[Mne_analysis] Use of Maxwell filtering with 4-D Neuroimaging / BTI data

[Hakonen Maria]

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Thank you Eric! I will try that!

Best,
Maria
________________________________________
Lähettäjä: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> käyttäjän Eric Larson <larson.eric.d at gmail.com> puolesta
Lähetetty: 12. kesäkuuta 2018 19:44:10
Vastaanottaja: Discussion and support forum for the users of MNE Software
Aihe: Re: [Mne_analysis] Use of Maxwell filtering with 4-D Neuroimaging / BTI data

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I have not done much testing with BTi system data, but it's on the to-do list (so the bullet points of caveats have not changed). Please feel free to try and see how it works for your data. You might try setting `ignore_ref=True`, I seem to remember someone working with BTi data and having this be the case (though I could be wrong about this).

Eric


On Tue, Jun 12, 2018 at 11:31 AM Maria Hakonen <maria.hakonen at gmail.com<mailto:maria.hakonen at gmail.com>> wrote:

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Dear all,

Does anyone have experience of the use of Maxwell filter with 4-D Neuroimaging / BTI data?  Is there something specific e.g. with the parameters that I should take into account if I apply Maxwell filter to 4-D Neuroimaging / BTI data, or would it be better not to use Maxwell filter? The mne python documentation says " Use of Maxwell filtering routines with non-Elekta systems is currently experimental. Worse results for non-Elekta systems are expected due to (at least):

  *   Missing fine-calibration and cross-talk cancellation data for other systems.
  *   Processing with reference sensors has not been vetted.
  *   Regularization of components may not work well for all systems.
  *   Coil integration has not been optimized using Abramowitz/Stegun definitions."

Are there any updates to this information?

Best,
Maria
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