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To my understanding, you do not need to model the control condition. So
Vector A and B is enough.

Jiansong


> From: "Juanjo Lull (UPV)" <[log in to unmask]>
> Reply-To: "Juanjo Lull (UPV)" <[log in to unmask]>
> Date: Mon, 7 Feb 2005 12:44:46 +0100
> To: <[log in to unmask]>
> Subject: Re: [SPM] What's differece between T-contrast and F-contrast?
> 
> Dear Li Bei,
> 
> 
> Li Bei wrote:
> 
>> Dear Juan Jose Lull Noguera :
>>     
>>    Could you help me again?
>> 
>>    My experiment is designed like this:
>>    CACBCACBCACB ,where C means control,A means
>> stimulus 1,B means stimulus 2, and where are 10 scans
>> for each character
>> 
>> (A,B,C),so there are 120 scans total .now i want to
>> get the active region of stimuli A and B.
>>    In fmri design, i specify 3 conditions ,for A,B,C.
>>    Vector for A is [10 50 90]
>>    vector for B is [30 70 110]
>>    vector for C is [0  40 80]
>>    duration:10
>>    In "result",i defined T contrast to show active
>> regions in condition 1(A),so i wrote weight vector for
>> T contrast [1 0 -1],which means A - C,then i got these
>> active regions.  ---
>> Question 1,could you please tell me whether procedures
>> above are correct???
>>  
>> 
> I think you meant C = [0 20 40 60 80 100] instead of [0 40 80]. If this
> is true then the procedures described are ok.
> 
>> Question 2,what's the meaning of F-contrast with
>> vecotor 1 0 0  ?
>>  
>> 
> Hmm. I don't see a meaning to this contrast, because you don't compare A
> to anything...
> 
>> Question 3,is there any way to get active regions of A
>> with F-contrast?
>>  
>> 
> Yes: you can apply an F [1 -1] contrast. This will give you activated
> and also deactivated regions. If you want activated regions only, then
> you should apply a t-test (F tests find differences in 'any' direction
> while t-tests distinguish between directions).
> 
>> Question 4,what's the meaning of [1 2 3] in
>> F-contrast?
>>  
>> 
> This doesn't tell me anything. I think (I am not a statistician so this
> could be incorrect, but this is what I remember) that it would find
> voxels that have a greater estimated activation (signal level) in C
> related to B and in B related to A.
> 
>> Question 5,in 'Result',there is always a predefined
>> T-contrast,that is,"effects of interest".what's the
>> vector of this T-contrast???
>> 
>>  
>> 
> It isn't a t-contrast but an f-contrast. There are some predefined
> contrasts in SPM when you estimate a model. If you hadn't defined your
> control (or baseline) task then it would find areas activated for
> stimulus A and also areas activated for stimulus B. As you have
> explicitly defined your baseline condition, I think that it doesn't give
> you important information.
> 
>>    Those question puzzled me for a long time,thank
>> you for your help!!
>> 
>> 
>>  
>> 
> Cheers
> Juan J
> 
>> Li Bei
>> 
>>    
>> 
>> 
>> --- Juan Jose Lull Noguera <[log in to unmask]>
>> 的正文:
>>  
>> 
>>> Hi Li Bei,
>>> I recommend you to read a mail from Will Penny
>>> written two days ago. The
>>> messsage name is just "[SPM]".
>>> If you have two conditions, c1 and c2 and you want
>>> to see whether c1 is greater
>>> than c2 then you should 'build' a [1 -1] t-contrast.
>>> However, if you want to
>>> see whether c2>c1 then you would build a [-1 1]
>>> t-contrast (provided c1 is the
>>> first condition in the design matrix, c2 the
>>> second).
>>> If you build an F contrast like [1 -1] it will test
>>> whether there are
>>> differences between c1 and c2, that is, c1>c2 and
>>> also c2>c1. That's why you
>>> see differences between a t and an F contrast.
>>> Cheers
>>> Juan J
>>>    
>>> 
>> 
>> 
>> =====
>> Bei Li
>> Institute of Neuroinformatics
>> Dalian University of Technology
>> 2 Ling Gong Rd, Dalian 116023, China
>> Email:[log in to unmask]
>> 
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