[FieldTrip] Suitable value of cfg.wcm_weight

[Sheraz Khan]

Hello everyone.

I am new to fieldtrip, and using "cluster based statistics", I am using
"cfg.clusterstatistics=wcm" as my option. Can any experience field-tripper
suggest suitable value of* "cfg.wcm_weight"*,

Thanks

Sheraz

On Fri, Jun 17, 2011 at 3:01 AM, Stephan Moratti <smoratti at psi.ucm.es>wrote:

> Hello everybody,
>
> I had no problems reading Neuromag data, but when I want to read data
> treated with SSS I get the following error:
>
> ??? Error using ==> fiff_read_tag at 232
> Cannot handle other than dense or sparse matrices yet
>
> Error in ==> fiff_open at 80
>     tag = fiff_read_tag(fid,dirpos);
>
> Error in ==> fiff_read_meas_info at 82
>     [ fid, tree ] = fiff_open(source);
>
> Error in ==> ft_read_header at 1049
>     orig = fiff_read_meas_info(filename);
>
> Error in ==> mytrialfun_Neuromag_face at 3
> hdr = ft_read_header(cfg.dataset);
>
> Error in ==> ft_definetrial at 139
>     trl   = feval(cfg.trialfun, cfg);
>
> Any idea, what I could do?
>
> Best,
>
> Stephan
>
>
> El 17/06/2011, a las 0:37, Rodolphe Nenert escribió:
>
> Im still afraid that the power of this analysis will be very low.
> Maybe you can try an ICA on your fMRI data and try to correlate each
> component with your EOG timecourse.
>
> Rodolphe N.
>
> On Thu, Jun 16, 2011 at 1:16 PM, frank at greenant.net <
> fieldtrip at greenant.net> wrote:
>
>> It's a bit of a unique experiment, we're trying to use an ECG machine
>> to acquire EOG, so it's only a single output channel.
>>
>> i guess what I need is a temporal ICA rather than a spatial one...
>>
>> On 17/06/2011, at 2:48 AM, Rodolphe Nenert wrote:
>>
>> To summarize, the ICA will decompose your signal into as many components
>> as Electrodes.
>> Therefore, trying to decompose only one source is useless.
>> Did you use a full net of electrodes into your MRI machine or only EOG
>> electrodes?
>>
>> Hope this helps,
>>
>> Rodolphe N.
>>
>> On Thu, Jun 16, 2011 at 11:42 AM, frank at greenant.net <
>> fieldtrip at greenant.net> wrote:
>>
>>> I am trying to use fieldtrip to filter EOG data obtained in an MRI.
>>> I want to be able to spot the saccades in the samples and ideally measure
>>> their onset at the
>>> end of each trial.
>>>
>>> As you may guess, it's quite noisy and it's broad spectrum noise, despite
>>> pre-filtering.
>>>
>>> Ideally, I would like to isolate the component that corresponds to the
>>> MRI interference
>>> and then filter this out.
>>>
>>> I have managed to import the data and can run ft_componentanalysis
>>> but it fails with:
>>>
>>> runica() - data size (1,30720) too small
>>>
>>> My data is single channel, 40 epochs, each of 6 seconds (time locked to
>>> stim onset but not saccade onset)
>>> Is there a different method I should be using?
>>>
>>> I have posted some sample data and the current script (which reads in the
>>> data and runs preprocessing) to the following urls:
>>>
>>> http://greenant.net/temp/1_2_MRI_2011-04-29%2016:19:33.mat
>>> http://greenant.net/temp/EOG_analysis.m
>>> _______________________________________________
>>> fieldtrip mailing list
>>> fieldtrip at donders.ru.nl
>>> http://mailman.science.ru.nl/mailman/listinfo/fieldtrip
>>>
>>
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>>
>>
>>
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>>
>
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>
>
> ________________________________________________________
> Stephan Moratti, PhD
>
> see also: http://web.me.com/smoratti/
>
> Universidad Complutense de Madrid
> Facultad de Psicología
> Departamento de Psicología Básica I
> Campus de Somosaguas
> 28223 Pozuelo de Alarcón (Madrid)
> Spain
>
> and
>
> Center for Biomedical Technology
> Laboratory for Cognitive and Computational Neuroscience
> Parque Científico y Tecnológico de la Universidad Politecnica de Madrid
> Campus Montegancedo
> 28223 Pozuelo de Alarcón (Madrid)
> Spain
>
>
> email: smoratti at psi.ucm.es
> Tel.:    +34 679219982
>
>
>
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>
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