[Eeglablist] peak latency analysis
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Mon Aug 11 16:22:42 PDT 2014
Actually I found 'Peakfit' toolbox by Paul Sajda.
http://sccn.ucsd.edu/wiki/Plugin_list_process
On Mon, Aug 11, 2014 at 3:32 PM, Stephen Politzer-Ahles <spa268 at nyu.edu>
wrote:
> Hi Angel,
>
> I don't know if EEGLAB/STUDY has built-in options, but you can get a peak
> latency for any subject on any channel using MATLAB code, something like
> the following:
>
> channel_idx = 4; % use channel 4 (for example) for the peak latency
> time_window = [300 500]; % use the N400 time window (for example)
> samples = find(EEG.times >= time_window(1) & EEG.times <= time_window(2));
> % the samples to test
> data = EEG.data( channel_idx, samples ); % pull out the data for this
> channel and time window
> peak_latency = EEG.times( samples( find( data==max(data) ) ) ); % get the
> peak latency in this window (max() can be replaced with min() for a
> negative peak)
>
> Best,
> Steve
>
> Stephen Politzer-Ahles
> New York University, Abu Dhabi
> Neuroscience of Language Lab
> http://www.nyu.edu/projects/politzer-ahles/
>
>
> On Tue, Aug 12, 2014 at 3:27 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Angel,
>>
>> Not sure about the single subject level, but for the group level my
>> plugin std_ErpCalc() http://sccn.ucsd.edu/wiki/Plugin_list_process has
>> an option to compute IC-wise peak and trough amplitude and latency
>> measurement from GUI. I haven't checked the plugin for long time so if you
>> encounter bugs let me know.
>>
>> Makoto
>>
>>
>> On Tue, Aug 5, 2014 at 7:58 PM, Angel Tabullo <angeltabullo at yahoo.com>
>> wrote:
>>
>>>
>>> Hi everyone! I need to perform a peak latency analysis for P300 and N400
>>> potentials. I wanted to ask if it is possible to do this in EEGLAB, and, in
>>> case there's more than one available method, which one do you think it's
>>> best.
>>>
>>> Thanks for your attention!
>>>
>>> Dr. Angel Tabullo
>>>
>>>
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
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>
>
--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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