and clusterrandomization

[Eric Maris]

Dear Olga,


But the problems is still in my clusterrandomization.
Could the fact that the order of the channel in the file (C_vc11.label) is
not the same as in the C_vc11.elec.label influences the result of
clusterrandomization (I do not have my neigbouring channel file)?


That should not matter. However, the labels in your data structure (.label
in the output of timelockgrandaverage) should exactly match the labels in
the elec-structure. If that is OK, then something might have gone wrong with
the combination of the data of the different subjects. Do they all have the
same elec-structure? If the same physical channel has different labels for
different subjects, then this may create inconsistencies between EEGlab and
Fieldtrip. For Fieldtrip, channels that have the same label are assumed to
be physically identical, even if they are in different positions in the data
structure. This is only a guess, of course.


kind regards,

Eric Maris









Best Regards,
Olga.
  ----- Original Message -----
  From: Ingrid Nieuwenhuis
  To: FIELDTRIP at NIC.SURFNET.NL
  Sent: Wednesday, May 24, 2006 8:45 PM
  Subject: Re: [FIELDTRIP] clusterrandomization on 3D-data within-subject


  Hi Olga,



  About the z-param:

  This is the field that contains the data to be plotted; for instance
'avg', 'powspctrm' or 'cohspctrm'. Normally the function looks in your
data.dimord to find out which z-param to use. To make the function work you
could give cfg.zparam = 'avg' (for instance if you want to plot an ERF/ERP).
But if you could send me what the dimord field of the data that you want to
plot is, I could look why the plot functions don't extract the correct
zparam themselves.



  About the timelockgranaveraging: I also think it should be the same. I
have no idea what it could be.



  Good luck,

  Ingrid Nieuwenhuis




------------------------------------------------------------------------------

  From: FieldTrip discussion list [mailto:FIELDTRIP at NIC.SURFNET.NL] On
Behalf Of Olga Sysoeva
  Sent: Wednesday, May 24, 2006 5:44 PM
  To: FIELDTRIP at NIC.SURFNET.NL
  Subject: Re: [FIELDTRIP] clusterrandomization on 3D-data within-subject



  Dear List member,



  Sorry for such dull questions but,

  I am again facing the new problems with Fieldtrip, although did not solve
some previous one (still can not singleplot and multiplot anything 'cause of
"unknown zparam field".



  OK, about new one :-)



  It seems that I did not use write the timelockgranaveraging.



   The problem must be here, when I made grand averaging of all my 11
subject
   data

                    cfg =[];
                     cfg.keepindividual = 'yes'
                     C_vc11  =
   timelockgrandaverage(cfg,vc_c_avg1,vc_c_avg2,vc_c_avg3,vc_c_avg4,vc_c_avg5,
vc_c_avg6,vc_c_avg7,vc_c_avg8,vc_c_avg9,vc_c_avg10,vc_c_avg11 );

  As I understand the

  vc_c_avg11.avg([9],[43]) should be similar with C_vc11.individual ([11],
[9], [43])
  But it is not.
  What can it be?

  Best Regards,

  Olga.





    ----- Original Message -----

    From: Olga Sysoeva

    To: FIELDTRIP at NIC.SURFNET.NL

    Sent: Saturday, May 13, 2006 4:34 PM

    Subject: Re: [FIELDTRIP] clusterrandomization on 3D-data within-subject



    Thank you very much, Lilla!

    Now I knwo what to do but faced the problem with " unknown zparam field"
when ploting the results. Unfortunatly cfg.zparam does not discribed in help
file...

    Best Regards, Olga

      ----- Original Message -----

      From: Lilla Magyari

      To: FIELDTRIP at NIC.SURFNET.NL

      Sent: Saturday, May 13, 2006 3:11 PM

      Subject: Re: [FIELDTRIP] clusterrandomization on 3D-data
within-subject



      Dear Olga,



      I am just studying time-frequency analysis but I have done already on
my data, so perhaps I can help you.

      First, yes, you have to do freqanalysis on the preprocessed data of
the individual subjects for all conditions that you want to compare (i.e.
the input for this function contains all trials from one subject in one
condition.) And it is also important that the other input for this function
is the cfg where for example, in the cfg.method you have to specify what
kind of time-frequency analysis you want to use. (You have to write
'wltconvol' for wavelet transformation and 'mltconvol' for multitaper
analysis.)

      When you use freqanalysis as output you can get TFR for one subject in
one condition (but it is also possible to keep the information for the
individual trials of the condition by specifying cfg.keeptrials = 'yes').
When you have the TFRs for each subject you can grandaverage them with
freqgrandaverage where the input is the TFRs of all subjects (and before
averaging you can use also freqbaseline for giving a baseline for your
TFRs).



      I hope it helps.



      Best regards,

      Lilla Magyari








--------------------------------------------------------------------------

      From: FieldTrip discussion list [mailto:FIELDTRIP at NIC.SURFNET.NL] On
Behalf Of Olga Sysoeva
      Sent: Saturday, May 13, 2006 9:28 AM
      To: FIELDTRIP at NIC.SURFNET.NL
      Subject: [FIELDTRIP] clusterrandomization on 3D-data within-subject



      Dear list members,



      Thank you everybody for your help! I've already got interesting
results using clusterrandomization on my data! Thanks a lot!



      Now I have a question about using the clusterrandomization on 3-D data
(channel-time-frequency) in within-subject analysis.

      As I understand it is possible with Fieldtrip, but I really newby in
time-frequency anlysis, therefore wanted your comments,

      as far as I didn't find the example of the application of
clusteranalysis on this set of the data in tuturial.



      I successfully conduct the within-subject clusterrandomization on my
grand-average data, which does not have the third, frequency demintion.

      Now I want to add it. But I could not apply freqanalyisis on
grandavarage data, could I? Should I made the TFR of individual data and
than grand-avarage the result?

      Which function should I use?



      Best Regards,

      Olga.