Open incubodac opened 9 months ago
Hello! 👋 Thanks for opening your first issue here! ❤️ We will try to get back to you soon. 🚴
you could start by making an example doing this?
Message ID: @.***>
Yes, I've already prepared an example utilizing a BioSemi montage. You can find it here https://github.com/incubodac/Cross-MontageComparison. I'm eager to hear any feedback or suggestions you may have regarding it. Thank you!
On Thu, 1 Feb 2024 at 18:10, Alexandre Gramfort @.***> wrote:
you could start by making an example doing this?
Message ID: @.***>
— Reply to this email directly, view it on GitHub https://github.com/mne-tools/mne-python/issues/12409#issuecomment-1922251531, or unsubscribe https://github.com/notifications/unsubscribe-auth/AHYZHDB7F76XTBQE2MULHBLYRQAGBAVCNFSM6AAAAABCVQB5TWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMRSGI2TCNJTGE . You are receiving this because you authored the thread.Message ID: @.***>
I see. You could make a new file in https://github.com/mne-tools/mne-python/tree/main/examples/preprocessing that is a full example.
On Thu, Feb 15, 2024 at 9:58 PM dac9000 @.***> wrote:
Yes, I've already prepared an example utilizing a BioSemi montage. You can find it here https://github.com/incubodac/Cross-MontageComparison. I'm eager to hear any feedback or suggestions you may have regarding it. Thank you!
On Thu, 1 Feb 2024 at 18:10, Alexandre Gramfort @.***> wrote:
you could start by making an example doing this?
Message ID: @.***>
— Reply to this email directly, view it on GitHub < https://github.com/mne-tools/mne-python/issues/12409#issuecomment-1922251531>,
or unsubscribe < https://github.com/notifications/unsubscribe-auth/AHYZHDB7F76XTBQE2MULHBLYRQAGBAVCNFSM6AAAAABCVQB5TWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMRSGI2TCNJTGE>
. You are receiving this because you authored the thread.Message ID: @.***>
— Reply to this email directly, view it on GitHub https://github.com/mne-tools/mne-python/issues/12409#issuecomment-1947329209, or unsubscribe https://github.com/notifications/unsubscribe-auth/AABHKHEK7BIBRLFSPJRLC3LYTZZIJAVCNFSM6AAAAABCVQB5TWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSNBXGMZDSMRQHE . You are receiving this because you commented.Message ID: @.***>
Describe the new feature or enhancement
Dear MNE Community, I hope this message finds you well. I am currently working with two EEG datasets stemming from the same experimental paradigm, acquired using different caps (biosemi128/64). During my analysis, I encountered a challenge in facilitating a spatial downsampling of the 128-channel montage to enable a meaningful comparison of results between both datasets. Given that only 34 electrode locations coincide between the two montages, I devised a solution by creating a virtual montage. This involved incorporating the 30 non-matching locations onto the 128-channel head, utilizing spline interpolation to obtain data for these additional points, and subsequently discarding the unwanted channels, then resulting in a 64-channel montage dataset. While my specific case addresses only biosemi caps, I believe this approach could be valuable in a broader context. It may not be uncommon to compare EEG datasets acquired using different montages. Therefore, I propose the inclusion of a more generalized version of this downsampling method to accommodate various montages.However, perhaps the effectiveness of this enhancement may be limited to montages with electrode locations calculated from a sphere, like the biosemi setup. I welcome feedback and collaboration from the community to refine and implement this proposed feature.
Describe your proposed implementation
Maybe as a method of DigMontage class.
Describe possible alternatives
Not sure.
Additional context
No response