Statistical analysis of source estimates

[yuyu]

Hi, I want to ask you about the source statistical test of dSPM method. The tutorial said that the dSPM value with fixed orientation(loose=0) related to the t distribution while dSPM values with free orientation contstraint are F-distributed. Now, if I have 10 subjects in a single experiment, how to determine the dSPM value corresponding to the statistically significant p value, such as 0.05, 0.01?

• MNE version: 1.3
• operating system: Windows 10

[dasdiptyajit (Diptyajit Das)]

@yuyu Hi, I have provided the solution in another post.

best,

[richard (Richard Höchenberger)]

@dasdiptyajit Could you link to this post, please?

[dasdiptyajit (Diptyajit Das)]

The solution is provided here:

what is the Unit of source estimates

hi @yuyu, Yes, you are right but the t-value that you have suggested is for a one-tail. For two-tails test, it should be higher. If you have a signed values in your dSMP solution, it is recommended to use two-tails distribution to construct your cutoff threshold. You can use the following code: from scipy import stats n_subjects = 10 # no. of subject p_low = 0.05 # p-value #for two-tails threshold = float(“{:.2f}”.format(-stats.distributions.t.ppf(p_low / 2., n_subjects - 1))) Note, an…