Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method

Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method

A recent paper by Eklund et al. (2012) showed that up to 70 percent false positive results may occur when analyzing functional magnetic resonance imaging (fMRI) data using statistical parametric mapping (SPM), which may mainly be caused by insufficient compensation for the temporal correlation betwe...

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Bibliographic Details
Main Authors:	Daniela eAdolf, Snezhana eWeston, Sebastian eBaecke, Michael eLuchtmann, Johannes eBernarding, Siegfried eKropf
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2014-08-01
Series:	Frontiers in Neuroinformatics
Subjects:	functional MRI autocorrelation Familywise error rate SPM analysis blockwise permutation including a random shift
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00072/full

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