[Eeglablist] Neighborhood Distance for Mass Univariate

Eric Fields eric.fields at bc.edu
Thu Apr 25 09:21:30 PDT 2019


Hi Amie,

I don't think there is a "correct" answer to this. The permutation approach
will ensure that the Type I error rate is controlled at alpha for any
neighborhood distance you use, so the just want to choose a value that
maximizes power and/or gives cluster that are make sense. But which value
maximizes power may depend on the characteristics of the effects you are
analyzing. I would just choose a value that makes intuitive sense in terms
of which electrodes it makes neighbors.

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 Thu, Apr 25, 2019 at 11:06 AM Amie Jeannette Durston <
ajdurston at edu.uwaterloo.ca> wrote:

> Hi Everyone,
>
> Just wondering what neighbourhood distance all of you are using with mass
> univariate analysis?
> We are using a 64 channel biosemi extended (additional PO9 and PO10
> electrodes on the cap + 6 facial electrodes for a total 72 electrode
> montage).
> We are looking around 0.4 (0.3759 to be exact), but we aren't sure this is
> right.
> Has anyone found the "perfect" number for a similar system or if there is
> an easy way to calculate it?
>
> Thanks,
> Amie
>
>
> Amie J. Durston
>
> B.Sc Honours Psychology Candidate
> Co-op Research Intern
> Face Processing & Social Cognition Lab
> University of Waterloo
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