Assumptions and validations of statistical tests for functional neuroimaging

The European Journal of Neuroscience
P E Roland, B Gulyás

Abstract

We contrast two statistical methods: three-dimensional cluster analysis and statistical parametric mapping. We show that three-dimensional cluster analysis is based on a neurobiological theory of the regulation of blood flow and, unlike statistical parametric mapping, carries a minimum of assumptions that are tested. Statistical parametric mapping is a formal approach, which is based on a multitude of assumptions of which the majority have not been validated. We also demonstrate that in practice three-dimensional cluster analysis has a reasonable balance between sensitivity and the probability of false positives, giving high reproducibility with data on e.g. colour discrimination.

References

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Citations

Apr 9, 1999·Human Brain Mapping·T LindebergP E Roland
Aug 31, 1999·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·K M PeterssonA P Holmes
Aug 31, 1999·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·K M PeterssonA P Holmes
Apr 18, 1998·Proceedings of the National Academy of Sciences of the United States of America·P E RolandR Kawashima
Jul 1, 1997·Trends in Cognitive Sciences·A Cowey, C A Heywood
Sep 28, 2007·IEEE Transactions on Medical Imaging·Hua Li, Anthony Yezzi

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