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, any values in the dSPM maps that are higher than the constructed threshold should be considered as significant (typically can be p<0.05 or p<0.01 with 95% and 99% confidence interval respectively).
best,