[Eeglablist] ERSP

[Konstantina Tsekoura]

Hello,

The size of epochs is -1000ms before marker to 2000ms after market! The 
lowest frequency is 2Hz.

I tried to use larger epochs like -2000ms to 2000ms, but i have the same 
error!

Is it good to use the whole trial as a baseline or could i just define 
baseline as NaN?

I tried with baseline NaN and i have good accuracy in the step of 
Classification, but i am not sure this is a right way. What do you 
think?

Thank you in advance,
Konstantina

Στις 2018-05-13 04:22, Johanna Wagner έγραψε:
> Hi Konstantina,
> 
> what is the size of your epochs, - how are they defined? For example.
> -1000ms to 2000ms relative to stimulus? and what is the lowest
> frequency that you are trying to estimate?
> The lower the frequency, the larger the time windows used by newtimef.
> 
> The error you are getting sounds like you do not have any timepoints
> in the prestimulus baseline
> 
> You can try to use larger epochs if you want to have a prestimulus
> baseline, or you could use the whole trial as a baseline...
> To use the whole trial just enter the epoch limits as baseline (see
> example below)....
> 
>  [ersp, itc, powbase, times, freqs, eboot,itcboot, tfdata] =
> newtimef...
>         (EEG.icaact(IC,:,:), EEG.pnts, [EEG.xmin EEG.xmax]*1000,
> EEG.srate, 0,...
>         'cycles', [3 0.5], 'tlimits', [EEG.xmin EEG.xmax]*1000,...
>         'baseline',[EEG.xmin EEG.xmax]*1000,...
>         'freqs', [3 60],...
>         'padratio', 8)
> 
> Johanna
> 
> 2018-05-11 11:06 GMT-07:00 Ramón Martinez <nucleuscub at gmail.com>:
> 
>> Hi Konstantina,
>> If the problem persists, you may want to submit a bug report to
>> Bugzilla [1] (let us know if you need an account) and provide a
>> testing dataset and the line of code you are trying to run so we can
>> take a look.
>> 
>>> Could i define baseline with one value(the end of baseline)? I am
>>> confused from this definition of baseline
>> 
>> Yes, you can define a single latency value that will account for all
>> the timepoints before this point as baseline (same as defining 0 ->
>> all negative time values).  But this is an unintended use of the
>> function.
>> 
>> Hope this helps,
>> Ramon
>> 
>> ''baseline'  = Spectral baseline end-time (in ms). NaN --> no
>> baseline is used.
>> %                     A [min max] range may also be entered
>> %                     You may also enter one row per region for
>> baseline
>> %                     e.g. [0 100; 300 400] considers the window 0
>> to 100 ms and
>> %                     300 to 400 ms This parameter validly defines
>> all baseline types
>> %                     below. Again, [NaN] Prevent baseline
>> subtraction.
>> %                     {default: 0 -> all negative time values}. '
>> 
>> from the newtimef.m.
>> 
>> Konstantina
>> 
>> Στις 2018-05-10 02:16, Ramón Martinez έγραψε:
>> Konstantina,
>> Did you try doing what the message says?
>> Ramon
>> 
>> On Wed, May 9, 2018 at 11:03 AM, Konstantina Tsekoura
>> <tsekou at ceid.upatras.gr> wrote:
>> 
>> Hello,
>> 
>> i have a problem when i try to compute ERSP. The only values that i
>> can define for Baseline are 0 or NaN ...when i am trying to define a
>> range of values like [-400 -200] i have the following error:
>> 
>> " There are no sample points found in the default baseline. This may
>> happen even though data time limits overlap with the baseline
>> period(because of the time-freq. window width). Either disable the
>> baseline, change the baseline limits."
>> 
>> Could someone ,please, help me?
>> 
>> Thank you in advance,
>> Konstantina
>> _______________________________________________
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>> --
>> 
>> _____________________________________________________
>> 
>> Ramon Martinez-CancinoSwartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>> 
>> Links:
>> ------
>> [1] http://sccn.ucsd.edu/eeglab/eeglabmail.html [2]
> 
> --
> 
> _____________________________________________________
> 
> Ramon Martinez-CancinoSwartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
> 
> _______________________________________________
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> --
> 
> --
> 
> Johanna Wagner, PhD
> Postdoctoral Researcher
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation
> University of California San Diego
> 
> http://scholar.google.at/citations?user=vSJYGtcAAAAJ&hl=en
> 
>  [3]
> 
> Links:
> ------
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