Adjusting the neuroimaging statistical inferences for nonstationarity.

Adjusting the neuroimaging statistical inferences for nonstationarity.

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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...

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Dades bibliogràfiques
Autors principals:	Salimi-Khorshidi, G, Smith, S, Nichols, T
Format:	Conference item
Publicat:	2009

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