Dear Prof. Smith
Thank you. I have still have two questions.
>> I intend to do unpaired two-sample t-test with IQ scores as confound
>> regressor. I designed events and contrasts like this:
>> ------------------------------------------------
>> EVs
>> Number of main EVs 3
>> Number of addition, voxel-dependent EVs 0
>> Group EV1(group_A) EV2(group_B) EV3(demeaned_IQ)
>> 1 1 0 -9.7
>> 1 1 0 1.2
>> : : : :
>> 2 0 1 12.2
>> 2 0 1 -10.0
>>
>> Contrasts
>> Contrast 2 F-tests 0
>> for_group_A>group_B 1 -1 0
>> for_group_B>group_A -1 1 0
>>
Q1: If I add a contrast '0 0 1' to my desin.con, can I obtain the result
positively correlated with IQ scores by this contrast?
>> Must I use option in randomise? May I use --T2?
>-x gives you voxelwise inference but you probably don't want that -
>you probably just want TFCE, using the --T2 option.
Q2. When searching the archives, it was suggested that -x should be used in
TBSS randomise for two-sample t-test with confoud regressor. While --T2
option as well could be used in the current randomise version ( randomise
V2.1) even for two-sample t-test with confound regressor. Right? I am sorry
for my vague qusetion in previous email.
Thanks again.
>> Thanks a lot.
>>
>> sincerely, Yuzheng
>>
>> ========================
>> Biox-lab, Zhejiang Univ. China
>> ========================
>>
>
>
>--------------------------------------------------------------------------
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>Stephen M. Smith, Professor of Biomedical Engineering
>Associate Director, Oxford University FMRIB Centre
>
>FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
>+44 (0) 1865 222726 (fax 222717)
>[log in to unmask] http://www.fmrib.ox.ac.uk/~steve
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