[Mne_analysis] Analysis on single trial data from source space

[Alexandre Gramfort]

Dear Xiangbin,

option 2 will work but it's not the most efficient as it's faster to do time
frequency transforms in sensor space  and then apply the inverse operators.

you can also work with label time courses if you know where to look.

HTH
ALex

On Wed, Mar 14, 2018 at 10:36 PM, Xiangbin <xiangbin.teng at gmail.com> wrote:

> Dear all,
>
>   I have a question on analysing single trial data from source space. I
> would like to do analysis on phase values of each trial and then get a
> source estimation of such analysis. I haven’t found any functions in
> MNE-python to return phase values of each trial from source space (no such
> functions on sensor space either it seems). If anyone knows such functions
> to return phase values of each trial on source space, please do let me know.
>
>
>
>  I come up with two options to do this:
>
>    1. Do single trial analysis on sensor space and then project the
>    results to source space, just like projecting evoked potential results to
>    source space. I will substitute the evoked potential results with the
>    results of phase analysis and apply inverse operator;
>    2. I project each trial to source space with pick_orig = ‘normal’ and
>    then apply time-frequency analysis and then phase analysis to each trial
>    from source space.
>
>
>
> Which one is plausible or better in your opinion?
>
>
>
>   If someone has done such analysis using MNE-python before, could you
> kindly point me to the relevant resources?
>
>
>
> Many thanks.
>
>
>
> Best,
>
> Xiangbin
>
>
>
>
>
>
>
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