[Mne_analysis] cluster permutation t tests question

Eric Larson larson.eric.d at gmail.com
Wed Apr 8 11:13:27 EDT 2020
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I think it should, yeah.

Eric


On Wed, Apr 8, 2020 at 11:03 AM Fleur GAUDFERNAU <
fleur.gaudfernau at pasteur.fr> wrote:

>         External Email - Use Caution
>
> Thank you! Would it render the same result as using
> permutation_cluster_1samp_test?
> ------------------------------
> *De :* mne_analysis-bounces at nmr.mgh.harvard.edu <
> mne_analysis-bounces at nmr.mgh.harvard.edu> de la part de Eric Larson <
> larson.eric.d at gmail.com>
> *Envoyé :* mercredi 8 avril 2020 15:23:10
> *À :* Discussion and support forum for the users of MNE Software
> *Objet :* Re: [Mne_analysis] cluster permutation t tests question
>
>
>         External Email - Use Caution
>
> The easiest way to do it is just to make the time dimension a singleton
> with something like X[:, np.newaxis, :].
>
> Eric
>
>
> On Wed, Apr 8, 2020 at 7:20 AM Fleur GAUDFERNAU <
> fleur.gaudfernau at pasteur.fr> wrote:
>
>>         External Email - Use Caution
>>
>> Hello,
>>
>> I have a question regarding cluster permutation t tests.
>>
>>
>> I want to make a 1 sample t-test between 2 conditions, comparing Power
>> Spectral Densities averaged over epochs and frequencies, defined at each
>> source. Hence the clustering would only be spatial, not spatio-temporal.
>>
>> Do I need to use spatio_temporal_cluster_1samp_test and give it as
>> argument an array of shape (n_subjects, n_vertices) and made of contrasted
>> PSD values?
>>
>>
>> Thanks in advance,
>>
>> Fleur
>>
>>
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