosBRYK2vXhJW0fTI5XBsPEiBga_TgVFqibxB0mgRoAal5MRFoGAhESz5ncK0ExDJnGAc-lCKR0lyYK92glVZNFFqWZthlrKWXAvQRi3ZSIyjJW62jIP__crRTgHbMhEBpUuW5RJ_QdatlvLXxw6GttR62RKSoR-T_ka-OG0FM-JtC3vgdKrPLXaYMycnBL1hRQtaw/https%3A%2F%2Fmega.nz%2Ffile%2FC5EFxa7T%23SD6EQGngF3TYOSRl_69OoypAbKH-Ho1h63WFPD6HfYw>
Subject 010: https://secure-web.cisco.com/1ARehByw-9jS3Zg9UlnydnLfrWxr_L0du8aOIGdRpQGDD-9vSkxpIhYbYIATXvw64s75PGmx78cmvd6kjRPcQmODtHgSjRxLcytbQBvHkipUF-Ayv9PfqkeRWE3GKyEzXsBEmYJCT9WUQimPQfrpNbVn7cxDpWpYJiNKqF8PK-FXTtvG0P6Q99az88Nr91EewI0z03ObvUI6mS1ueqDkZ7be3lHBb897La1DhW4n4cBQLKvTVGULSkv9UMrvqawUfPAWaMsE7KTIanbF7wf9-SA/https%3A%2F%2Fmega.nz%2Ffile%2FK1ExjajI%23r7LgbEPFAsMJKvHinR7EJsGM-NGLnrEh0QnKX0eFI9c <https://secure-web.cisco.com/1ARehByw-9jS3Zg9UlnydnLfrWxr_L0du8aOIGdRpQGDD-9vSkxpIhYbYIATXvw64s75PGmx78cmvd6kjRPcQmODtHgSjRxLcytbQBvHkipUF-Ayv9PfqkeRWE3GKyEzXsBEmYJCT9WUQimPQfrpNbVn7cxDpWpYJiNKqF8PK-FXTtvG0P6Q99az88Nr91EewI0z03ObvUI6mS1ueqDkZ7be3lHBb897La1DhW4n4cBQLKvTVGULSkv9UMrvqawUfPAWaMsE7KTIanbF7wf9-SA/https%3A%2F%2Fmega.nz%2Ffile%2FK1ExjajI%23r7LgbEPFAsMJKvHinR7EJsGM-NGLnrEh0QnKX0eFI9c>
Subject 015: https://secure-web.cisco.com/1HEhZyM5ZJx0kk16mPEqG29oSZPT_RNn1rPKtRDViiG79R5LfaK9UT-rgClefK0s2EOgMMuIQS0VHGVb6tZk8PRdHVdNooHdRAR2B5r4VcCZXRGc6UL-_j3XIvzpF4oMsDCMU7G6kP7J4wmczb22Y35yGm3paNXGNvR5WTyoQCfn4U_jFR1thO8HQYb25PUqIJ1cMsMENTIye6EPWwapd2asdmzGMJaKt0alFpKodnpZii-b85Bv1y_W27ytitNyfftzgYhZrLz7zifujXRFErQ/https%3A%2F%2Fmega.nz%2Ffile%2FfwMHHApA%233xRo0AILpoELOM1xFHAiulO0ogCuK-sDW4GYLEPgwf8 <https://secure-web.cisco.com/1HEhZyM5ZJx0kk16mPEqG29oSZPT_RNn1rPKtRDViiG79R5LfaK9UT-rgClefK0s2EOgMMuIQS0VHGVb6tZk8PRdHVdNooHdRAR2B5r4VcCZXRGc6UL-_j3XIvzpF4oMsDCMU7G6kP7J4wmczb22Y35yGm3paNXGNvR5WTyoQCfn4U_jFR1thO8HQYb25PUqIJ1cMsMENTIye6EPWwapd2asdmzGMJaKt0alFpKodnpZii-b85Bv1y_W27ytitNyfftzgYhZrLz7zifujXRFErQ/https%3A%2F%2Fmega.nz%2Ffile%2FfwMHHApA%233xRo0AILpoELOM1xFHAiulO0ogCuK-sDW4GYLEPgwf8>

Kind regards,
Ricardo. 


-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20201210/abfbc3e7/attachment-0001.html 


More information about the Mne_analysis mailing list