[Mne_analysis] DICS_wrong_hemisphere_reconstruction {Disarmed}

Edoardo Pinzuti edoardo.pinzuti at gmail.com
Wed Dec 2 16:33:26 EST 2020
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Hi Alex and Eric,

first of all thanks for the help.

1) I will try lcmv on evoked with both toolbox, I only checked on beta
filtered data and lcmv and results were similar as before

2) alignment looks fine to me (attached plot)
3) I checked the reduce rank but did not help
4) real_filter was always set to True
 filters1 = make_dics(info=info, forward=fwd, csd=csd,
reg=reg,reduce_rank=True,   pick_ori=None,
real_filter=True,normalize_fwd=False,inversion='matrix', weight_norm=None)

5) I computed the csd in a similar way in mne but i will try to pass the
data I had in fieldtrip so the beamformer gets exactly the same data.
6) I will check another subject and let you know if I observe similar
pattern.

Il giorno mer 2 dic 2020 alle ore 22:05 Eric Larson <larson.eric.d at gmail.com>
ha scritto:

>         External Email - Use Caution
>
> Do you have another idea where there could be a flip right/ left ? mri
>> conventions, coordinates and so on
>>
>
> 1. To check these I would use `plot_alignment` in MNE-Python to check to
> make sure everything is defined properly. Then if you use the same
> src/trans/bem in make_forward_solution it should all be correct.
> 2. It's possible we are hitting some rank bug, see for example *MailScanner
> has detected a possible fraud attempt from "secure-web.cisco.com" claiming
> to be* https://secure-web.cisco.com/16gZFa1q3kW1yOCYr5lOSMTIFinZEdakZM0_7EKlwdeDoEmIh3Juj97fZnmc6qwRuwnUa2InoUZFaff4d_aHVsBuTmPtREP07-szy9LoWSoD3qPKM7MLuwtRZ6lT8AlJKbCkyK2RnfT0Q5ONWFd4YGA9snxuzdhbE42jlorxy7qRBQ6Trw1ZcQDSx9dpUCQqLSl2mKGiMVR12LNQm-HMORfoVRDt7lgQvZ8_XSuKpWcoL1rtvKrOMeLKnhy4LRM9xLfJWhYinl8l_umRkMqx4Sw/https%3A%2F%2Fgithub.com%2Fmne-tools%2Fmne-python%2Fpull%2F8594
> <https://secure-web.cisco.com/1o_lH-k4rHSYPhDzjd__shBfyihVFumwSV_W9W_OMpoll5YYDcxtValRvb9okGVShJsvTRZCV6hb00YuaKjRtY-iOGJ3UoWZUpZ-sdLKjb4NlS51yYibeBLjxDpYR8YHYFgdj8D7b7UBs_NcHgjB2mGiF6YU_LykyrQMfZxUsLXBxZm5XvNZJoeOUimYbUdIFjPCJYD8x2jC1QNM1uPhqxnZsey0r8j7ToEQaxHBPbfQgZimyQvYW3T2JOGFQNGTSidhSMqzFkqKwTkLEIgm4ng/https%3A%2F%2Fgithub.com%2Fmne-tools%2Fmne-python%2Fpull%2F8594>
> 3. You might need to use reduce_rank=True as in this example
> <https://secure-web.cisco.com/13MsdCox5KdzEpkrHMoAukWFSeMSbQzGuM0nRfQFGr7oaJ8uyROq_2nFM41F8P2DmnxF03hvqeB8I0Ao6OUFluoTL9Mtka3zYJqHIp8K7eRUGxWXuR5BskgNzlfNwDJ6UK8oEb3tjXAaNlPBQy3X43EbHnN0_YKdHKGexmausx9AJqM_zI3M8iTdyon8qNz_IBnSjLgtOEpgAxgt2Uz4R7JQe4ebaLWv7xbMCT5XU6BZH953ICan7D2pyaeQVFeFQOgG_0jSTj5bNrIUrrEWNHg/https%3A%2F%2Fmne.tools%2Fdev%2Fauto_examples%2Finverse%2Fplot_dics_source_power.html%23sphx-glr-auto-examples-inverse-plot-dics-source-power-py>.
> It's possible FT reduces rank by default and we do not, so make sure
> parameters match.
> 4. Can you also try doing `real_filter=True` to see if it helps? We are
> looking into orientation selection for the complex filters currently, it
> seems like FT produces better results for the complex.
>
> Eric
>
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