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

[Maria Hakonen]

Hi,

Is it that when I have hemisphere*session ANOVAs, I can use f_twoway_rm,
and this gives the corrected values?
Should one-way ANOVA be used in the cases where I am not interested in
hemisperic asymmetry? Is there any function for one way ANOVA that gives
sphericity corrected values?

-Maria

2014-12-21 14:21 GMT+02:00 Denis A. Engemann <denis.engemann at gmail.com>:

> 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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