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<p class="MsoNormal"><span lang="SV">Dear Fieldtrip users<o:p></o:p></span></p>
<p class="MsoNormal">I am working on calculating trial level time series of spectral power in source space, for a MEG dataset I have collected. I have pre-processed and cleaned my data, which for a single subject is stored in the variable
<i>data_meg</i>. I have the following variables:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">data_meg: The cleaned and preprocessed dataset for a single subject<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo2">Headmodel_mne_meg and sourcemodelT: aligned headmodels, and sourcemodel (which has been calculated using Freesurfer)<o:p></o:p></li></ul>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">If anyone has experience they can share it would be very appreciated. I have made an attempt below, the code runs but I cant tell if the results makes sense or not.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Thank you for your time,<o:p></o:p></p>
<p class="MsoNormal">Regards<o:p></o:p></p>
<p class="MsoNormal">Johan<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">My code is as follows:<o:p></o:p></p>
<p class="MsoNormal"><i>% Load the data<o:p></o:p></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">[data_meg, headmodel_mne_meg, sourcemodelT] = load_data(wsl_path,par_i,false);<o:p></o:p></span></p>
<p class="MsoNormal"><i><o:p> </o:p></i></p>
<p class="MsoNormal"><i>% Compute the forward solution<o:p></o:p></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">leadfield_mne = compute_leadfield(data_ meg, sourcemodelT, headmodel_mne_meg);<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><i>% Calculate evoked data and apply noise covariance matrix from empty room recording<o:p></o:p></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">cfg.covariance =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">cfg.covariancewindow = [-1 7.5];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">cfg.keeptrials =
<span style="color:#AA04F9">'no'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">data_ind_avg = ft_timelockanalysis(cfg, data_ meg);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">data_ind_avg.cov = cov_noise{par_i}; % cov_noise{par_i} is the subject covariance matrix from the empty room recording<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"><o:p> </o:p></span></p>
<p class="MsoNormal"><i><span style="font-size:10.0pt;font-family:Consolas">% Calculate the spatial filter using the evoked dataset and the noise covariance<o:p></o:p></span></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">source_avg = source_recon(leadfield_mne, headmodel_mne_meg, [],data_ind_avg);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">filter = source_avg.avg.filter;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">% Do trial level source reconstruction using the filter
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">source_trial = source_recon_trials(leadfield_mne, headmodel_mne_meg, filter, data_meg);<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><i>% Calculate trial level spectral power using superlets and save the power spectrum<o:p></o:p></i></p>
<p class="MsoNormal"><i>% This is done by “faking” a fieldtrip structure by putting each single trial into the .avg field and then running ft_freqanalysis<o:p></o:p></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">foi = 8:26;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">toi = -1:0.01:7.5;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas">powspctrm = zeros(length(data_meg.trialinfo),<span style="color:#0E00FF">...</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> size(sourcemodelT.pos,1),<span style="color:#0E00FF">...</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> length(foi),<span style="color:#0E00FF">...</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> length(toi));
<o:p></o:p></span></p>
<p class="MsoNormal"><i><o:p> </o:p></i></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">parfor
</span><span style="font-size:10.0pt;font-family:Consolas">iTrial = 1:length(data_meg.trialinfo)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> source_single_trial = rmfield(source_trial,<span style="color:#AA04F9">"trial"</span>); % These two lines “fake” a single trial which is then processed by ft_freqanalysis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> source_single_trial.avg = source_trial.trial(iTrial);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.method =
<span style="color:#AA04F9">'superlet'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.output =
<span style="color:#AA04F9">'pow'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.pad =
<span style="color:#AA04F9">'nextpow2'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.foi = foi;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.toi = toi;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#028009">
% cfg.order goes from 1 to 30 (https://www.biorxiv.org/content/10.1101/583732v4.full.pdf)</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.order = floor(linspace(1,30,numel(cfg.foi)));<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.width = 5;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.gwidth = 3;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> TFR_induced = ft_freqanalysis(cfg,source_single_trial);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> powspctrm(iTrial,:,:,:) = TFR_induced.powspctrm;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">end</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#028009">% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#028009">% LOCAL FUNCTIONS %</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#028009">%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">function
</span><span style="font-size:10.0pt;font-family:Consolas">leadfield_mne = compute_leadfield(data_meg, sourcemodelT, headmodel_mne_meg)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.grad = data_meg.grad;
<span style="color:#028009">% sensor positions</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.channel =
<span style="color:#AA04F9">'meggrad'</span>; <span style="color:#028009">% the used channels</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.senstype =
<span style="color:#AA04F9">'meg'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.sourcemodel = sourcemodelT;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.headmodel = headmodel_mne_meg;
<span style="color:#028009">% volume conduction model</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> leadfield_mne = ft_prepare_leadfield(cfg,data_meg);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">end</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">function
</span><span style="font-size:10.0pt;font-family:Consolas">source = source_recon(leadfield_mne, headmodel_mne_meg, filter, data)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.method =
<span style="color:#AA04F9">'mne'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.channel =
<span style="color:#AA04F9">'meggrad'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.senstype =
<span style="color:#AA04F9">'meg'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.latency = [-1 7.5];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.sourcemodel = leadfield_mne;
<span style="color:#028009"> </span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.headmodel = headmodel_mne_meg;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.prewhiten =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.lambda = 3;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.scalesourcecov =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
if </span>isempty(filter)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.keepfilter =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
else</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.sourcemodel.filter = filter;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
end</span> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> source = ft_sourceanalysis(cfg,data);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">end<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">function
</span><span style="font-size:10.0pt;font-family:Consolas">source_trial = source_recon_trials(leadfield_mne, headmodel_mne_meg, filter, data_meg)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.method =
<span style="color:#AA04F9">'mne'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.channel =
<span style="color:#AA04F9">'meggrad'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.senstype =
<span style="color:#AA04F9">'meg'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.latency = [-1 7.5];<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.sourcemodel = leadfield_mne;
<span style="color:#028009"> </span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.headmodel = headmodel_mne_meg;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.prewhiten =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.lambda = 3;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.scalesourcecov =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
if </span>isempty(filter)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.mne.keepfilter =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
else</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.sourcemodel.filter = filter;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> <span style="color:#0E00FF">
end</span><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.keeptrials =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> cfg.rawtrial =
<span style="color:#AA04F9">'yes'</span>;<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"> source_trial = ft_sourceanalysis(cfg,data_meg);<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas;color:#0E00FF">end</span><span style="font-size:10.0pt;font-family:Consolas"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:Consolas"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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