[Eeglablist] amica based comparison

[Tarik S Bel-Bahar]

ICA does not usually decompose data from different participants into the
"same set of ICs" and in
"the same order".

However, you can determine which ICs are similar
across subjects by using techniques
to group ICs from different participants
such as study-level clustering in eeglab,
or the corrmap functionality which is also built into eeglab.


For a basic introduction to clustering ICs across
multiple subjects, check the eeglab online documentation.
For a basic intro regarding corrmap just check
the "help corrmap" or search for the
author's articles about corrmap via Google Scholar.



On Sat, Sep 15, 2012 at 11:25 AM, John Fredy <jfochoaster at gmail.com> wrote:

> Dear eeglab experts,
>
> Is possible make comparison between subjects in the ica's component
> space?, that is, I use one algorithm like AMICA, obtain the components and
> compare between subjects using the components: component number 1 in
> patient 1 against component 1 in patient 2, and so...
>
> Thanks in advance
>
> --
> John Ochoa
> Docente de Bioingeniería
> Universidad de Antioquia
>
>
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