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...
| 主要な著者: | , , |
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| フォーマット: | Conference item |
| 出版事項: |
2009
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