[Mne_analysis] Group level analysis on individual differences

[Denis A. Engemann]

        External Email - Use Caution        

To facilitate interfacing with R there is https://mne-tools.github.io/mne-r/index.html <https://mne-tools.github.io/mne-r/index.html>  
For toy examples, see vignettes, for example: https://mne.tools/mne-r/articles/plot_evoked_multilevel_model.html <https://mne.tools/mne-r/articles/plot_evoked_multilevel_model.html>
Hope that helps,
Denis



> On Jun 10, 2020, at 4:46 PM, Phillip Alday <phillip.alday at mpi.nl> wrote:
> 
>         External Email - Use Caution        
> 
> 
> For individual differences, you'll definitely want to use mixed-effects models. Unfortunately, the options for mixed models is rather limited in Python in general. 
> 
> That said, I've used MNE for years to do all the EEG/ERP wrangling and then used lme4/MixedModels.jl for the analysis of the extracted samples. For example, check out (shameless self promotion!): https://osf.io/pnaku <https://osf.io/pnaku>
> Phillip
> 
> 
> 
> On 10/6/20 11:20 am, S.P.H. Speer wrote:
>>         External Email - Use Caution        
>> 
>> Dear MNE team,
>>  
>> I’ve scrolled through the documentation on MNE and also searched the mailing list but could not really find any documentation on how to conduct group level analysis investigating individual differences. I would like to explore whether the difference in ERPS between two conditions within subjects differs along a behavioral variable across individuals. Is this feasible with the functions provided in MNE?
>> Ideally I would like to know at each timepoint how the difference between conditions correlates with the individual difference measure.
>>  
>> Thank you very much for your help,
>>  
>> Sebastian
>> 
>> 
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