Journal article
Adjusting the effect of nonstationarity in cluster-based and TFCE inference.
- Abstract:
-
In nonstationary images, cluster inference depends on the local image smoothness, as clusters tend to be larger in smoother regions by chance alone. In order to correct the inference for such nonstationary, cluster sizes can be adjusted according to a local smoothness estimate. In this study, adjusted cluster sizes are used in a permutation-testing framework for both cluster-based and threshold-free cluster enhancement (TFCE) inference and tested on both simulated and real data. We find that ...
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- Publication status:
- Published
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- Publisher copy:
- 10.1016/j.neuroimage.2010.09.088
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Bibliographic Details
- Journal:
- NeuroImage
- Volume:
- 54
- Issue:
- 3
- Pages:
- 2006-2019
- Publication date:
- 2011-02-01
- DOI:
- EISSN:
-
1095-9572
- ISSN:
-
1053-8119
- Source identifiers:
-
116935
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:116935
- UUID:
-
uuid:3fd5beaf-1527-4855-b079-3e02b7c5094e
- Local pid:
- pubs:116935
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 2011
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