[FieldTrip] Spatio-temporal cluster-based permutation analysis on EEG sources

[Emma Holmes]

Hi Stan,

Thanks for the suggestion. However, the same error also occurs when i use
cfg.parameter = 'avg.pow'.

I wonder if anyone else has encountered problems when inputting data to
ft_sourcegrandaverag and might be able to help me?
Or if anyone has encountered the following error before or knows why it
might be occurring?
   ??? Error using ==> ft_datatype_source at 173
   unsupported version "upcoming" for source datatype

Best,
Emma



Date: Mon, 3 Nov 2014 16:54:15 +0100 (CET)
From: "Stan van Pelt" <s.vanpelt at fcdonders.ru.nl>
To: "'FieldTrip discussion list'" <fieldtrip at science.ru.nl>
Subject: Re: [FieldTrip] Spatio-temporal cluster-based permutation
        analysis        on EEG sources
Message-ID: <07bb01cff77e$6b7a9790$
426fc6b0$@vanpelt at fcdonders.ru.nl>
Content-Type: text/plain; charset="utf-8"

Hi Emma,



I am unfamiliar with this type of error.

It seems however that you still have an inconsistency in your data. You
define ?data{i}.avg.pow?, but later on use ?cfg.parameter = 'pow';?. You
should change one of the two (e.g. use cfg.parameter = 'avg.pow';)



Hope that helps.

Stan



From: Emma Holmes [mailto:eh776 at york.ac.uk]
Sent: maandag 3 november 2014 14:02
To: fieldtrip at science.ru.nl
Cc: s.vanpelt at fcdonders.ru.nl
Subject: Spatio-temporal cluster-based permutation analysis on EEG sources



Hi Stan,

Thanks for the suggestion.

When I try that, I get the following error


   ??? Error using ==> ft_datatype_source at 173
   unsupported version "upcoming" for source datatype

   Error in ==> ft_sourcegrandaverage at 82
     varargin{i} = ft_datatype_source(varargin{i}, 'version', 'upcoming');

I am unsure why this occurs.


My data is now structured in the following way:
data = <20x1 cell> % one cell array for each participant, n=20
data{i}.pos = [902629x3  double] % x,y,z positions
data{i}.dim = [91 109 91]
data{i}.time = [1 x 11 double] % vector of time points
data{i}.avg.pow = [902629 x 11 double] % source estimates

The following is the method I use:
cfg = [];
cfg.keepindividual = 'yes';
cfg.parameter = 'pow';
grandavgA = ft_sourcegrandaverage(cfg, data{:});

Best,
Emma
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