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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Proposal for Enhanced EEG Dataset Comparison Across Different Montages #12409

Open incubodac opened 9 months ago

incubodac commented 9 months ago

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

welcome[bot] commented 9 months ago

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agramfort commented 9 months ago

you could start by making an example doing this?

Message ID: @.***>

incubodac commented 8 months ago

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?

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agramfort commented 8 months ago

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>

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