[FieldTrip] Fwd: correlating EEG Data with behavioural data

[Schoffelen, J.M. (Jan Mathijs)]

Begin forwarded message:

From: <tim.redepenning at uni-bielefeld.de>
Subject: AW: [FieldTrip] correlating EEG Data with behavioural data
Date: 31 March 2025 at 18:28:57 CEST
To: <janmathijs.schoffelen at donders.ru.nl>

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Dear Jan-Mathijs,
Thank you very much for your suggestion! I followed the advice and got results.
Now I have quite a lot of significant results. Do you also have a suggestion how to reduce that in a meaningful way?
PCA or rather average the frequency bands beforehand and calculate the correlation/regression again?
Best wishes,
Tim

Von: fieldtrip <fieldtrip-bounces at science.ru.nl<mailto:fieldtrip-bounces at science.ru.nl>> Im Auftrag von Schoffelen, J.M. (Jan Mathijs) via fieldtrip
Gesendet: Dienstag, 25. März 2025 15:31
An: FieldTrip discussion list <fieldtrip at science.ru.nl<mailto:fieldtrip at science.ru.nl>>
Cc: Schoffelen, J.M. (Jan Mathijs) <janmathijs.schoffelen at donders.ru.nl<mailto:janmathijs.schoffelen at donders.ru.nl>>
Betreff: Re: [FieldTrip] correlating EEG Data with behavioural data

Dear Tim,

Perhaps you can start here: https://www.fieldtriptoolbox.org/faq/stats/behavior_signalcorrelation/<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.fieldtriptoolbox.org%2Ffaq%2Fstats%2Fbehavior_signalcorrelation%2F&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cd578516452aa4c756b4b08dd710e988c%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638791029673663096%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=uxPdQLA623pwQLmMBHdBXal4WHcv8Ylnh%2F47fpFmDOY%3D&reserved=0>

Best wishes,
Jan-Mathijs



On 23 Mar 2025, at 17:01, Tim Redepenning via fieldtrip <fieldtrip at science.ru.nl<mailto:fieldtrip at science.ru.nl>> wrote:

Dear list,
I have a variable 'X' with 29 × 1 values that tells me how strong the desired behavioural effect is.

And I have a matrix 'ITC_values' with 29 × 62 × 12 × 200 with EEG (ITC) values.

29 participants
62 channels
12 frequencies
200 time points

Could anyone suggest me an approach to find significant correlations between my EEG data and my behavioural data?

Addition:
I had the idea to calculate Mutual information
So, I calculated the Mutual information between
X and ITC_values(: , 1 , 1 , 1)
and
X  and ITC_ values (: , 1, 1, 2)
and so on.
In other words: I calculated the relationship between the hysteresis values and each timepoint at each frequency on each channel.
So, my result is a matrix with the size of 62 × 12 × 200 that holds all Mutual Information values.
Is this a valid approach?
Cause now I want to check the significance with a cluster permutation test. But that normally works only across subjects. But the MI values are already the result of aggregating participants.


Best wishes
Tim

Tim Redepenning

PhD Student | “Motor Control and Training” – Research Group
Faculty of Psychology and Sports Science
Bielefeld University | Cognitive Interaction Technology – Center of Excellence (CITEC)
33501 Bielefeld
Germany

Room: CITEC-1.411 | Phone: +49-(0)521-106-5129
E-Mail: tim.redepenning at uni-bielefeld.de<mailto:tim.redepenning at uni-bielefeld.de>

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