Dear Brainstorm Team,

I want to conduct a non-parametric permutation test to assess the differences in connectivity values of theta band PTE brain networks between two groups of participants. However, after transforming the PTE connectivity matrix into a 68×68 matrix, I carried out some processing. How should I revert this matrix back to a 4624×1 vector format to enable the use of the following code for statistical analysis? Additionally, if I use the matrix processed by myself, can I change "'freqrange', [1, 80]" to "'freqrange', [4, 8]"?

Looking forward to your reply. I would be immensely grateful for any assistance you can provide.

```
sFiles = {...
'timefreq_connectn_average_230902_1836.mat', ...
'timefreq_connectn_average_230902_1836.mat',...
};
sFiles2 = {...
'timefreq_connectn_average_230902_1836.mat', ...
'timefreq_connectn_average_230902_1836.mat',...
};
% Process: Perm t-test equal [-2000ms,2000ms 1-80Hz] H0:(A=B), H1:(A<>B)
sFiles = bst_process('CallProcess', 'process_test_permutation2', sFiles, sFiles2, ...
'timewindow', [-2, 2], ...
'freqrange', [1, 80], ...
'rows', '', ...
'isabs', 0, ...
'avgtime', 1, ...
'avgrow', 0, ...
'avgfreq', 0, ...
'matchrows', 0, ...
'iszerobad', 1, ...
'test_type', 'ttest_equal', ...
'randomizations', 1000, ...
'tail', 'two');
ReportFile = bst_report('Save', sFiles);
bst_report('Open', ReportFile);
```

Yours,

Xiaoke