tfrStats.tfr_spw_stats_minmax module

tfrStats.tfr_spw_stats_minmax.tfr_spw_stats_minmax(paths, cond, svar, fband, n_perm)

Permutation based TFR statistical asessement based on min-max

Function to compute the truncated min-max distribution keeping the permutations for each condition and recording site. It captures the variations at the extreme of the null ditribution. In the min-max approach the minimum and maximum values at each permutations are used.

Todo

• Implement onset shifting to account for whole trial (in the current example we pool values from the 400-1000 ms time window).

• Implement compatibilityu with Syncopy (for now it relies on ftPool_… .mat containing the TFRs computed in Fieldtrip).

Parameters:

• input_path (string) – path to the .npz file.

• condition (in) – condition index (i.e. 0, 1, 2, 3).

• svar (int) – spectral power or GPR (not implemented here).

• fband (int) – frequency band index (i.e. low, high, higher).

• obs (int) – [nullType, percentile], two integeres: 0 for min-max, 1 for whole, 0-100 percentile.

• correction (int) – 1 for p-values, 2 for cluster corrected p-values.

• cluster_size (int) – cluster size.

• alpha (float) – alpha.

Returns:

empirical time frequency representation n_conds x n_sites x n_freqs x n_time (i.e. 30, 12, 16, 113).

Returns:

null time frequency representation (i.e. 30, 12, 16, 113 or 1000, 30, 12, 16, 2).

Return type:

float

@author: Nicolas Gravel, 19.09.2023