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FMRI activation detection using a variant of Akaike information criterion

Seghouane, Abd-Krim

Description

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. A corrected variant of the Akaike information criterion, is used for this comparison. This...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/68864
Source: IEEE Statistical Signal Processing Workshop, SSP 2012
DOI: 10.1109/SSP.2012.6319669

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