Since I'm usually running very straight forward spm analysis this seems quite
overwhelming to me.
What would be the proper methodoly for me to use to analyze the resting state
data set I have? Is it under basic models > simple regression(Correlation)>
where I would run one ROI time series per analysis . It seems the data in the
Fox paper (in the figures) show each ROI as a seperate activation map.
>each 110 volumes TR3sec
i eyes closed
ii crosshairs fixation
iii no crosshairs
Comments are most appreciated
Maria
>Dear Alle,
>
>>Dear Maria,
>>Maria Densmore wrote:
>>
>>
>>>Hello ,
>>>Thanks for your feedback.
>>>I still need clarification of my two concerns.
>>>1) I don't quite understand how to set my design matrix since there is no
>>> baseline condition to subtract the task from. What I do have is, one task
>>> (eyes closed)that continues throughout the entire 110 volumes acquired.
>>>
>>>
>>The design matrix consisted, as far as the paper describes it, of the 3
>>regional mean time series (made by the 12mm spheres round the peaks of
>>activity). The degree of freedom was computed as n-3 so I guess there
>>was no intercept (ie the data should already have zero mean).
>>
>>
>Well, if I'm right (IF) the correlation analysis was performed on
>residuals .. and thus assuming mean 0
>
>>As said this is quite a dodgy way of estimating functional connectivity
>>
>>
>... agree
>
>Best
>Cyril
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