[Mne_analysis] fmri spatial prior

[GREGORY R KIRK]

Hi Alex,


So this functionality is still available in the c version ?


we have a very interesting measure derived from fMRI data

that we would like to establish the correspondence with electrical

activity source localized over frequency bands. We are submitting a grant

application with this as one of the aims. We have a very good research electrophysiologist

in our group. The data we will be working with is simultaneously acquired eeg/fmri

from UCL and possibly another site. Would there possibly be interest in collaborating to

implement something sensible ?


Best & thanks


Greg

________________________________
From: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Alexandre Gramfort <alexandre.gramfort at telecom-paristech.fr>
Sent: Tuesday, September 13, 2016 2:28:42 AM
To: Discussion and support forum for the users of MNE Software
Subject: Re: [Mne_analysis] fmri spatial prior

Hi Greg,

the python code does not implement fMRI weighting.

that's what we have in the MNE-C doc:

http://martinos.org/mne/stable/manual/source_localization/inverse.html?highlight=fmri#fmri-guided-estimates

quote:

"It turns out that the fMRI weighting has a strong influence on the
MNE but the noise-normalized estimates are much less affected by it."

as we recommend to use the noise-normalized estimates it has so far
not been requested.

Alex


On Mon, Sep 12, 2016 at 7:40 PM, GREGORY R KIRK <gkirk at wisc.edu> wrote:
> Hi folks,
>
>
> seems i used to see some documentation for how to use an
>
> fmri spatial prior as a weighted constraint for the mne source
>
> modelling tools. Is such functionality available in the current version ?
>
>
> thank you
>
>
> Greg
>
>
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