학술논문
Modeling and inference of multisubject fMRI data
Document Type
Periodical
Author
Source
IEEE Engineering in Medicine and Biology Magazine IEEE Eng. Med. Biol. Mag. Engineering in Medicine and Biology Magazine, IEEE. 25(2):42-51 Apr, 2006
Subject
Language
ISSN
0739-5175
1937-4186
1937-4186
Abstract
This article reviews four commonly used approaches to group modeling in fMRI. The methods differ in their computational intensity (FSL with its two-level estimation including MCM being the most intense) and assumptions (SPM2 with its assumption of spatially homogeneous covariance V/sub g/ being most restrictive). This study also distinguishes fixed-effects models from mixed-effects models and motivates the importance of a mixed-effects model for group fMRI analysis. The sections following that describe single-subject modeling and show a general method for estimating the group model.