Testing competing hypotheses about single trial fMRI

Lars Kai Hansen, Archana Purushotham, Seong-Ge Kim

AbstractWe 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.
KeywordsBayes,fMRI, neuroimaging
TypeBook [Chapter]
Book titleExploratory Analysis and Data Modeling in Functional Neuroimaging
EditorsFriedrich T. Sommer and Andrzej Wichert
Year2003    Vol. 3    pp. 49-62
PublisherMIT Press
ISBN / ISSNISBN 0-262-19481-3
Electronic version(s)[ps]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


Back  ::  IMM Publications