system
(system)
October 4, 2018, 1:20pm
1
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Dear MNE community,
Is there a simple way to simulate clean resting-state EEG data with N
electrodes?
Kind regards,
Davide Aloi.
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system
(system)
October 4, 2018, 1:24pm
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Hi Davide,
You probably need to specify what feature (oscillation, 1/f spectrum etc)
you precisely want to simulate.
Else you you can check this:
https://martinos.org/mne/dev/auto_examples/io/plot_objects_from_arrays.html
Hope that helps
JR
system
(system)
October 4, 2018, 1:36pm
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Thank you JR King.
I want to calculate some functional connectivity measures and assess the
effect of electrodes interpolation on these measures.
What approach would you suggest?
system
(system)
October 4, 2018, 1:48pm
4
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Check the mne.simulation module:
https://martinos.org/mne/stable/auto_examples/simulation/plot_simulate_raw_data.html
This shows how to create random sources and retrieve MEG signals.
Note that it may not be the most matured part of MNE, so... good luck
JR
JR
system
(system)
October 4, 2018, 2:00pm
5
Please modify the data_fun function in
https://martinos.org/mne/stable/auto_examples/simulation/plot_simulate_raw_data.html
And create secnarios of different statistical dependencies between the
four sources, like same or different phase betwen them.
Since electrode interpolation introduce zero lag connectivity, I think
connectivity metrics like phase locking which are sensitive to zerolag
will be effected more in comparsion to metrics like imaginary coherence
which are insensitive to zero lag.
Hope this help
Sheraz