Paper Info
Title
Unified ICA-SPM Analysis of fMRI Experiments - Implementation of an ICA Graphical user Interface for the SPM Pipeline
Abstract
We present a toolbox for exploratory analysis of functional magnetic resonance imaging (fMRI) data using independent component analysis (ICA) within the widely used SPM analysis pipeline. The toolbox enables dimensional reduction using principal component analysis, ICA using several different ICA algorithms, selection of the number of components using the Bayesian information criterion (BIC), visualization of ICA components, and extraction of components for subsequent analysis using the standard general linear model. We demonstrate how the toolbox is capable of identifying activity and nuisance effects in fMRI data from a visual experiment.
Year
Venue
Keywords
2009
BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING
Bayesian Information Criterion (BIC),Functional Magnetic Resonance Imaging (fMRI),General linear model (GLM),ica4spm,Independent Component Analysis (ICA),Statistical Parameter Mapping (SPM)
Field
DocType
Citations 
Bayesian information criterion,Pattern recognition,Computer science,Visualization,Toolbox,Graphical user interface,Independent component analysis,Artificial intelligence,Graphical user interface testing,Dimensional reduction,Principal component analysis
Conference
1
PageRank 
References 
Authors
0.42
2
6
Name
Order
Citations
PageRank
Troels Bjerre Sørensen118118.08
Jonas Henriksen210.42
Carsten Haagen Nielsen310.42
Peter Mondrup Rasmussen4473.79
Lars Kai Hansen52776341.03
Kristoffer Hougaard Madsen614518.74