Skip navigation
Skip navigation

A Bayesian model selection approach to fMRI activation detection

Seghouane, Abd-Krim; Ong, Ju


A fundamental question in functional MRI (fMRI) data analysis is to declare pixels either activated or non-activated with respect to the experimental design. A new statistical test for detecting activated pixels in fMRI data is proposed. The test is based on comparing the dimension of the parametric models fitted to the voxels fMRI time series data with and without controlled activation-baseline pattern. The Bayesian information criterion, is used for this comparison. This test has the...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of IEEE International Conference on Image Processing 2010
DOI: 10.1109/ICIP.2010.5653354


File Description SizeFormat Image
01_Seghouane_A_Bayesian_model_selection_2010.pdf91.23 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator