[FieldTrip] cluster-based permutation test in the time dimension

[Songhee Kim]

Thanks Jan-Mathijs. I have the following questions:

1. So minnbchan is only for the data in the sensor space, correct?
2. If so, is the 'cluster' method available at all for data in the source
space as a means of multiple comparisons correction?

Basically I was wondering if I can run a cluster-based permutation t-test
on the source-level data. For example, I might want to average brain
activities across all the vertices within an ROI, get a timeseries, and
then do a permutation t-test on it such that a cluster is formed if a
t-statistic is above a certain threshold at least for, say, 5 contiguous
time samples. (This is a temporal clustering test, and one might want to do
a spatio-temporal clustering test where a cluster is formed if an
above-threshold statistic is found for N adjacent time samples and M
adjacent vertices, etc).

I hope I explained my question more clearly. Thanks!

Best,
Songhee

On Wed, Nov 24, 2021 at 7:16 AM Schoffelen, J.M. (Jan Mathijs) via
fieldtrip <fieldtrip at science.ru.nl> wrote:

> Hi Songhee,
>
> I don’t know whether I fully understand your question, but I think that
> such option does not exist. The option minnbchan only exists (and is
> functional) for channel level data, in order to define the minimum number
> of suprathreshold neighbouring channels. Across the time and frequency etc.
> dimension the spatial neighbourhood is implicit in the consecutive
> time/freq points, so each sample by definition only has 2 neighbours (one
> on either side).
>
> Note that minnbchan will not work for ft_sourcestatistics, as far as I
> know.
>
> Best wishes,
> Jan-Mathijs
>
>
> On 11 Nov 2021, at 01:17, Songhee Kim via fieldtrip <
> fieldtrip at science.ru.nl> wrote:
>
> Hi folks,
>
> I wonder if a cluster-based permutation test *with respect to the
> temporal dimension* is implemented in Fieldtrip. I can see that there is
> an option to set a minimal number of channels to form a cluster (i.e., minnbchan)
> when running ft_sourcestatistics. Is there a similar option for the
> temporal dimension? Any help would be appreciated!
>
> Best,
> Songhee
> --
> *Songhee Kim, PhD*
> Postdoctoral Fellow
> Department of Neurology
> Medical College of Wisconsin
> _______________________________________________
> fieldtrip mailing list
> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__mailman.science.ru.nl_mailman_listinfo_fieldtrip&d=DwMGaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=tlK7RBNy-D_i9Enf1gYqi-z8d4dFj8ItNQJ8lOt6XjU&m=Wqztp68kBoCt6n2thC9cgh3-Tcrm200Ty2--1jqQyoAxRW9Zb2RaBa0vaxrCxVJ3&s=Dk_7Mrz_rfMyElNy8KwqhIhgPA_q5SQDeirXCJYTZCY&e=>
>
> https://urldefense.com/v3/__https://doi.org/10.1371/journal.pcbi.1002202__;!!HJOPV4FYYWzcc1jazlU!qoMuq-6Rx4TBja-YmTB2Dugme5qwZZhndJEsK-qVvkFq5CbppZ4ZN-0vC_NYj6fRCVjcyn0N_AArClw$
>
>
> _______________________________________________
> fieldtrip mailing list
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__mailman.science.ru.nl_mailman_listinfo_fieldtrip&d=DwIGaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=tlK7RBNy-D_i9Enf1gYqi-z8d4dFj8ItNQJ8lOt6XjU&m=Wqztp68kBoCt6n2thC9cgh3-Tcrm200Ty2--1jqQyoAxRW9Zb2RaBa0vaxrCxVJ3&s=Dk_7Mrz_rfMyElNy8KwqhIhgPA_q5SQDeirXCJYTZCY&e=
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.1371_journal.pcbi.1002202&d=DwIGaQ&c=slrrB7dE8n7gBJbeO0g-IQ&r=tlK7RBNy-D_i9Enf1gYqi-z8d4dFj8ItNQJ8lOt6XjU&m=Wqztp68kBoCt6n2thC9cgh3-Tcrm200Ty2--1jqQyoAxRW9Zb2RaBa0vaxrCxVJ3&s=NxM8WEp-uUfbz_a0W-RTkDzQUWh-QRgowN6qgsnOebM&e=
>


-- 
*Songhee Kim, PhD*
Postdoctoral Fellow
Department of Neurology
Medical College of Wisconsin
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20211126/666caa9e/attachment.htm>