[FieldTrip] (no subject)

[Cardinale, Vita (Stud. FPN / Alumni)]

Dear all,
I just started to use FIELDTRIP with going through the tutorial. Already reading in the data from the tutorial is not working as it should. Here is what I get when doing the trial definition for the fully incongruent (FIC) condition from the tutorial
“Trigger-based trial selection, Reading and preprocessing the interesting trials”:

 cfg                         = [];
  cfg.dataset                 = 'Subject01.ds';
  cfg.trialdef.eventtype      = 'backpanel trigger';
  cfg.trialdef.eventvalue     = 3; % the value of the stimulus trigger for fully incongruent (FIC).
  cfg.trialdef.prestim        = 1; % in seconds
  cfg.trialdef.poststim       = 2; % in seconds

  cfg = ft_definetrial(cfg);

I get this warning:

no trialfun was specified, using trialfun_general
> In ft_definetrial at 123
evaluating trialfunction 'trialfun_general'
readCTFds: Data set error : size of meg4 file(s)
           0 bytes (from dir command)
   179071200 bytes (from res4 file)
reading the events from 'Subject01.ds\Subject01.res4'
readCTFds: Data set error : size of meg4 file(s)
           0 bytes (from dir command)
   179071200 bytes (from res4 file)

When using hdr = ft_read_header('Subject01.ds') or hdr = ft_read_header('Subject01.ds/Subject01.res4')
I get this warning:

Warning: adding D:\Vita\fieldtrip-20120124\external\ctf toolbox to your Matlab path
readCTFds: Data set error : size of meg4 file(s)
           0 bytes (from dir command)
   179071200 bytes (from res4 file)

together with this output:

hdr =
             Fs: 300
         nChans: 187
       nSamples: 900
    nSamplesPre: 300
        nTrials: -1
          label: {187x1 cell}
           grad: [1x1 struct]
           orig: [1x1 struct]
       chantype: {187x1 cell}
       chanunit: {187x1 cell}

which according to the tutorial should be:

hdr =

             Fs: 300           % sampling frequency
         nChans: 187           % number of channels
       nSamples: 900           % number of samples per trial
    nSamplesPre: 300           % number of pre-trigger samples in each trial
        nTrials: 266           % number of trials
          label: {187x1 cell}  % cell-array with labels of each channel
           grad: [1x1 struct]  % gradiometer structure
           orig: [1x1 struct]  % additional header information

What could go wrong?
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