[Eeglablist] Request for advice on correlating EEG data with a continuous behavioral variable

[Tarik S Bel-Bahar]

Hello Tom, you can assign values to each trial [so not necessarily
continuous] and then sort the trials by that with the ERSP function.
For regression on a continuous variable you may want also want to
check out LIMO EEG, which I believe has functions for that.

See some articles below might be of use to you.
Also try googling "eeglablist continuous variable"

Modeling nonlinear relationships in ERP data using mixed‐effects
regression with R examples

A Tremblay, AJ Newman - Psychophysiology, 2015 - Wiley Online Library

Grand average ERP-image plotting and statistics: A method for
comparing variability in event-related single-trial EEG activities
across subjects and conditions

A Delorme, M Miyakoshi, TP Jung, S Makeig - … of neuroscience methods,
2015 - Elsevier

A regression method for estimating performance in a rapid serial
visual presentation target detection task

BT Files, AR Marathe - Journal of neuroscience methods, 2016 - Elsevier

Electrophysiological signatures of the race model in human primary motor cortex

ME Hughes, WR Fulham, PT Michie - Psychophysiology, 2016 - Wiley Online Library

On Wed, Apr 19, 2017 at 4:03 PM, Thomas Radman <radman.thomas at gmail.com> wrote:
> Hello,
>
>
>
> I have a continuous variable, 1 per subject, that I would like to
> explain/predict using event-related EEG.  I have used newtimef to provide
> each subject's time/frequency ERSP and ITC, which I can then use to do many
> univariate regressions of each time-frequency window vs. the continuous
> variable.  This requires a lot of custom coding - is there anything in the
> study functions that would allow me to do this in a more automated manner?
>
>
> Thank you for the help,
>
> Tom Radman
>
>
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