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Commentary: Cluster Failure: Why fMRI Inferences for Spatial Extent Have Inflated False-Positive Rates


Commentary: Cluster Failure: Why fMRI Inferences for Spatial Extent Have Inflated False-Positive Rates

Karsten Mueller et al. Front Hum Neurosci.


No abstract available

Keywords: fMRI; false positive error; false positive results; family-wise error rate; functional magnetic resonance imaging; random field theory.


Figure 1
Figure 1
Impact of using different image resolutions onto family-wise error (FWE) corrected p-values with the analysis of resting-state fMRI data using a fake on-off block design. The statistical model included an experimental condition with 18 blocks with a block length of 20 s using an onset every 40 s. The same statistical analysis was performed with different image resolutions obtained within the normalization step in SPM12 followed by a subsequent spatial smoothing of 8-mm full width at half maximum. (A) Orthogonal brain sections of an individual subject showing a cluster of brain activity that becomes significant when using image upscaling. (B) Systematic decrease of FWE corrected p-values with increasing image resolution for each participant. The plot shows p-values for a randomly selected cluster with p < 0.1 for each participant. On average, p-values became smaller than the half size of the original value (see line plotted in red color). (C) Systematic decrease of the estimated smoothness when using image upscaling.

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    1. Eklund A., Nichols T. E., Knutsson H. (2016). Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates. Proc. Natl. Acad. Sci. U.S.A. 113, 7900–7905. 10.1073/pnas.1602413113 - DOI - PMC - PubMed
    1. Flandin G., Friston K. J. (2016). Analysis of family-wise error rates in statistical parametric mapping using random field theory. arXiv 1606.08199v1. - PMC - PubMed
    1. Hopfinger J. B., Büchel C., Holmes A. P., Friston K. J. (2000). A study of analysis parameters that influence the sensitivity of event-related fMRI analyses. Neuroimage 11, 326–333. 10.1006/nimg.2000.0549 - DOI - PubMed
    1. Mueller K., Arelin K., Möller H. E., Sacher J., Kratzsch J., Luck T., et al. . (2016). Serum BDNF correlates withconnectivity in the (pre)motor hub in the aging human brain—a resting-state fMRI pilot study. Neurobiol. Aging 38, 181–187. 10.1016/j.neurobiolaging.2015.11.003 - DOI - PubMed

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