[Mne_analysis] temporal decoding: group analysis for mixed design

[Alday, Phillip]

Do be careful when doing group-level statistics via inferential statistics on accuracy scores -- Allefeld at al 2016 show some of the problems with the naive approach using things like t-tests or ANOVA. You could use a Binomial/Bernoulli regression model to get around some of points they raise without needing to use their minimum information statistic.

Best,

Phillip

On 18/12/17 11:24, JR KING wrote:
Dear Yi-hui

Decoding is generally not really adapted for mix-designed, as the models are traditionally fit at the single subject level - i.e. your model cannot be easily optimized to look for an across-subject effect.

You can however compare the decoding scores across subjects/conditions as a first approximation, and specify individual subjects' score as your random variable.

For multifactorial within-subject effects, a simple approach can be to implement RSA; we recently added this example in MNE:
https://mne-tools.github.io/stable/auto_examples/decoding/decoding_rsa.html

I will refer you to Kriegoskorte's RSA papers to see how you adapt this analysis to your specific needs,

Kindest regards,

Jean-Rémi

On 18 December 2017 at 02:05, Yi-hui Hung <vedahung1116 at gmail.com<mailto:vedahung1116 at gmail.com>> wrote:
Hello MNE experts,

I have MEG data with two within-subject factors (each having 2 and 3 levels) and one between-subject factor (2 levels).  I performed decoding analysis on my MEG data by using the function " time_decod.fit". The question is how to perform group analysis in subject's decoding data in MNE (or outside MNE) for my mixed design (2 x 3 x 2 factorial design). Besides, I have another dependent variable by using "predict_proba" function to get the predicting probability. I want to test whether the distribution of predicting probability differ according to my design. Whether the difference of the distribution continues in time (e.g., 200-300ms after stimulus onset) does not matter. Suggestions will be appreciated.


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