Region of interest analysis using an SPM toolbox
MBMatthew Brett
Abstract
Most functional imaging studies use analyses that look for effects anywhere in the brain. The standard approach is to calculate a statistic relating the experimental effect of interest to the data for each brain voxel. This method the advantage that it can detect strong effects without apriori constraint on the area that activation will occur. Problems arise when we wish to ask the question whether a particular brain area been activated: if we know the shape and location of the expected activity, then voxel by voxel approaches have low power, because of the multiple comparisons across voxels. Whole brain analyses usually use image smoothing in order to increase signal to noise; however, the best smoothing…
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Topics & keywords
Topics
Keywords
- Voxel
- Smoothing
- Computer science
- Kernel (algebra)
- Artificial intelligence
- A priori and a posteriori
- Statistical power
- Pattern recognition (psychology)
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