[Mne_analysis] Topolots for each band of frequencies

Dan McCloy dan.mccloy at gmail.com
Wed Apr 17 17:52:25 EDT 2019
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Hi Sundar,
Unfortunately the plot_topomap method of Evoked objects does not have the
`bands` argument like the Epochs.plot_psd_topo method does.

I think the general approach would be:
1. read in your evoked data from CSV format into a NumPy array
2. use mne.EvokedArray()
<https://mne-tools.github.io/dev/generated/mne.EvokedArray.html> to convert
it to an MNE Evoked object
3. use Evoked.filter()
<https://mne-tools.github.io/dev/generated/mne.Evoked.html?highlight=evoked%20filter#mne.Evoked.filter>
method to isolate the frequency band
4. use Evoked.plot_topomap
<file:///opt/mne-python/doc/_build/html/generated/mne.Evoked.html#mne.Evoked.plot_topomap>
method to plot (see this tutorial
<https://mne-tools.github.io/dev/auto_examples/visualization/plot_evoked_topomap.html>
for examples)


On Tue, Apr 16, 2019 at 10:06 PM Sundar N <suntracks at gmail.com> wrote:

>         External Email - Use Caution
>
> Thanks Mary,
> This is very helpful, however can i do the same with evoked data, as i
> have non - epoched eeg data .
> This is in csv format with just channel numbers .
>
> Regards,
> Sundar.
>
> On Sun, Apr 14, 2019 at 11:06 AM Maryam Zolfaghar <
> Maryam.Zolfaghar at colorado.edu> wrote:
>
>>         External Email - Use Caution
>>
>> Hi,
>>
>> The following link might be helpful:
>>
>>
>> https://martinos.org/mne/stable/auto_tutorials/plot_sensors_time_frequency.html
>>
>> -Mary
>>
>> On Sat, Apr 13, 2019 at 11:28 PM Sundar N <suntracks at gmail.com> wrote:
>>
>>>         External Email - Use Caution
>>>
>>> HI ,
>>> Is there a way to generate topoplots for only a particular frequency
>>> band of ERP data? I would like to generate  topoplots for each frequency
>>> band separately to visualize alpha / delta / beta bands activations in the
>>> topoplots . As of now am able to generate a generic topoplots with mne
>>> libraries. Would like to tweak this to make it frequency band specific.
>>> Any help here appreciated.
>>>
>>> Regards,
>>> Sundar.
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