[Eeglablist] LIMO design - conditions within and across sessions
Dr Cyril, Pernet
wamcyril at gmail.com
Tue Apr 12 22:45:32 PDT 2022
Hi Lee,
I'm replying on the discussion list as this is of greater interest to
all (and github issues are more for code than how to analyse something).
From your post on
https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_LIMO-2DEEG-2DToolbox_limo-5Ftools_issues_105&d=DwICaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=acPf8ijO6hJ0XqdS4_tO2ABMvQthfGXSfG5NvgIfQAl46bQoFwlq3fh8qXZ_U-E0&s=I8y_TbbMgBIDOQwV4jlsyeRFq8gExYo_OI-oE9M1OU0&e= :
'The actual experiment is a drug study with three different drug
sessions (placebo, low dose, high dose) each done by each subject 1 week
apart. While there are two conditions in each drug session (angry faces/
neutral faces), I am wondering if I need to concatenate the three drug
sessions into a single file. I didn't want to do that because they are
three separate sessions, and I though if I ever wanted to do work with
components this would not make much sense.'
From an analysis perspective, it is better IMO to leave sessions
separated. In LIMO EEG, sessions are analysed separately allowing to
have their own mean activity and variance. While in some designs it
won't make a difference, in a case like yours this is likely relevant as
you may have overall differences between sessions reflecting the drug
effect. Concretely this means that in STUDY, you have to input 3 set
files per subject, indicating the session. Then you create a design with
your 2 conditions leading to estimate the face effect for each session.
Finally at the group level you can run a repeated measure 3*2 ANOVA
using beta parameters from all sessions.
Best wishes
Cyril
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