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ft_crossfrequencyanalysis.m
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ft_crossfrequencyanalysis.m
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function crossfreq = ft_crossfrequencyanalysis(cfg, freqlow, freqhigh)
% FT_CROSSFREQUENCYANALYSIS performs cross-frequency analysis
%
% Use as
% crossfreq = ft_crossfrequencyanalysis(cfg, freq)
% crossfreq = ft_crossfrequencyanalysis(cfg, freqlo, freqhi)
%
% The input data should be organised in a structure as obtained from the
% FT_FREQANALYSIS function. The configuration should be according to
%
% cfg.freqlow = scalar or vector, selection of frequencies for the low frequency data
% cfg.freqhigh = scalar or vector, selection of frequencies for the high frequency data
% cfg.channel = cell-array with selection of channels, see FT_CHANNELSELECTION
% cfg.method = string, can be
% 'coh' - coherence
% 'plv' - phase locking value
% 'mvl' - mean vector length
% 'mi' - modulation index
% cfg.keeptrials = string, can be 'yes' or 'no'
%
% Various metrics for cross-frequency coupling have been introduced in a number of
% scientific publications, but these do not use a sonsistent method naming scheme,
% nor implement it in exactly the same way. The particular implementation in this
% code tries to follow the most common format, generalizing where possible. If you
% want details about the algorithms, please look into the code.
%
% The modulation index implements
% Tort A. B. L., Komorowski R., Eichenbaum H., Kopell N. (2010). Measuring Phase-Amplitude
% Coupling Between Neuronal Oscillations of Different Frequencies. J Neurophysiol 104:
% 1195?1210. doi:10.1152/jn.00106.2010
%
% See also FT_FREQANALYSIS, FT_CONNECTIVITYANALYSIS
% Copyright (C) 2014-2017, Donders Centre for Cognitive Neuroimaging
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% FieldTrip is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with FieldTrip. If not, see <http://www.gnu.org/licenses/>.
%
% $Id$
% these are used by the ft_preamble/ft_postamble function and scripts
ft_revision = '$Id$';
ft_nargin = nargin;
ft_nargout = nargout;
% do the general setup of the function
ft_defaults
ft_preamble init
ft_preamble debug
ft_preamble loadvar freqlow freqhigh
ft_preamble provenance freqlow freqhi
ft_preamble trackconfig
% the ft_abort variable is set to true or false in ft_preamble_init
if ft_abort
% do not continue function execution in case the outputfile is present and the user indicated to keep it
return
end
if nargin<3
% use the same data for the low and high frequencies
freqhigh = freqlow;
end
% ensure that the input data is valid for this function, this will also do
% backward-compatibility conversions of old data that for example was read from
% an old *.mat file
freqlow = ft_checkdata(freqlow, 'datatype', 'freq', 'feedback', 'yes');
freqhigh = ft_checkdata(freqhigh, 'datatype', 'freq', 'feedback', 'yes');
% prior to 19 Jan 2017 this function had input options cfg.chanlow and cfg.chanhigh,
% but nevertheless did not support between-channel CFC computations
cfg = ft_checkconfig(cfg, 'forbidden', {'chanlow', 'chanhigh'});
% this function only support CFC computations within channels, not between channels
if isfield(cfg, 'chanlow') && isfield(cfg, 'chanhigh')
if isequal(cfg.chanlow, cfg.chanhigh)
cfg.channel = cfg.chanlow;
cfg = removefields(cfg, 'chanlow', 'chanhigh');
else
error('cross-channel CFC not supported, the channel selection should be the same for low and high frequencies')
end
end
cfg.channel = ft_getopt(cfg, 'channel', 'all');
cfg.freqlow = ft_getopt(cfg, 'freqlow', 'all');
cfg.freqhigh = ft_getopt(cfg, 'freqhigh', 'all');
cfg.keeptrials = ft_getopt(cfg, 'keeptrials');
% ensure that we are working on the intersection of the channels
cfg.channel = ft_channelselection(cfg.channel, intersect(freqlow.label, freqhigh.label));
% make selection of frequencies and channels
tmpcfg = [];
tmpcfg.channel = cfg.channel;
tmpcfg.frequency = cfg.freqlow;
freqlow = ft_selectdata(tmpcfg, freqlow);
[tmpcfg, freqlow] = rollback_provenance(cfg, freqlow);
try, cfg.chanlow = tmpcfg.channel; end
try, cfg.freqlow = tmpcfg.frequency; end
% make selection of frequencies and channels
tmpcfg = [];
tmpcfg.channel = cfg.channel;
tmpcfg.frequency = cfg.freqhigh;
freqhigh = ft_selectdata(tmpcfg, freqhigh);
[tmpcfg, freqhigh] = rollback_provenance(cfg, freqhigh);
try, cfg.chanhigh = tmpcfg.channel; end
try, cfg.freqhigh = tmpcfg.frequency; end
LF = freqlow.freq;
HF = freqhigh.freq;
ntrial = size(freqlow.fourierspctrm,1); % FIXME the dimord might be different
nchan = size(freqlow.fourierspctrm,2); % FIXME the dimord might be different
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% prepare the data
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
switch cfg.method
case 'coh'
% coherence
cohdatas = zeros(ntrial,nchan,numel(LF),numel(HF)) ;
for i =1:nchan
chandataLF = freqlow.fourierspctrm(:,i,:,:);
chandataHF = freqhigh.fourierspctrm(:,i,:,:);
for j = 1:ntrial
cohdatas(j,i,:,:) = data2coh(squeeze(chandataLF(j,:,:,:)),squeeze(chandataHF(j,:,:,:)));
end
end
cfcdata = cohdatas;
case 'plv'
% phase locking value
plvdatas = zeros(ntrial,nchan,numel(LF),numel(HF)) ;
for i =1:nchan
chandataLF = freqlow.fourierspctrm(:,i,:,:);
chandataHF = freqhigh.fourierspctrm(:,i,:,:);
for j = 1:ntrial
plvdatas(j,i,:,:) = data2plv(squeeze(chandataLF(j,:,:,:)),squeeze(chandataHF(j,:,:,:)));
end
end
cfcdata = plvdatas;
case 'mvl'
% mean vector length
mvldatas = zeros(ntrial,nchan,numel(LF),numel(HF));
for i =1:nchan
chandataLF = freqlow.fourierspctrm(:,i,:,:);
chandataHF = freqhigh.fourierspctrm(:,i,:,:);
for j = 1:ntrial
mvldatas(j,i,:,:) = data2mvl(squeeze(chandataLF(j,:,:,:)),squeeze(chandataHF(j,:,:,:)));
end
end
cfcdata = mvldatas;
case 'mi'
% modulation index
nbin = 20; % number of phase bin
pacdatas = zeros(ntrial,nchan,numel(LF),numel(HF),nbin) ;
for i =1:nchan
chandataLF = freqlow.fourierspctrm(:,i,:,:);
chandataHF = freqhigh.fourierspctrm(:,i,:,:);
for j = 1:ntrial
pacdatas(j,i,:,:,:) = data2pac(squeeze(chandataLF(j,:,:,:)),squeeze(chandataHF(j,:,:,:)),nbin);
end
end
cfcdata = pacdatas;
end % switch method for data preparation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% do the actual computation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
switch cfg.method
case 'coh'
[ntrial,nchan,nlf,nhf] = size(cfcdata);
if strcmp(cfg.keeptrials,'no')
crsspctrm = reshape(abs(mean(cfcdata,1)), [nchan, nlf, nhf]);
dimord = 'chan_freqlow_freqhigh' ;
else
crsspctrm = abs(cfcdata);
dimord = 'rpt_chan_freqlow_freqhigh' ;
end
case 'plv'
[ntrial,nchan,nlf,nhf] = size(cfcdata);
if strcmp(cfg.keeptrials,'no')
crsspctrm = reshape(abs(mean(cfcdata,1)), [nchan, nlf, nhf]);
dimord = 'chan_freqlow_freqhigh' ;
else
crsspctrm = abs(cfcdata);
dimord = 'rpt_chan_freqlow_freqhigh' ;
end
case 'mvl'
[ntrial,nchan,nlf,nhf] = size(cfcdata);
if strcmp(cfg.keeptrials,'no')
crsspctrm = reshape(abs(mean(cfcdata,1)), [nchan, nlf, nhf]);
dimord = 'chan_freqlow_freqhigh' ;
else
crsspctrm = abs(cfcdata);
dimord = 'rpt_chan_freqlow_freqhigh' ;
end
case 'mi'
[ntrial,nchan,nlf,nhf,nbin] = size(cfcdata);
if strcmp(cfg.keeptrials,'yes')
dimord = 'rpt_chan_freqlow_freqhigh' ;
crsspctrm = zeros(ntrial,nchan,nlf,nhf);
for k =1:ntrial
for n=1:nchan
pac = squeeze(cfcdata(k,n,:,:,:));
Q =ones(nbin,1)/nbin; % uniform distribution
mi = zeros(nlf,nhf);
for i=1:nlf
for j=1:nhf
P = squeeze(pac(i,j,:))/ nansum(pac(i,j,:)); % normalized distribution
% KL distance
mi(i,j) = nansum(P.* (log(P)-log2(Q)))/log(nbin);
end
end
crsspctrm(k,n,:,:) = mi;
end
end
else
dimord = 'chan_freqlow_freqhigh' ;
crsspctrm = zeros(nchan,nlf,nhf);
cfcdatamean = squeeze(mean(cfcdata,1));
for k =1:nchan
pac = squeeze(cfcdatamean(k,:,:,:));
Q =ones(nbin,1)/nbin; % uniform distribution
mi = zeros(nlf,nhf);
for i=1:nlf
for j=1:nhf
P = squeeze(pac(i,j,:))/ nansum(pac(i,j,:)); % normalized distribution
% KL distance
mi(i,j) = nansum(P.* (log(P)-log2(Q)))/log(nbin);
end
end
crsspctrm(k,:,:) = mi;
end
end % if keeptrials
end % switch method for actual computation
crossfreq.label = cfg.chanlow;
crossfreq.crsspctrm = crsspctrm;
crossfreq.dimord = dimord;
crossfreq.freqlow = LF;
crossfreq.freqhigh = HF;
ft_postamble debug
ft_postamble trackconfig
ft_postamble previous freqlow freqhigh
ft_postamble provenance crossfreq
ft_postamble history crossfreq
ft_postamble savevar crossfreq
end % function
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [cohdata] = data2coh(LFsigtemp,HFsigtemp)
HFamp = abs(HFsigtemp);
HFamp(isnan(HFamp(:))) = 0; % replace nan with 0
HFphas = angle(hilbert(HFamp'))';
HFsig = HFamp .* exp(sqrt(-1)*HFphas);
LFsig = LFsigtemp;
LFsig(isnan(LFsig(:))) = 0; % replace nan with 0
cohdata = zeros(size(LFsig,1),size(HFsig,1));
for i = 1:size(LFsig,1)
for j = 1:size(HFsig,1)
Nx = sum(~isnan(LFsigtemp(i,:) .* LFsigtemp(i,:)));
Ny = sum(~isnan(HFsigtemp(j,:) .* HFsigtemp(j,:)));
Nxy = sum(~isnan(LFsigtemp(i,:) .* HFsigtemp(j,:)));
Px = LFsig(i,:) * ctranspose(LFsig(i,:)) ./ Nx;
Py = HFsig(j,:) * ctranspose(HFsig(j,:)) ./ Ny;
Cxy = LFsig(i,:) * ctranspose(HFsig(j,:)) ./ Nxy;
cohdata(i,j) = Cxy / sqrt(Px * Py);
end
end
end % function
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [plvdata] = data2plv(LFsigtemp,HFsigtemp)
LFphas = angle(LFsigtemp);
HFamp = abs(HFsigtemp);
HFamp(isnan(HFamp(:))) = 0; % replace nan with 0
HFphas = angle(hilbert(HFamp'))';
plvdata = zeros(size(LFsigtemp,1),size(HFsigtemp,1)); % phase locking value
for i = 1:size(LFsigtemp,1)
for j = 1:size(HFsigtemp,1)
plvdata(i,j) = nanmean(exp(1i*(LFphas(i,:)-HFphas(j,:))));
end
end
end % function
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [mvldata] = data2mvl(LFsigtemp,HFsigtemp)
% calculate mean vector length (complex value) per trial
% mvldata dim: LF*HF
LFphas = angle(LFsigtemp);
HFamp = abs(HFsigtemp);
mvldata = zeros(size(LFsigtemp,1),size(HFsigtemp,1)); % mean vector length
for i = 1:size(LFsigtemp,1)
for j = 1:size(HFsigtemp,1)
mvldata(i,j) = nanmean(HFamp(j,:).*exp(1i*LFphas(i,:)));
end
end
end % function
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function pacdata = data2pac(LFsigtemp,HFsigtemp,nbin)
% calculate phase amplitude distribution per trial
% pacdata dim: LF*HF*Phasebin
pacdata = zeros(size(LFsigtemp,1),size(HFsigtemp,1),nbin);
Ang = angle(LFsigtemp);
Amp = abs(HFsigtemp);
[~,bin] = histc(Ang, linspace(-pi,pi,nbin)); % binned low frequency phase
binamp = zeros (size(HFsigtemp,1),nbin); % binned amplitude
for i = 1:size(Ang,1)
for k = 1:nbin
idx = (bin(i,:)==k);
binamp(:,k) = mean(Amp(:,idx),2);
end
pacdata(i,:,:) = binamp;
end
end % function