Unfortunately I'm doing (multiple) single brain analyses so that doesn't work.
For between condition comparisons I have a few ideas about how to do it by resampling
(randomly assigning condition labels to each event) to try out. They just require lots of
time (person and CPU) so I was hoping someone might point me to a quick and simple pre-
existing solution.
I'm not so sure how to do comparisons between regions (short of collecting a second run
of data and using the first run to define ROIs and the second for the statistical
comparisons). Anyone know if you can use Jackknife resampling to get SEs on curve fits
(or in this case PE1/PE2 parameters)?
I'll post again at a later date if I don't manage to work this all out.
Many thanks
simon
On Sat, 23 Jan 2010 15:02:32 -0700, Stephen Smith <[log in to unmask]> wrote:
>Hi - Depending on what HRF basis functions you used you would probably
>want different measures of delay. In your case the pe2/pe1 measure is
>quantitative so you could test that statistic for different delays in
>different subjects?
>
>Cheers.
>
>
>On 22 Jan 2010, at 08:13, Simon Rushton wrote:
>
>> Using the temporal derivative I can estimate the timing of
>> haemodynamic response
>> (pe2/pe1).
>>
>> It seems that I have some interesting timing differences in my
>> data. Looking at the peri-
>> stimulus plots and doing a few curve fits, I'm convinced the
>> differences are real. However,
>> to convince anyone else I obviously need to do some stats -
>>
>> Are there any simple ways of determining whether a difference in
>> timing is statistically
>> significant?
>>
>> simon
>>
>
>
>---------------------------------------------------------------------------
>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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