[FieldTrip] Nonparametric Satatics Based on "Blair and Karniski 1993" Using FieldTrip

[Kamia Kavi]

Hey David,



Thank you very much for your tip as well as your paper. I printed that and
will read it tomorrow.



Two follow-up questions:

1) So, to not cluster the timepoints/channels, is it enough the change the
‘cfg.correcm’ parameter from ‘cluster’ to ‘no’ and leave the other
parameters unchanged?



2) if cfg.correctm = ‘no’ (and, of course, using cfg.method =
'montecarlo'), are significant values (i.e., ones rather than zeros) in
stat.mask logical matrix already corrected for multiple comparisons? In
other words, can these ‘ones’ in the matrix be considered as statically
significant channel/timepoints between two conditions at a certain critical
value?



Best wishes,



Kamia

On Thu, Sep 6, 2018 at 7:35 PM David Groppe <david.m.groppe at gmail.com>
wrote:

> Hi Kamia,
>    The cluster-based permutation test implemented by FieldTrip is similar
> to the Blair & Karniski method:
>
> http://www.fieldtriptoolbox.org/tutorial/cluster_permutation_timelock
>
> If you set the parameters of the test such that no timepoint/electrode has
> any neighbours (i.e., you can't form any clusters), than it is equivalent
> to the Blair & Karniski method.
>
> For an explanation of how the cluster-based test differs from Blair &
> Karniski, I cover that in this review/tutorial paper:
>
> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060794/
>
> cheers,
>    -David
>
>
>
> On Thu, Sep 6, 2018 at 10:36 AM Kamia Kavi <kamiakavi at gmail.com> wrote:
>
>> Dear FieldTrip-ers,
>>
>> Is there an option in FirldTrip to perform a non-parametric statistics as
>> described in Blair and Karniski 1993?
>>
>> Best wishes,
>>
>> Kamia
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>> https://doi.org/10.1371/journal.pcbi.1002202
>>
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