- Usage [source]:
.. function:: [p_perm, null_dist] = perm_sphere_p(x, y, perm_id, corr_type)
- Description:
- Generate a p-value for the spatial correlation between two parcellated cortical surface maps (authors: @frantisekvasa, @saratheriver)
- Inputs:
- x (double array) – One of two map to be correlated
- y (double array) – The other map to be correlated
- perm_id (double array) – Array of permutations, size = [m x nrot]
- corr_type (string, optional) - Correlation type {‘pearson’, ‘spearman’}. Default is ‘pearson’.
- Outputs:
- p_perm (double) – Permutation p-value
- null_dist (double array) - Null correlations, size = [n_rot*2 x 1].
- References:
- Alexander-Bloch A, Shou H, Liu S, Satterthwaite TD, Glahn DC, Shinohara RT, Vandekar SN and Raznahan A (2018). On testing for spatial correspondence between maps of human brain structure and function. NeuroImage, 178:540-51.
- Váša F, Seidlitz J, Romero-Garcia R, Whitaker KJ, Rosenthal G, Vértes PE, Shinn M, Alexander-Bloch A, Fonagy P, Dolan RJ, Goodyer IM, the NSPN consortium, Sporns O, Bullmore ET (2017). Adolescent tuning of association cortex in human structural brain networks. Cerebral Cortex, 28(1):281–294.