MultiplotER using Neuromag lay
Christian Hesse
c.hesse at FCDONDERS.RU.NL
Mon Mar 19 17:02:38 CET 2007
Hi Matt,
you can use the function PREPARE_LAYOUT to generate a layout using
the gradiometer information in your data.
Regards,
Christian
On 19 Mar 2007, at 15:27, Shtrahman, Matthew wrote:
> Hi,
>
> Can someone give me the link where I can download NM306mag.lay?
>
> Thanks,
>
> Matt
>
>
> -----Original Message-----
> From: FieldTrip discussion list on behalf of Joachim Gross
> Sent: Mon 3/19/2007 5:38 AM
> To: FIELDTRIP at NIC.SURFNET.NL
> Subject: Re: [FIELDTRIP] MultiplotER using Neuromag lay
>
> Hi Eve,
>
> I think I had a similar problem.
> In my case the channel labels in NM306mag.lay did not exactly match
> the
> labels in avgdata.label.
> After changing either set of labels it worked for me.
>
> Joachim
>
> alotof eve wrote:
>> Hi, Christian,
>>
>> Sorry I didn't reply this for a long time. Thanks for these
>> suggestions. They work well. And I found after using read_data, the
>> other processing still can work for whole data.
>>
>> However, I met another problem.
>>
>> After I did timelockanalysis, I tried to plot average data using
>> multiplotER. I downloaded the file "NM306mag.lay" and other two you
>> offered. The layoutplot(cfg) shows that the files are correct.
>> However, when I used multiplotER(cfg,avgdata), the figure showed up
>> was blank. Nothing on it even the lables.
>>
>> Could you or other experts tell me the possible way to figure it
>> out? Thanks so much.
>>
>> Best,
>> Eve
>>
>>
>> */Christian Hesse <c.hesse at FCDONDERS.RU.NL>/* wrote:
>>
>> Hi Eve,
>>
>>> I can use meg-pd toolbox now. However, it seems all the
>>> functions
>>> in FieldTrip are for evoked data while my raw data is continuous
>>> data.
>>
>> FieldTrip handles a variety of data, and the low level reading
>> functions can deal with continuous or epoch based raw data.
>>
>> When you analyze your data in FT, you usually start by defining
>> your trials, i.e. epochs in your continuous data that are of
>> interest, w.r.t. to some sort of trigger or event. The function
>> PREPROCESSING then scans through your raw data file and returns a
>> data structure which contains all of the specified epochs (for a
>> particular trial definition) in a field data.trial. Please note
>> that this has nothing to do with evoked vs induced responses
>> just yet.
>>
>> You can use the output of PREPROCESSING as input to either
>> TIMELOCKANALYSIS or FREQUANALYSIS which look at evoked and
>> induced
>> phenomena, respectively. Afterwards you can call various
>> statistical functions such as FREQDESCRIPTIVES, etc ...
>>
>> So the reason why I have been giving you the examples using
>> read_header and read_data is because I needed to determine the
>> nature of the error you were getting without really knowning
>> anything about what sort of data is in your file. In your use of
>> FT you do not actually use these functions yourself, but
>> basically
>> use functions like DEFINE_TRIAL and PREPROCESSING to start with.
>>
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----------------------------------------------------------------------
Christian Hesse, PhD, MIEEE
F.C. Donders Centre for Cognitive Neuroimaging
P.O. Box 9101
NL-6500 HB Nijmegen
The Netherlands
Tel.: +31 (0)24 36 68293
Fax: +31 (0)24 36 10989
Email: c.hesse at fcdonders.ru.nl
Web: www.fcdonders.ru.nl
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