[FieldTrip] fieldtrip Digest, Vol 167, Issue 2

Schoffelen, J.M. (Jan Mathijs) janmathijs.schoffelen at donders.ru.nl
Mon Oct 7 17:36:59 CEST 2024


Hi Edoardo,

It is not clear to me what you mean with ‘it works only if….’

Best wishes,
Jan-Mathijs


On 3 Oct 2024, at 16:18, Edoardo Pinzuti via fieldtrip <fieldtrip at science.ru.nl> wrote:

Dear  Jan-Mathijs,

it works only if fixedori is 'yes'  since filt = pinv(sqrt(lf' * invCy_squared * lf)) * lf' *invCy;  lf  can have only one orientation with this implementation.

thanks fo the hint
Edoardo

Il giorno gio 3 ott 2024 alle ore 12:10 <fieldtrip-request at science.ru.nl<mailto:fieldtrip-request at science.ru.nl>> ha scritto:
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Today's Topics:

   1. Re: lcmv weightnorm (Schoffelen, J.M. (Jan Mathijs))


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Message: 1
Date: Wed, 2 Oct 2024 12:07:39 +0000
From: "Schoffelen, J.M. (Jan Mathijs)"
        <janmathijs.schoffelen at donders.ru.nl<mailto:janmathijs.schoffelen at donders.ru.nl>>
To: FieldTrip discussion list <fieldtrip at science.ru.nl<mailto:fieldtrip at science.ru.nl>>
Subject: Re: [FieldTrip] lcmv weightnorm
Message-ID: <F6D2DFE0-0210-4BA2-BC1E-95BBDBC3029A at donders.ru.nl<mailto:F6D2DFE0-0210-4BA2-BC1E-95BBDBC3029A at donders.ru.nl>>
Content-Type: text/plain; charset="utf-8"

Hi Edoardo,

The first thing I would check would be the sanity of the sensor level data. Are the sensor level data (i.e. the time series on which you computed the sensor covariance, and te resulting sensor covariance) real-valued? If this is not the case, then somehow the spatial filters that you compute automagically become complex-valued. If it’s not due to the sensor level data being ill-behaved in terms of complex-valuedness, my next diagnostic step would be to put some breakpoints in the matlab code (ft_inverse_lcmv), and investigate step by step what is happening.

Good luck,
Jan-Mathijs

> On 27 Sep 2024, at 18:50, Edoardo Pinzuti via fieldtrip <fieldtrip at science.ru.nl<mailto:fieldtrip at science.ru.nl>> wrote:
>
> Dear Fieldtrip users,
>
> Do you know why if I use this setting cfg.lcmv.weightnorm = 'nai' for my lcmv beamformer analysis I get complex value avg.mom.
>
> I am doing a lcmv on resting state data and I need the timecourses of specific ROIs is this "nai" parameter required ?
>
> Thanks
> Edoardo
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