Thank you for your detailed responses and references.
Regarding Dr. Peelle's comment:
3) For many studies we need not obsess over whole-brain results and
whole-brain corrections for multiple comparisons. Spatially
restricting hypotheses (in a manner independent of the data being
tested) is an excellent way to increase sensitivity to specific
effects. This could include ROI analyses or using an explicit mask to
focus on a subsection of the brain.
Two questions:
1) If I were to use an explicit mask of WM (e.g., average of all subjects WM sementations) when performing tensor-based morphometry, would I still need to be concerned about correcting for multiple comparisons?
2) When should the explicit mask be used, i.e., within the second-level stats model or during specification of results output?
Thank you,
-Julie
Julie E. McEntee, M.A., C.C.R.P.
Image Processing Technologist
Center for Neuroscience & Regenerative Medicine, NIH/USUHS
The Henry M. Jackson Foundation for the Advancement of Military Medicine
NIH Clinical Center
B1N264B
301-451-1869
[log in to unmask]
Department of Psychiatry- Neuroimaging
Johns Hopkins University School of Medicine
600 N. Wolfe St./ Phipps 300
Baltimore, MD 21287
[log in to unmask]
|