[Eeglablist] std_stat vs statcondfieldtrip syntax

Taylor Hearn thearn at asu.edu
Wed Feb 13 14:50:18 PST 2019


Hi All,

Thank you for the suggestions! I just realized I misspoke in my original
posting. There are an equivalent number of subjects in each group, not a
different number of subjects. With this in mind, are either the  "std_stat"
or the "statcondfieldtrip" functions applicable now?

Thanks,
Taylor

Taylor Hearn
Biomedical Engineering PhD Candidate
APAcT-IGERT Fellow
Arizona State University


On Mon, Feb 11, 2019 at 2:17 PM Eric Fields <eric.fields at bc.edu> wrote:

> Hi Taylor and all,
>
> You can calculate a cluster-based permutation test for your design in the
> Factorial Mass Univariate Toolbox:
>
> https://github.com/ericcfields/FMUT/wiki
>
> Eric
>
> -----
> Eric Fields, Ph.D.
> Postdoctoral Fellow
> Cognitive and Affective Neuroscience Laboratory
> <https://www2.bc.edu/elizabeth-kensinger/>, Boston College
> Aging, Culture, and Cognition Laboratory
> <http://www.brandeis.edu/gutchess/>, Brandeis University
> eric.fields at bc.edu
>
>
> On Mon, Feb 11, 2019 at 3:43 PM Arnaud Delorme <arno at ucsd.edu> wrote:
>
>> Dear Taylor,
>>
>> Based on what I know Fieldtrip does not allow for n x m design
>> correction, which is why statcondfieldtrip does not support it. The only
>> way I know around this problem is to use LIMO which also uses cluster
>> correction and allows arbitrary complex design. Unfortunately, the learning
>> curve for LIMO is very steep and we want to make a couple of video
>> tutorials but we do not have them yet.
>>
>> Best wishes,
>>
>> Arno
>>
>> > On Feb 6, 2019, at 11:03 AM, Taylor Hearn <thearn at asu.edu> wrote:
>> >
>> > Hi Everyone,
>> >
>> > I'm using EEGLAB to perform a cluster-based permutation test (Maris and
>> Oostenveld) , and I was hoping to get some assistance in regards to
>> syntax/data structure.
>> >
>> > My study involves 5 groups (stimulation location) and 2 conditions
>> (pre- and post-stimulation, paired) with a different number of subjects in
>> each group. I would like to perform a multi-sensor analysis as well because
>> I do not know at which sensors the effect will be observed. This would be
>> for both time-series and time-frequency data. Given this information, what
>> would be the ideal way to structure the "data" cell array?
>> >
>> > Also, I'm a little unclear as to whether I should use the "std_stat" or
>> the "statcondfieldtrip" function. I know I do not want the "statcond"
>> function because I am looking to perform the cluster correction which is
>> only in the fieldtrip function. Additionally, if someone could clarify the
>> "fieldtripclusterparam" and "fieldtripchannelneighbor" (both in "std_stat")
>> as well as the "neighbours" ("statcondfieldtrip") inputs.
>> >
>> > Any assistance is greatly appreciated!
>> >
>> > Thank you,
>> > Taylor
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