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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 >> ======================== >> > > >-------------------------------------------------------------------------- - >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 >-------------------------------------------------------------------------- -