Testing competing hypotheses about single trial fMRI |
Lars Kai Hansen, Archana Purushotham, Seong-Ge Kim
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| Abstract | We use a Bayesian framework to compute probabilities of competing hypotheses about functional activation based on single trial fMRI measurements. Within the framework we obtain a complete probabilistic picture of competing hypotheses, hence control of both type I and type II errors. |
| Keywords | Bayes,fMRI, neuroimaging |
| Type | Book [Chapter] |
| Book title | Exploratory Analysis and Data Modeling in Functional Neuroimaging |
| Editors | Friedrich T. Sommer and Andrzej Wichert |
| Year | 2003 Vol. 3 pp. 49-62 |
| Publisher | MIT Press |
| ISBN / ISSN | ISBN 0-262-19481-3 |
| Electronic version(s) | [ps] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |