clusterrandanalysis actvsblT

[Eric Maris]

Dear Andre,

> On a related note, I would like to ask about the clusterrandanalysis
option
> to set avgovertime = 'yes'
> 
> In this case, as far as I am aware, the frequency-space-time-trial
quadlets
> which clusterrand analysis uses become doublets of frequency-space. In
this
> case, wouldn't it be possible to compare data periods of different
lengths,
> as clusterrandanalysis would just average across your baseline period as
set
> 1 and average across the activation period as set 2?
> 
> Does the distribution of activation over time get factored in to the
> clusterrandanalysis function even when avgovertime is set to 'yes'?


If you try to do this, you should get an error message. Have a try, and if
you don't get an error message let me know. Anyhow, even without an error
message, the p-value that you get out of clusterrandanalysis only makes
sense if the baseline and activation periods are of equal length.


Good luck,

Eric Maris

 

dr. Eric Maris

NICI/Biological Psychology and

F.C. Donders Center for Cognitive NeuroImaging

University of Nijmegen

P.O. Box 9104

6500 HE Nijmegen

The Netherlands

T:+31 24 3612651 (NICI)

T:+31 24 3610754 (FCDC)

F:+31 24 3616066 (NICI)

E: maris at nici.ru.nl

MSc Cognitive Neuroscience :www.ru.nl/master/cns/







> 
> Thanks,
> 
> -Andre
> 
> 
> -----Original Message-----
> From: FieldTrip discussion list [mailto:FIELDTRIP at NIC.SURFNET.NL] On
Behalf
> Of Eric Maris
> Sent: Monday, July 30, 2007 1:50 PM
> To: FIELDTRIP at NIC.SURFNET.NL
> Subject: Re: [FIELDTRIP] clusterrandanalysis actvsblT
> 
> Dear Claudia,
> 
> 
> 
> > i have a questions about clusteranalysis comparing baseline and
> > activation period. is it really impossible to compare two periods of
> > different length? and why? as far as i understand the mean of the
> > baseline is used and so you have only one value per frequency anyway.
> > can i avoid this problem or do i have to divide my activation period
> > into different segments because my baseline period is much shorter?
> 
> 
> You are one of many to complain about this feature of clusterrandanalysis.
> Nevertheless, you do have to divide your activation period into different
> segments. The reason for this has to do with the null hypothesis that is
> tested when you use the activation-versus-baseline statistic. This null
> hypothesis is the following: The data in the baseline period are drawn
from
> the same probability distribution (over the spatiotemporal domain) as the
> data in the activation period. This null hypothesis only makes sense if
the
> spatiotemporal dimensionality of the activation and the baseline period
are
> equal.
> 
> 
> Kind regards,
> 
> Eric Maris
> 
> 
> 
> 
> 
> 
> 
> 
> dr. Eric Maris
> 
> NICI/Biological Psychology and
> 
> F.C. Donders Center for Cognitive NeuroImaging
> 
> University of Nijmegen
> 
> P.O. Box 9104
> 
> 6500 HE Nijmegen
> 
> The Netherlands
> 
> T:+31 24 3612651 (NICI)
> 
> T:+31 24 3610754 (FCDC)
> 
> F:+31 24 3616066 (NICI)
> 
> E: maris at nici.ru.nl
> 
> MSc Cognitive Neuroscience :www.ru.nl/master/cns/
> 
> 
> 
> 
> > thanks in advance
> > claudia
> >
> >
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> ----------------------------------
> The aim of this list is to facilitate the discussion between users of the
> FieldTrip  toolbox, to share experiences and to discuss new ideas for MEG
> and EEG analysis. See also
> http://listserv.surfnet.nl/archives/fieldtrip.html and
> http://www.ru.nl/fcdonders/fieldtrip.
> 
> ----------------------------------
> The aim of this list is to facilitate the discussion between users of the
FieldTrip
> toolbox, to share experiences and to discuss new ideas for MEG and EEG
analysis.
> See also http://listserv.surfnet.nl/archives/fieldtrip.html and
> http://www.ru.nl/fcdonders/fieldtrip.

----------------------------------
The aim of this list is to facilitate the discussion between users of the FieldTrip  toolbox, to share experiences and to discuss new ideas for MEG and EEG analysis. See also http://listserv.surfnet.nl/archives/fieldtrip.html and http://www.ru.nl/fcdonders/fieldtrip.