Adjusting the neuroimaging statistical inferences for nonstationarity.
In neuroimaging cluster-based inference has generally been found to be more powerful than voxel-wise inference. However standard cluster-based methods assume stationarity (constant smoothness), while under nonstationarity clusters are larger in smooth regions just by chance, making false positive ri...
मुख्य लेखकों: | , , |
---|---|
स्वरूप: | Conference item |
प्रकाशित: |
2009
|