[FieldTrip] How to find out dimensions of clusters without using ft_clusterplot

[Jan Ostrowski]

Hello everyone,

I was wondering whether there is a built-in option to get the dimensions 
of clusters in time-frequency data after conducting cluster-based 
permutation testing using ft_freqstatistics.

In my particular case, one positive cluster can be found that is 
significant. The output from ft_freqstatistics looks like this:

             prob: [60×40×31 double]
             posclusters: [1×32 struct]
             posclusterslabelmat: [60×40×31 double]
             posdistribution: [1×2000 double]
             negclusters: [1×25 struct]
             negclusterslabelmat: [60×40×31 double]
             negdistribution: [1×2000 double]
             cirange: [60×40×31 double]
             mask: [60×40×31 logical]
             stat: [60×40×31 double]
             ref: [60×40×31 double]
             dimord: 'chan_freq_time'
             freq: [1×40 double]
             label: {60×1 cell}
             time: [1×31 double]
             cfg: [1×1 struct]

I use the following configuration for ft_clusterplot, while my 
statistical results are limited to the average of a frequency interval 
(so that it has the dimensions 60x1x31):

                   alpha: 0.0500
                  parameter: 'stat'
                 subplotsize: [3 3]
                 highlightsizeseries: [8 8 8 8 8]
                 highlightcolorpos: 'green'
                highlighcolorneg: 'red'
                 fontsize: 20
                 colormap: [200×3 double]
                layout: 'easycapM11.lay'

When using ft_clusterplot on this output, only then do  I get 
information on the time interval. However, there is no log in which is 
stated which electrodes are part of the cluster.

Is there any way to obtain that information without running the cluster 
plot function, or do I need to extract this information manually?


Appreciate any help on this!

Best,
Jan

-- 
Jan Ostrowski, M.Sc.
Department of Systems Neuroscience
University Medical Center Hamburg-Eppendorf
Martinistr. 52
Building W34, Room 320b
D-20246 Hamburg, Germany

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