[FieldTrip] dimord single-trial source data

[Stephen Whitmarsh]

Hi Mathijs,

I know. Long story. Let's just say it's a check :-)

I've done the same with DICS already.

Cheers,
Stephen

On 16 November 2017 at 16:36, Schoffelen, J.M. (Jan Mathijs) <
jan.schoffelen at donders.ru.nl> wrote:

> Hi again Stephen,
>
> Just out of curiosity: why do you use a time-domain beamformer if you are
> interested in reconstructing a narrowband response?
>
> Best wishes,
> Jan-Mathijs
>
> On 16 Nov 2017, at 15:43, Stephen Whitmarsh <stephen.whitmarsh at gmail.com>
> wrote:
>
> Hi again again Jan-Mathijs,
>
> Ah yes, that does seem like the most elegant and memory-efficient
> approach!
> I will need to figure out how to apply spatial filters to Fourier (and
> redo my sensor level spectral analysis to Fourier).
>
> Shout-out to the list: anyone have an example of applying spatial filters
> to Fourier that I could use?
>
> Thanks again again,
> Stephen
>
> On 16 November 2017 at 14:38, Schoffelen, J.M. (Jan Mathijs) <
> jan.schoffelen at donders.ru.nl> wrote:
>
>> Hi again Stephen,
>>
>> I forgot to mention a third approach: you can compute your spatial filter
>> with cfg.method = ‘lcmv’ and cfg.lcmv.keepfilter = ‘yes’, and subsequently
>> compute the source level spectra by applying these spatial filters to the
>> sensor level fourier spectra.
>>
>> Best wishes,
>> Jan-Mathijs
>>
>>
>>
>>
>> > On 16 Nov 2017, at 12:36, Stephen Whitmarsh <
>> stephen.whitmarsh at gmail.com> wrote:
>> >
>> > Hi FieldTrippers,
>> >
>> > I was wondering is there is a recommend/most consistent way to
>> represent trial x pos x time data from an LCMV beamformer, also considering
>> the dimord. In other words:
>> >
>> > with:
>> >
>> > data.method = 'singletrial'
>> >
>> > should I use:
>> >
>> > data.trial{pos} = [rpt x time]
>> > data.dimord = '{pos}_rpt_time'
>> >
>> > or rather:
>> >
>> > data.trial = {pos x rpt x time}
>> > data.dimord = 'pos_rpt_time'
>> >
>> > or something else? The purpose is to then do a frequency analysis (with
>> keeptrials = 'yes').
>> >
>> > Best,
>> > Stephen
>> >
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>>
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