[FieldTrip] Cluster analysis on correlation statistics

[Tom Marshall]

Hi Chris,

For getting to grips with the cluster-based permutation framework, the 
best starting point is Eric Maris and Robert Oostenveld's 2007 Journal 
of Neuroscience Methods paper ('Nonparametric statistical testing of 
EEG- and MEG-data'). It's designed with cognitive neuroscientists 
(rather than statisticians) in mind so is not too daunting a read ;)

Best,
Tom

On 12/8/2014 9:55 AM, Dr C A Brown wrote:
> Hi Tom
>
> Great! That would be really helpful, thank you. I'm still learning 
> fieldtrip so it be interesting to see how it works. The 
> ft_statistics_montecarlo function implies that a custom statistic of 
> choice can be used but I haven't looked deep enough into the function 
> yet to get a could understanding of it.
>
> If anything publishable comes out of it I can acknowledge you if you wish?
>
> Best wishes
> Chris
>
> Dr Christopher Brown
> Research Associate
>
> Sent from a mobile device, please excuse my brevity.
>
> ----- Reply message -----
> From: "Marshall, T.R. (Tom)" <t.marshall at fcdonders.ru.nl>
> To: "FieldTrip discussion list" <fieldtrip at science.ru.nl>
> Subject: [FieldTrip] Cluster analysis on correlation statistics
> Date: Sat, Dec 6, 2014 15:33
>
> Hi Chris,
>
> I wrote some functions for doing this a while ago and would be happy to share them.
>
> Re: t stat vs r - as I understand it you can permute any statistic you want, it doesn't have to be a t or f. The montecarlo method for solving the multiple comparisons problem is not dependent on your choice of statistic (right guys?).
>
> Best,
> Tom
> ________________________________________
> From: fieldtrip-bounces at science.ru.nl [fieldtrip-bounces at science.ru.nl] on behalf of Dr C A Brown [cb802 at cam.ac.uk]
> Sent: 06 December 2014 12:33
> To: fieldtrip at science.ru.nl
> Subject: Re: [FieldTrip]        Cluster analysis on correlation statistics
>
> Hello again,
>
> Just to clarify my last email: I'm referring to correlation between either single trial data within subject, or averaged ERPs across subjects, with a behavioral variable. Not linear regression across conditions as is already implemented in the ft_statfun_depsamplesregrT function.
>
> Many thanks
> Chris
>
> Dr Christopher Brown
> Research Associate
>
> Sent from a mobile device, please excuse my brevity.
>
> ----- Reply message -----
> From: "Christopher Brown" <cb802 at cam.ac.uk>
> To: <fieldtrip at science.ru.nl>
> Subject: Cluster analysis on correlation statistics
> Date: Sat, Dec 6, 2014 07:49
>
>
> Dear all
>
> I would like to use the cluster analysis functions in Fieldtrip on correlation statistics. I note there has been some discussion about this on this list in the past but I haven't come across the necessary ft_statfun_corr function to allow this analysis. It would be great if somebody has this code and could share it with me; otherwise, I will embark on writing it myself and sharing my results with everyone for feedback. Being new to Fieldtrip I would greatly appreciate any collaborative help with this. May I check my understanding on something before getting started: To allow for multiple comparisons correction using monte carlo for example, as part of a cluster analysis, I presume the output of the function must be t values rather than correlation coefficients? Any other hints as to how to write this are most welcome.
>
> Kind regards
>
> Chris
>
> --
>
> Dr Christopher Brown
> Research Associate | CamPain Group | Division of Anaesthesia | School of Clinical Medicine | University of Cambridge
>
> Box 93
> Addenbrooke's Hospital
> Hills Road
> Cambridge CB2 0QQ
>
> 01223 256 995
>
>
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