Cortical excitability inversely modulates fMRI connectivity via low-frequency neuronal coupling

1. function params = get_stat_params_LFP(list_of_statistics)
2. % function to extract the parameters for all the LFP stats requested in
3. % list_of_statistics
4. % Inputs:
5. % list_of_statistics: a cell array containing the name of the statistics
6. % requested
7. % Outputs:
8. % params: a structure with analyses names as its fields, each with their
9. % own subfields containing the parameters of the statistics requested,
10. % for example: params.spectrum contains the %parameters for the spectrum
11. % statistics analyses
12. %% get parameters
13. n_statistics = length(list_of_statistics);
14. for stat=1:n_statistics
15. if strcmp('spectrum',list_of_statistics{stat})
16. params.spectrum.bands = {[0.1,1],[1,4],[4,8],[8,12],[12,30],[30,70],[70,150]};%,[0.1,4],[0.1,2]}; %requested frequency bands for statistics
17. params.spectrum.bands_name = {'slow','delta','theta','alpha','beta','gamma','hgamma'};%,'zero4','zero2'}; % corresponding bands name
18. params.spectrum.fof = 1; % zero if you don't want the fof analyses
19. params.spectrum.flim = 150; %Range of frequencies for cluster based correction
20. elseif strcmp('coherency',list_of_statistics{stat})
21. params.coherency.bands = {[0.1,1],[1,4],[4,8],[8,12],[12,30],[30,70]};%,[0.1,4],[0.1,2]}; %requested frequency bands for statistics
22. params.coherency.bands_name = {'slow','delta','theta','alpha','beta','gamma'};%,'zero4','zero2'}; % corresponding bands name;
23. params.coherency.flim = 40; %Set frequency limits for cluster based analyses
24. elseif strcmp('GC',list_of_statistics{stat})
25. %params.GC.bands = {[0.1,1],[1,4],[4,8],[8,12],[12,30],[30,70]}; %requested frequency bands for statistics
26. %params.GC.bands_name = {'infraslow','delta','theta','alpha','beta','gamma'}; % corresponding bands name;
27. params.GC.bands = {[0.1,1],[1,4],[4,8],[8,12]};
28. params.GC.bands_name = {'slow','delta','theta','alpha'};
29. elseif strcmp('PLV',list_of_statistics{stat})
30. params.PLV.sig_measure = {'PLV'}; % how you want to measure significancy of PLV, the other option is 'concentration';
31. params.PLV.th = 0.1; % the threshold for assessing the significance {value}>th ==> significant
32. elseif strcmp('slope',list_of_statistics{stat})
33. params.slope.frequency = [20,40]; % the frequency you that you have fitted the line
34. elseif strcmp('BLP',list_of_statistics{stat})
35. params.BLP = [];
36. else
37. error('you have requested analyses which are not yet supported!!!');
38. end
39. end
42. end

get_stat_params_LFP.m at commit 1f321d8, no license · at the source