[Eeglablist] Heatplot generation using EEGLab
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Tue Jan 24 10:19:12 PST 2017
Dear Sai,
You first need to define events and extract them as epochs.
https://sccn.ucsd.edu/wiki/Chapter_05:_Extracting_Data_Epochs
Then 'Plot' -> 'ERP map series' - 'In 2D' to show scalp topography.
These are the basic visualization ability available from GUI. If you can
code, you have much more degrees of freedom.
Makoto
On Sun, Jan 15, 2017 at 8:09 PM, Sai Vishal Daripelli <saivishal at suven.com>
wrote:
> *Hi Everyone,*
>
> We are working on changes in the local field potential in hippocampus of
> rats after drug treatment. The study protocol involves stimulating nPO
> region with current ranging from 20 to 120mA, and recording EEG from CA1
> region of hippocampus. Stimulations will be given 6s with 250Hz frequency
> for every 100s.
>
> We are beginners for Matlab and EEGLab, need your help in generating the
> following graphs
>
> 1. We want to generate heatplot for a period covering 5s pre stimulus, 6s
> stimulation and 5s post stimulation period by taking pre-stimulus as a base
> line. The same will be generated for average of 5 to 10 stimulations
> periods.
>
> 2. Over a period of 2hours of study we will be having 72 stimulation
> periods. We want to generate Heatplot for 72 stimulations (5s period of
> each stimulation, 1st sec will be excluded for stimulation artifact
> removal) by taking first 18 as baseline. The same will be generated for
> average of 6-8 animals.
>
> we are able to generate heatplot for single stimulation period using
> EEGlab but generating graph by taking average of multiple stimulations was
> difficult for us, can anyone help us in generating the above mentioned
> Heatplots?
>
> For better understanding please go through the following link,
> http://www.sciencedirect.com/science/article/pii/S0028390816301150
> or
> http://dx.doi.org/10.1016/j.neuropharm.2016.03.043
>
> Thanking you and with best regards
>
> * Saivishal*
>
>
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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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