[FieldTrip] Running cluster-based permutation test on fMRI data

[Schoffelen, J.M. (Jan Mathijs)]

Dear Lene,

Is your fMRI volumetric? If so, I think it would be easiest to provide your data as a type ’source’ structure, and use ft_sourcestatistics instead. This does not require a ’neighbours’ structure, because it treats the spatial dimension automatically as 3D-space (provided the input data is well-defined).

Best wishes,

Jan-Mathijs



On 17 Jul 2019, at 09:53, Lene Schmidt <lene.schmidt at gmx.at<mailto:lene.schmidt at gmx.at>> wrote:

Dear community,

I would like to run a cluster-based permutation test on fMRI data. I organized my data as one would do running ft_timelockstatistics on EEG data. The only difference is that I provide a neighbours structure referencing a three-dimensional layout. When running ft_timelockstatistics, I get an error in the findcluster function (line 56) which seems to check whether the layout is two-dimensional (which it is not).

Does anyone know if rewriting the findcluster function will suffice to successfully run a cluster test or if there will be more errors in other functions? Has anyone else found a good workaround for this problem?

Any help is greatly appreciated.

Best,
Lene
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