[FieldTrip] Regression of behavioral data against EEG data
Burcu Bayram
burcu.bayram at univie.ac.at
Sat Dec 10 17:07:30 CET 2022
Dear FieldTrip community,
I'm new to regression analysis of EEG data and unsure which regression
outputs to use. Beta-coefficients give a very different pattern of
results compared to r squared values or p-values, although all of them
(to my understanding) should express a form of relation between the two
datasets. We are looking for help regarding the interpretation of those
data and which one to select for our analysis. In our model, behaviour
is the predictor and EEG activity is the outcome. The datapoints for
each are single experimental trials (~2000 per subject).
So far, we just used simple linear regression, but the plan is to use
multiple linear regression at a later stage.
The idea is to plot and interpret the regression results as if they were
EEG amplitudes. So we get a time course and a topography of regression
results, that help us to determine where and when in the brain behavior
predicts neural activity. Our main questions are:
1. Which value makes most sense to use as an indication of brain/
behavior relationship? The betas should provide the quality/ direction
of the relationship, but don't say anything about how large or important
that relationship is. The r squared or also the t or p values for each
coefficient tell something about the strength of the relationship. The
issue is, that they give really different activity patterns. You can see
the topographies of beta values, r squared values and p-values in the
attached images.
2. The second question is which of the single-subject regression outputs
actually can be used for group level plots and statistics: Is it
possible to average over e.g. betas or p-vales across subjects, and also
do group level statistics with (e.g. compare group-level p-values or
betas between two conditions)?
Thank you so much in advance!
Best regards,
Burcu
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