For the simple effects (e.g. [0 0 0 1 -1 1 0 0 -1 0 0]), you want to
use an an exclusive mask of the interaction as you generally cannot
interpret the simple effects in the presence of an interaction.

I'd create a mask from the significant effects of the interaction,
then apply the mask as an exclusive mask. If you need an inclusive
mask, then create an image of all 1s, then subtract the interaction
mask.

Best Regards, Donald McLaren
=================
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
Office: (773) 406-2464
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On Wed, Jan 9, 2013 at 10:39 PM, Jun Wang <[log in to unmask]> wrote:
> thanks, Donald. This is really helpful. Just one last question, I searched
> across the list and saw some of your posts stating for  simple effect tests
> [0 0 0 1 -1 1 0 0 -1 0 0], we use mask with interaction contrast or use
> significant cluster image from interaction[0 0 0 0 0 1 -1 0 -1 1 0](Maybe I
> am wrong about that). Right?
>
> thanks again for your help
> Jun
>
>
> On Wed, Jan 9, 2013 at 9:25 PM, MCLAREN, Donald <[log in to unmask]>
> wrote:
>>
>> For the 3x2 ANOVA, the F-contrast should be: [0 0 0 0 0 1 -1 0 -1 1 0;
>> 0 0 0 0 0 0 1 -1 0 -1 1].
>>
>> The post-hoc tests:
>> [0 0 0 0 0 1 -1 0 -1 1 0]
>> [0 0 0 0 0 0 1 -1 0 -1 1]
>> [0 0 0 0 0 1 0 -1 -1 0 1]
>>
>> For task differences at a specific time window, I'd really recommend
>> GLM Flex (partition the variance by each within-subject factor), but
>> in the case of SPMs GLM:
>> [0 0 0 1 -1 1 0 0 -1 0 0]
>>
>> I've written several post on creating contrasts and would suggest that
>> you search the list archives. Use the term S1G1C1.
>>
>> ** This assumes that the first 3 columns are time windows, the next 2
>> are task, the next three of time windows of task 1 and the last 3 are
>> time windows for task 2.
>> ** You should be using the flexible factorial
>> ** You should also have a subject factor in the model, if its not already
>> there.
>>
>> For viewing purposes, you might also want to create the negative of
>> the above contrasts, although peak_nii and OrthoView can both pull out
>> both positive and negative values.
>>
>> Best Regards, Donald McLaren
>> =================
>> D.G. McLaren, Ph.D.
>> Research Fellow, Department of Neurology, Massachusetts General Hospital
>> and
>> Harvard Medical School
>> Postdoctoral Research Fellow, GRECC, Bedford VA
>> Website: http://www.martinos.org/~mclaren
>> Office: (773) 406-2464
>> =====================
>> This e-mail contains CONFIDENTIAL INFORMATION which may contain PROTECTED
>> HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is
>> intended only for the use of the individual or entity named above. If the
>> reader of the e-mail is not the intended recipient or the employee or
>> agent
>> responsible for delivering it to the intended recipient, you are hereby
>> notified that you are in possession of confidential and privileged
>> information. Any unauthorized use, disclosure, copying or the taking of
>> any
>> action in reliance on the contents of this information is strictly
>> prohibited and may be unlawful. If you have received this e-mail
>> unintentionally, please immediately notify the sender via telephone at
>> (773)
>> 406-2464 or email.
>>
>>
>> On Wed, Jan 9, 2013 at 10:11 PM, Jun Wang <[log in to unmask]> wrote:
>> > sorry, could you make it more clear. I am pretty new for this contrast
>> > stuff. In this 2X3 repeated design, the F contrast should be set as [0 0
>> > 0 0
>> > 0 1 0 -1 -1 0 1] or something else. and what the contrast set if I want
>> > to
>> > know the simple effect about task difference on different time window.
>> >
>> > thanks
>> > Jun
>> >
>> >
>> > On Wed, Jan 9, 2013 at 9:05 PM, MCLAREN, Donald
>> > <[log in to unmask]>
>> > wrote:
>> >>
>> >> You'd still need the F-contrast even in that case. Post-hoc tests
>> >> would be the same as I stated.
>> >> There are some things in the Glascher document that should be updated.
>> >> It's been on my list for quite some time, but never at the top of the
>> >> list.
>> >>
>> >> Best Regards, Donald McLaren
>> >> =================
>> >> D.G. McLaren, Ph.D.
>> >> Research Fellow, Department of Neurology, Massachusetts General
>> >> Hospital
>> >> and
>> >> Harvard Medical School
>> >> Postdoctoral Research Fellow, GRECC, Bedford VA
>> >> Website: http://www.martinos.org/~mclaren
>> >> Office: (773) 406-2464
>> >> =====================
>> >> This e-mail contains CONFIDENTIAL INFORMATION which may contain
>> >> PROTECTED
>> >> HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is
>> >> intended only for the use of the individual or entity named above. If
>> >> the
>> >> reader of the e-mail is not the intended recipient or the employee or
>> >> agent
>> >> responsible for delivering it to the intended recipient, you are hereby
>> >> notified that you are in possession of confidential and privileged
>> >> information. Any unauthorized use, disclosure, copying or the taking of
>> >> any
>> >> action in reliance on the contents of this information is strictly
>> >> prohibited and may be unlawful. If you have received this e-mail
>> >> unintentionally, please immediately notify the sender via telephone at
>> >> (773)
>> >> 406-2464 or email.
>> >>
>> >>
>> >> On Wed, Jan 9, 2013 at 9:46 PM, Jun Wang <[log in to unmask]> wrote:
>> >> > Thanks,Donald. If my two factors are all within subject factor(3 time
>> >> > window
>> >> > and 2 task condition), then I can  use the contrast [0 0 0 0 0 1 0 -1
>> >> > -1
>> >> > 0
>> >> > 1]. right ( I just followed the example from Glascher's paper). in
>> >> > this
>> >> > case, how should I set the contrast for posthoc t test right.
>> >> > basically,
>> >> > I
>> >> > want to know the task difference on different time window
>> >> >
>> >> > thanks
>> >> > Jun
>> >> >
>> >> >
>> >> > On Wed, Jan 9, 2013 at 8:14 PM, MCLAREN, Donald
>> >> > <[log in to unmask]>
>> >> > wrote:
>> >> >>
>> >> >> On Wed, Jan 9, 2013 at 9:08 PM, Jun Wang <[log in to unmask]> wrote:
>> >> >> > Dear spm experts,
>> >> >> >   I have a question regarding to post hoc t test in spm. I have a
>> >> >> > 2X3
>> >> >> > (group
>> >> >> > by task ) repeated design and got significant interaction when I
>> >> >> > used
>> >> >> > contrast [0 0 0 0 0 1 0 -1 -1 0 1].
>> >> >>
>> >> >> >>>> The correct interaction contrast is an F-test. [0 0 0 0 0 1 -1
>> >> >> >>>> 0
>> >> >> >>>> -1 0
>> >> >> >>>> 0; 0 0 0 0 0 0 1 -1 0 -1 1]. This will tell you if there is an
>> >> >> >>>> interaction
>> >> >> >>>> between the task effects and group. From this, you could test
>> >> >> >>>> for
>> >> >> >>>> pairwise
>> >> >> >>>> task difference interacting with your groups. With the post-hoc
>> >> >> >>>> t-test of [0
>> >> >> >>>> 0 0 0 0 1 0 -1 -1 0 1], you know the direction of the effect
>> >> >> >>>> and
>> >> >> >>>> don't need
>> >> >> >>>> any further tests.
>> >> >>
>> >> >>
>> >> >> Then I want to do post hoc t test to
>> >> >> > tell the direction of interaction( e.g. group difference on
>> >> >> > task1).
>> >> >> > Should I
>> >> >> > extract ROI activity from significant cluster found in the
>> >> >> > interaction
>> >> >> > effect and do the simple t test outside spm or should I set
>> >> >> > different
>> >> >> > contrast in same SPM design. if it is the latter case, how should
>> >> >> > I
>> >> >> > set
>> >> >> > the
>> >> >> > contrast.
>> >> >>
>> >> >> >>>> Testing the group effect of a single task in a
>> >> >> >>>> repeated-measures
>> >> >> >>>> design is not valid with the standard GLM. You'll need a
>> >> >> >>>> 2-sample
>> >> >> >>>> t-test. If
>> >> >> >>>> you use GLM Flex, then you can test the group effect of
>> >> >> >>>> individual
>> >> >> >>>> tasks.
>> >> >>
>> >> >> >
>> >> >> > thanks for your input
>> >> >> >
>> >> >> > Jun
>> >> >
>> >> >
>> >
>> >
>
>