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| Research article summary (published 30 Mar 2003): |
Independent component model for cognitive functions of multiple subjects using [15O]H2O PET images.
Full Abstract
An independent component model of multiple subjects' positron emission tomography (PET) images is proposed to explore the overall functional components involved in a task and to explain subject specific variations of metabolic activities under altered experimental conditions utilizing the Independent component analysis (ICA) concept. As PET images represent time-compressed activities of several cognitive components, we derived a mathematical model to decompose functional components from cross-sectional images based on two fundamental hypotheses:
(1) all subjects share basic functional components that are common to subjects and spatially independent of each other in relation to the given experimental task, and (2) all subjects share common functional components throughout tasks which are also spatially independent. The variations of hemodynamic activities according to subjects or tasks can be explained by the variations in the usage weight of the functional components. We investigated the plausibility of the model using serial cognitive experiments of simple object perception, object recognition, two-back working memory, and divided attention of a syntactic process. We found that the independent component model satisfactorily explained the functional components involved in the task and discuss here the application of ICA in multiple subjects' PET images to explore the functional association of brain activations.Copyright 2003 Wiley-Liss, Inc.
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Author information
Author/s: Park, Hae-Jeong (HJ); Kim, Jae-Jin (JJ); Youn, Tak (T); Lee, Dong Soo (DS); Lee, Myung Chul (MC); Kwon, Jun Soo (JS);
Affiliation: Brain-Korea21, Human Life Sciences and Clinical Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Human brain mapping (Hum Brain Mapp), published in United States. (Language: eng)
Reference: 2003-Apr; vol 18 (issue 4) : pp 284-95
Dates: Created 2003/03/12; Completed 2003/05/30; Revised 2006/11/15;
PMID: 12632466, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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