[Eeglablist] sLORETA question

Neri Baker neribaker at outlook.com
Thu Nov 18 19:37:32 PST 2021


Hi Arno,

Thanks for this info. I have been using eLORETA, but I was interested in whether similar functionality was available in EEGLAB (partly to reduce data transfer back and forth between packages, and partly to see the source code to understand exactly what the various parameters do).

Thank you for the suggestion of LCMV beamforming - it looks very interesting. 

Many thanks,
Neri

-----Original Message-----
From: eeglablist <eeglablist-bounces at sccn.ucsd.edu> On Behalf Of Delorme, Arnaud via eeglablist
Sent: Friday, 19 November 2021 12:19 PM
Cc: eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] sLORETA question

sLoreta is an obscure Loreta decomposition, which nobody uses except the NeuroGuide Neurofeedback software. As far as I know, the only way to use sLoreta is to use the NeuroGuide software. It has not been demonstrated to be superior (or inferior) to eLoreta (see the seminal article https://urldefense.proofpoint.com/v2/url?u=https-3A__www.frontiersin.org_articles_10.3389_fnbeh.2014.00066_full&d=DwIFAg&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=Zxef-biWZfrFE9qFTeNsdtYkrHGyh-ZQ8zYm6OxqK8wZhat8hxJJrtPPTFIbHWD1&s=aB-mQ2PLolwFcEqW8bssg_UhLPlQLXH6xXjEJNMt8Do&e= ). It seems relatively equivalent in numerical tests. If someone can enlighten us as to the difference between sLoreta and other Loreta source reconstruction methods, please do so.

Because sLoreta is a rare and not widely accepted form of Loreta, I would recommend instead Pascual Marqui's original eLoreta implementation. 

Also try LCMV beam forming (also available in DIPFIT) which provides less smooth solutions, and is recommended for region of interest connectivity analysis by brain connectivity analysis researchers such as Stefan Haufe.

Arno

> On Nov 17, 2021, at 11:15 AM, Neri Baker via eeglablist <eeglablist at sccn.ucsd.edu> wrote:
> 
> Hi Makoto
> 
> This sounds really useful. I am also interested in trying it out.
> 
> Kind regards,
> Neri
> ________________________________
> From: eeglablist <eeglablist-bounces at sccn.ucsd.edu> on behalf of ivano 
> triggiani via eeglablist <eeglablist at sccn.ucsd.edu>
> Sent: Thursday, November 18, 2021 7:43:30 AM
> To: Makoto Miyakoshi <mmiyakoshi at ucsd.edu>; eeglablist at sccn.ucsd.edu 
> <eeglablist at sccn.ucsd.edu>
> Subject: Re: [Eeglablist] sLORETA question
> 
> Dear Makoto,
> 
> I would be interested as well.
> 
> Thank you,
> 
> Ivano
> 
> On Wed, Nov 17, 2021, 3:23 PM Makoto Miyakoshi via eeglablist < 
> eeglablist at sccn.ucsd.edu> wrote:
> 
>> Dear Matthew,
>> 
>> Dipfit supports eLORETA but it is more like a proof of concept. I 
>> recommend you check it out first.
>> I have stripped the function and wrote my own wrapper. If you are 
>> interested, I can upload it online so that you can try it out. It is 
>> not an EEGLAB plugin so does not come with a nice GUI. My code also 
>> allows voxel-level subtraction to show current density differences 
>> between two conditions. Let me know if you want to try it out.
>> 
>> Makoto
>> 
>> On Tue, Nov 16, 2021 at 12:28 PM Gunn, Matthew P via eeglablist < 
>> eeglablist at sccn.ucsd.edu> wrote:
>> 
>>> Hello,
>>> 
>>> Does anyone know if there are any programs like sLORETA in EEGLAB or 
>>> an APP that MATlab has that could do this process. I know of 
>>> erpsource; but, didn't know if this tool existed or if a team is 
>>> currently working on
>> one.
>>> 
>>> Thank you for your time,
>>> 
>>> Matt G.
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