[FieldTrip] ?==?utf-8?q? ?==?utf-8?q? ?= redefining data se

[Martin Rosenfelder]

Hi Stephen,

Exactly, preferably, the events should be single values in a struct array or a cell array. 
This can then be added to the existing trial array. So far so good. 

However, my dataset misses a .trialinfo field after calling ft_preprocessing, to which I could add the cell array with the condition labels. 
I then added the array with the condition labels to 'mydataset.trial'. Unfortunately, this seems to confuse the ft_rejectvisual I call afterwards for artifact rejection.
Do I have to create the .trialinfo-field by hand to my dataset?

Best,
Martin 
 
 
-- 
M.Sc.-Psych. Martin Rosenfelder
Wissenschaftlicher Mitarbeiter
Klinische und Biologische Psychologie
Universität Ulm
Raum 47.2.259
+49 731-50 26592
martin.rosenfelder at uni-ulm.de 
 
Am Dienstag, 15. Januar 2019 17:40 CET, Stephen Whitmarsh <stephen.whitmarsh at gmail.com> schrieb: 
 
> Hi Martin,
> 
> No indeed, your conditions/RT/events should indeed be (re)coded as single
> values. This also makes selecting trials etc. much easier with logical
> expressions, e.g. you can then simply do cfg.trials = (data.trialinfo(:,1)
> == 3 && data.trialinfo(:,2) > 0.5, where the first column e.g. is your
> condition, and the second RT, to just give an example.
> 
> Cheers,
> Stephen
> 
> On Tue, 15 Jan 2019 at 17:35, Martin Rosenfelder <
> martin.rosenfelder at uni-ulm.de> wrote:
> 
> > Dear Stephen,
> >
> > Thank you very much for the hint on ft_selectdata.
> >
> > I tried to build the structure for .trialinfo as you described it in your
> > reply. I did this creating a structure array with the eventvalues as
> > elements.
> > Then I concatenated the .trl matrix and the event value matrix. This
> > however failed, since .trl is a double array and the event value matrix is
> > a struct array.
> > I double-checked that the nr. of rows in the two matrices match each other
> > (120 elements).
> >
> > Is there a way to add the event value matrix (120x1 struct) to the .trl
> > matrix (120x3 double)?
> >
> > Best,
> > Martin
> >
> >
> > --
> > M.Sc.-Psych. Martin Rosenfelder
> > Wissenschaftlicher Mitarbeiter
> > Klinische und Biologische Psychologie
> > Universität Ulm
> > Raum 47.2.259
> > +49 731-50 26592
> > martin.rosenfelder at uni-ulm.de
> >
> > Am Montag, 14. Januar 2019 19:01 CET, Stephen Whitmarsh <
> > stephen.whitmarsh at gmail.com> schrieb:
> >
> > > Dear Martin,
> > >
> > > Use ft_selectdata instead of ft_redefinetrial.
> > >
> > >
> > "cfg.previous.previous.previous{1,1}.previous.previous.trialdef.eventvalue(1,2)"
> > > is scary! And I can imagine very inconvenient, as it will move deeper and
> > > deeper in to infinite previousnessness.
> > > Instead, one of the best 'easter eggs' (i.e. not so well-documented
> > > functionality) of FieldTrip is to create extra columns of info in your
> > .trl
> > > when using preprocessing to epoch your data. These extra columns will
> > then
> > > enter into a field .trialinfo of your data. Most if not all functions,
> > such
> > > as ft_selectdata (selecting trials) will update that field. So I advice
> > you
> > > to put your eventvalue (as well as RT, response, etc. etc.) as columns in
> > > your trialinfo (so same nr. of rows as your nr. of trials). In this way,
> > > they will travel with your data, and stay in the same structure and on
> > the
> > > same level whatever happens.
> > >
> > > Cheers,
> > > Stephen
> > >
> > >
> > > On Mon, 14 Jan 2019 at 18:47, Martin Rosenfelder <
> > > martin.rosenfelder at uni-ulm.de> wrote:
> > >
> > > > Dear Fieldtrip community,
> > > >
> > > > I have preprocessed a single dataset with two different conditions
> > > > ('Swim', 'Rest'). The conditions are stored in the 'eventvalue' field
> > of
> > > > the cfg as 1x2 cell array. The event values are stored in the
> > > >
> > 'data_ref.cfg.previous.previous.previous{1,1}.previous.previous.trialdef.eventvalue'
> > > > field of the data set.
> > > > Having done the preprocessing I now would like to do
> > ft_timelockanalysis
> > > > and ft_freqanalysis on the data. Afterwards I statistically compare
> > the two
> > > > conditions using ft_timelockstatistics and ft_freqstatistics.
> > > > How can I split the data set according to the event values ('Swim',
> > > > 'Rest')? I need the event values to split the data set into the two
> > trial
> > > > classes in the ft_timelockanalysis / ft_freqanalysis and to compare
> > these
> > > > two conditions.
> > > >
> > > > I tried ft_redefinetrial, but do not know how to define the cfg.trials
> > > > field of this function.
> > > >
> > > >          % trial redefinition
> > > >
> > > >         % containing only trials in the 'swim' condition
> > > >          cfg.trials = (1,
> > > >
> > data_ref.cfg.previous.previous.previous{1,1}.previous.previous.trialdef.eventvalue(1,1));
> > > >          swim = ft_redefinetrial(cfg,data_ref);
> > > >
> > > >         % containing only trials in the 'resting' condition
> > > >          cfg.trials = (1,
> > > >
> > data_ref.cfg.previous.previous.previous{1,1}.previous.previous.trialdef.eventvalue(1,2));
> > > >          rest = ft_redefinetrial(cfg,data_ref);
> > > >
> > > > I hope the description was quite clear. In case, I can provide some
> > more
> > > > lines of code to clarify the issue.
> > > >
> > > > Thank you very much in advance for your advice!
> > > >
> > > > Best regards,
> > > > Martin
> > > >
> > > > --
> > > > M.Sc.-Psych. Martin Rosenfelder
> > > > Wissenschaftlicher Mitarbeiter
> > > > Klinische und Biologische Psychologie
> > > > Universität Ulm
> > > > Raum 47.2.259
> > > > +49 731-50 26592
> > > > martin.rosenfelder at uni-ulm.de
> > > >
> > > >
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> > > > https://doi.org/10.1371/journal.pcbi.1002202
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