GLMDenoising with 7 conditions and different Condition Times

[Maddi Ibarbia]

Good morning,

I want to use the function GLMdenoisedata function of your toolbox.
In my data, I have 6 runs, in which different conditions appear several times (7 in total).
One of the conditions, have a different stimuli duration.
I am not really sure how can I design the design matrix in order to take into account that
there are different stimulis (that are repeated more than once) and with different times.

Could you help me please?
Thank you in advice.

Kindest regards,


Maddi

[Kendrick Kay]

Hi - there is an entry at

  http://kendrickkay.net/GLMdenoise/

that talks about this.

See: ""The conditions in my experiment have different durations (e.g., a 2-s stimulus, a 6-s stimulus, etc.). How can I use GLMdenoise to deal with this situation?""

The short answer is that you can act as if the longer duration conditions are just sequential presentations of a shorter-duration condition.

--
Kendrick Kay, PhD
Assistant Professor
Center for Magnetic Resonance Research (2-116)
University of Minnesota, Twin Cities
   Web: http://cvnlab.net
E-mail: k...@umn.edu
  Cell: 510-206-1059
 Skype: kendrickkay

--
You received this message because you are subscribed to the Google Groups "GLMdenoise" group.
To unsubscribe from this group and stop receiving emails from it, send an email to glmdenoise+...@googlegroups.com.
To post to this group, send email to glmde...@googlegroups.com.
Visit this group at https://groups.google.com/group/glmdenoise.
For more options, visit https://groups.google.com/d/optout.

[Maddi Ibarbia]

Good afternoon,

I have been trying to set the design matrix, but in my case, the longer duration times are not dividable by the shorter duration times.
How can I solve this problem?

Thank you in advice.
Regards,

[Kendrick Kay]

You could just use the "exact time onset" input approach and place down a train of time onsets (at some granularity that you are happy with).  For example, you could just decide to place down a train of onsets at 0.1-s resolution, which should likely be more than enough precision.