[FieldTrip] labeling EEG head maps against classes of mental workload

[Julian Keil]

Dear Luca,

this seems to be more of conceptual problem than a fieldtrip-related problem, which is possibly why nobody has answered you so far.
The main problem with your question I see is that you are trying to infer a psychological concept (workload) from your electrophysiological data.
However, this is only possible if you know beforehand how your psychological concept maps to electrophysiology.
In other words, you need some sort of (e.g. behavioral) test to indicate your psychological concept, which you can then relate (e.g. via a correlation) to your EEG data.

I hope this helps,

Julian


________________
Prof. Dr. Julian Keil

Biological Psychology
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24118 Kiel, Germany

+49 - 0431 - 880 - 4872
http://www.biopsych.uni-kiel.de/en


> Am 25.06.2019 um 10:36 schrieb Luca L. <longo.luca at gmail.com>:
> 
> Dear community
> 
> I was wondering whether you can help me with the problem described below.
> 
> I have 5 head maps (for different  EEG bands, horizontally displayed), produced from 32 electrodes (10-20 system). Each picture (sets of 5 horizontal head maps) is the summary of 1 second of EEG recordings (not confined to stimuli and randomly taken on the time line). Each head map uses colors for power ( BLUE -> very low power; RED -> very high power for that band)
> 
> I would need:
> 1) given 5 head maps (horizontally displayed and representing 1 second of activity via different EEG bands), how can I extract a representative class of mental workload (for that 1 second)
> 2) if the above is possible, does it require a human expert who can label via visual inspection or can this labeling be done automatically?
> 3) which theories/procedures/methods would you use for enabling this mapping and could you explain how this can be done in details please?
> 
> Thanking you in advance for your kind help, I wish you all a nice day.
> Luca
> <500-502.png>
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> https://doi.org/10.1371/journal.pcbi.1002202

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