[Eeglablist] continuous covariate

[Matthew Moore]

Hi Alexandre,


You may be able to use permutation modelling. See SnPM<http://deepblue.lib.umich.edu/bitstream/handle/2027.42/35194/1058_ftp.pdf>. Perhaps you will need to do some coding, but the principle is quite simple once you have the data.


Regards, Matt


________________________________
From: eeglablist-bounces at sccn.ucsd.edu <eeglablist-bounces at sccn.ucsd.edu> on behalf of Alexandre Obert <obert.alexandre at gmail.com>
Sent: Sunday, January 24, 2016 5:09 AM
To: Stephen Politzer-Ahles
Cc: eeglablist
Subject: Re: [Eeglablist] continuous covariate

Thank you for the references!
I think that computing event-related regression coefficients (as in the Hauk's paper) seems easier but quite complicated for the beginner I am...
I don't really understand how they technically did this and how I could apply this to my data.

In fact, I conducted a study which contains several sentences split into 2 conditions. I observed a larger P600 for the condition A than for the condition B at the end of the sentences (time window set a the last word).
What I would like to test is the effect of a feature (such as the length) of the sentences for each condition separately on the amplitude of the P600.

My first idea was to compute the mean of amplitude in the 600-900 time-window for each sentence across subject and use them as dependent measure and length values as predictors.
But after reading references, it seems not statistically acceptable, right ?

Alexandre

Le 23/01/2016 00:33, Stephen Politzer-Ahles a écrit :
Yes, this can easily be done with single-trial analysis / event-related regression coefficient, or similar analyses. See, e.g., Hauk et al. 2006 in NeuroImage, and Smith & Kutas 2015 in Psychophysiology.



---
Stephen Politzer-Ahles
University of Oxford
Language and Brain Lab
Faculty of Linguistics, Phonetics & Philology
http://users.ox.ac.uk/~cpgl0080/<http://users.ox.ac.uk/%7Ecpgl0080/>

On Fri, Jan 22, 2016 at 1:19 PM, Alexandre Obert <obert.alexandre at gmail.com<mailto:obert.alexandre at gmail.com>> wrote:
Dear all,

I wonder if there is a way to assess the effect of a continuous variable from items' features on erps amplitudes  (without categorized it such as using median-split) ?
For the ones who know fMRI, I would like compute something similar to the parametric modulation...


Regards,

Alexandre Obert
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