[Mne_analysis] Comparison of brain responses under three different conditions?

[Denis A. Engemann]

Hi Maria,

> On 21 Dec 2014, at 12:51, Maria Hakonen <maria.hakonen at gmail.com> wrote:
> 
> Hi Denis,
> 
> Should I use two-way ANOVA if I also want to compare hemispheres, i.e. have a 2*3 (hemisphere*session) ANOVA table?

Sounds like the repeated measures anova is what you want to do here indeed. I just realized the sphericity correction is actually implemented by our code. So that should fly. Checkout the correction parameter.


> I would need to do group level analysis.
> 
> -Maria
> 
> 2014-12-21 12:38 GMT+02:00 Denis-Alexander Engemann <denis.engemann at gmail.com>:
>> Hi Maria,
>> 
>> 2014-12-21 10:18 GMT+01:00 Maria Hakonen <maria.hakonen at gmail.com>:
>>> Hi all,
>>> 
>>> I would need to find the time intervals where there are statistically significant differences between MEG responses measured under three different conditions.  I study the responses by comparing the mean values in steps of 200 ms between the range of 400-2400 ms. I would like to do this for responses from several brain areas. What could be the best way to compare the mean values of the tree responses? 
>> 
>> Single subject or group level?
>> For single subject a standard F-test would be appropriate. For groups a oneway repeated measures ANOVA, if I understand your design correctly (simply 3 different conditions).
>>  
>>> I have planned to try f_twoway_rm in a loop. However, when rmANOVA is used, sphericity test is needed, and if the assumption of sphericity is violated, p values need to be corrected. Is there any function for this in Python (e.g. Mauchly's sphericity test and Greenhouse-Geisser test)? 
>> 
>> Note that this only needed if you have more than 2 factors with more than two levels. Currently this is not implemented in our stats code. The other questions is why you need a 2-way test for 3 conditions. I probably did not fully understand your design.
>> 
>> Denis
>>  
>>> Many thanks already in advance!
>>> 
>>> Regards,
>>> Maria 
>>> 
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