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psr_lfp_bpw.m
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function bandpwr = psr_lfp_bpw(freq,parameters)
% PSR_LFP_BPW - Bandpower calculation from time-series data
%
% Syntax: bandpwr = psr_lfp_bpw(freq,parameters)
%
% Inputs:
% freq - FieldTrip LFP data structure
% parameters - See PSR_PARAMETERS_ANALYSIS
%
% Outputs:
% bandpwr - Array containing bandpowers, with shape:
% [Number of trials x Number of frequency bands]
%
% Dependencies: Signal Processing Toolbox
%
% See also: BANDPOWER
% PASER: Processing and Analysis Schemes for Extracellular Recordings
% https://github.com/tbrouns/paser
% Author: Terence Brouns
% Radboud University, Neurophysiology Dept.
% E-mail address: [email protected]
% Date: 2018
%------------- BEGIN CODE --------------
Fr = parameters.Fr;
fRange = parameters.analysis.bpw.frange;
tRange = [];
fNorm = [];
bandpwr = [];
if (~isempty_field(parameters,'parameters.analysis.bpw.trange')); tRange = parameters.analysis.bpw.trange; end
if (~isempty_field(parameters,'parameters.analysis.bpw.fnorm')); fNorm = parameters.analysis.bpw.fnorm; end
if (isempty_field(freq,'freq.trial') || isempty_field(freq,'freq.time')); return; end
% Set parameters
nBands = size(fRange,1);
nTrials = size(freq.trial,2);
bandpwr = zeros(nTrials,nBands);
for iTrial = 1:nTrials
T = freq.time {iTrial};
X = freq.trial{iTrial}';
if (~isempty(tRange))
i1 = find(T >= tRange(1),1);
i2 = find(T > tRange(2),1) - 1;
if (isempty(i1)); i1 = 1; end
if (isempty(i2)); i2 = length(T); end
X = X(i1:i2,:);
T = T(i1:i2);
end
% Remove NaNs
temp = [];
temp.trial = {X'};
temp.time = {T};
temp = psr_ft_nan_removal(temp);
X = temp.trial{1}';
if (~isempty(X))
if (~isempty(fNorm)); norm = mean(bandpower(X,Fr,fNorm)); % Normalization
else, norm = 1;
end
for iFreq = 1:nBands
bandpwr(iTrial,iFreq) = mean(bandpower(X,Fr,fRange(iFreq,:))) / norm; % Mean across channels
end
end
end
end