Thanks for your answers. For example, I have design with 2 conditions:
picture of scene and name of the scene. Suppose I want to remove
volumes 2 and 5. So, based on what you suggest my design will look
like:
id reg_cond1 reg_cond2 dummy_reg1 dummy_reg2
1 1 0 0 0
2 0 1 1 0
3 0 1 0 0
4 1 0 0 0
5 1 0 0 1
6 0 1 0 0
In trials to remove I have "1" in both reg_cond and dummy_reg. As far
as I understand, the reason that this event is removed is because in
dummy_reg there is only one event with "1", which makes it's weight in
GLM modeling much stronger than reg_cond for events, which I remove.
This is the reason I need separate regreessors for each event to
remove. Correct?
Thanks again.
On 8/30/08, MCLAREN, Donald <[log in to unmask]> wrote:
> Another alternative is to added N regressors for each bad trial. Where
> N is the expected length of the response. This essentially removes the
> effect of the frames from bad trials.
> Each regressor added should have a 1 for a bad frame. So that n-1
> frames will have a value of zeros and the bad frame will have a value
> of 1.
>
> On Fri, Aug 29, 2008 at 3:17 PM, <John> <Gelburg>
> <[log in to unmask]> wrote:
>> Hi,
>>
>> I am creating my ER design with optseq. Suppose some volumes I don't want
>> to
>> include in my analysis (for example, incorrect subject' behavioral
>> response). Is it possible just to remove the volume and numbers of
>> consecutive events will be shifted? I would assume this to be problematic
>> from ER deconvolution point of view. Then, is it's possible, what is the
>> correct way to do this.
>>
>> Thanks!
>>
>
>
>
> --
> Best Regards, Donald McLaren
> =====================
> D.G. McLaren
> University of Wisconsin - Madison
> Neuroscience Training Program
> Tel: (773) 406 2464
> =====================
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