Dear SPM user,
I am working in the EEG field and trying to do some analyses using SPM for EEG. The analysis is done, but I would like to get back to structure that is channel x time matrix like my original dataset (in my case a matrix of 120 x 200), but now with corrected p-values.
Since the output that SPM gives is just the image of t-values plus the table of inference statistics, I wonder if anyone has created a toolbox or anything to extract corrected p-values back from the data.
Is there anyway I can get back to a sort of histogram by which the t-values are then corrected for multiple comparisons and the p-value of data points obtained. I figure SPM already does this for peak 'voxels' so it should be possible to do this for every single data point right?
I am only vaguely familiar with the entire SPM correction procedure so perhaps my thinking is faulty.
Has anyone attempted to do this? Any ideas on how to proceed?
I realise that for fMRI data the resulting image is probably a great way to present results. But for EEG one prefers to have specific p-values for each channel and time point for selection of what to present.
Thank you for any help you can give me!
Armand Mensen
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