clusterrandomization on 3D-data within-subject

Lilla Magyari Lilla.Magyari at FCDONDERS.RU.NL
Sat May 13 13:11:03 CEST 2006


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.



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