[Mne_analysis] label_sign_flip

[Alexandre Gramfort]

hello Tal,

mne.label_sign_flip is a Python implementation of one of the MNE approach
to compute a “label mean" i.e. get one time series of current
estimates per label.
If you average signed currents in a label you're
likely to destroy your signal by cancelation effects. The mne.label_sign_flip
command returns a sign convention that should be applied to your signed
estimates before averaging.

see:

http://martinos.org/mne/auto_examples/inverse/plot_compute_mne_inverse_epochs_in_label.html

let me know if it's unclear.

Alex

On Mon, Jun 4, 2012 at 10:34 PM, Tal Linzen <tl876 at nyu.edu> wrote:
> Dear MNE-python users,
>
> There's a new function in label.py called label_sign_flip. It is used in one
> of the examples:
>
> # compute sign flip to avoid signal cancelation when averaging signed values
> flip = mne.label_sign_flip(label, inverse_operator['src'])
>
> Could someone explain in a bit more detail what this function is designed to
> do and when it should be used?
>
> Thanks.
> Tal
>
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