[Eeglablist] EEG/MEG-neuroimaging technical report: eLORETA

[Agatha Lenartowicz]

This comes at an opportune time ~ I wanted to ask the EEG community  
whether you can recommend a decent report on localization success for  
'deep' sources &, conversely, the validity of deep-source solutions  
produced by inverse-solution algorithms.

I have been working with sLORETA in the past, and am curious about  
the validity of solutions pointing to deep nuclei such as in the  
striatum - which arise in response to widespread scalp distributions  
(e.g., P3). The general literature is difficult to judge - given the  
wide array of opinions.

Kind regards,
Agatha

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Neuroscience of Cognitive Control Laboratory
Department of Psychology
Princeton University
Princeton, NJ, 08540

Tel:    609 258 7512
Fax:   609 258 7610
Email: alenarto at Princeton.EDU

www.princeton.edu/~alenarto/



On Oct 22, 2007, at 3:40 PM, Roberto D. Pascual-Marqui wrote:

> A technical report with new results in the field of
> EEG/MEG-neuroimaging (including eLORETA) can be downloaded from:
> http://arxiv.org/abs/0710.3341
> Title and abstract are included below.
> Cordially,
> Roberto
> --
> R.D. Pascual-Marqui
> The KEY Institute for Brain-Mind Research
> University Hospital of Psychiatry
> pascualm at key.uzh.ch
> www.keyinst.uzh.ch/loreta
> -----------------------------------------------------
>
> Discrete, 3D distributed, linear imaging methods of electric neuronal
> activity. Part 1: exact, zero error localization
>
> Abstract: This paper deals with the EEG/MEG neuroimaging problem:
> given measurements of scalp electric potential differences (EEG:
> electroencephalogram) and extracranial magnetic fields (MEG:
> magnetoencephalogram), find the 3D distribution of the generating
> electric neuronal activity. This problem has no unique solution. Only
> particular solutions with "good" localization properties are of
> interest, since neuroimaging is concerned with the localization of
> brain function. In this paper, a general family of linear imaging
> methods with exact, zero error localization to point-test sources is
> presented. One particular member of this family is sLORETA. It is
> shown here that sLORETA has no localization bias in the presence of
> measurement and biological noise. Another member of this family,
> denoted as eLORETA (exact low resolution brain electromagnetic
> tomography), is a genuine inverse solution (not merely a linear
> imaging method) with exact, zero error localization in the presence of
> measurement and structured biological noise. The general family of
> imaging methods is further extended to include data-dependent
> (adaptive) quasi-linear imaging methods, also with the exact, zero
> error localization property.
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