ArticleNeurophotonics2023
Controlling the familywise error rate in widefield optical neuroimaging of functional connectivity in mice.
Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Psychedelic 5-HTNature neuroscience · 2025Article
- Functional connectivity changes in mouse models of maple syrup urine disease.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Intact-skull cranial windows for widefield optical imaging in juvenile mice: complications and consequences.Journal of the Optical Society of America. A, Optics, image science, and vision · 2024Article
- Spatial nonstationarity of image noise in widefield optical imaging and its effects on cluster-based inference for resting-state functional connectivity.Journal of neuroscience methods · 2024Article
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5 authors.
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Abstract
Significance: Statistical inference in functional neuroimaging is complicated by the multiple testing problem and spatial autocorrelation. Common methods in functional magnetic resonance imaging to control the familywise error rate (FWER) include random field theory (RFT) and permutation testing. The ability of these methods to control the FWER in optical neuroimaging has not been evaluated. Aim: We attempt to control the FWER in optical intrinsic signal imaging resting-state functional connectivity using both RFT and permutation inference at a nominal value of 0.05. The FWER was derived using a mass empirical analysis of real data in which the null is known to be true. Approach: Data from normal mice were repeatedly divided into two groups, and differences between functional connectivity maps were calculated with pixel-wise Results: Gaussian RFT resulted in a higher than expected FWER with either cluster-based (0.15) or pixel-based (0.62) methods. Conclusions: RFT can lead to highly inflated FWERs. Although
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