Document Detail

Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain.
MedLine Citation:
PMID:  15351525     Owner:  NLM     Status:  MEDLINE    
Functional magnetic resonance imaging (fMRI) data is usually analyzed using hemodynamic response data formulated with the aid of a gamma function. An fMRI response to stimuli can be mathematically modeled by convolution of the hemodynamic response and the presented stimulus. This approach is based on a linear system analysis. However, it is known that most biological systems are nonlinear and the nature of the hemodynamic response depends on both the subjects and brain regions under study. In this work, we estimated the hemodynamic responses of the fusiform face area (FFA) and the primary visual area (V1) using 1st- and 2nd-order Volterra kernels. The estimated hemodynamic responses were used to analyze fMRI data obtained from the corresponding regions. The results of the analysis of fMRI data using the estimated hemodynamic responses show a more significant activation than is obtained by conventional analysis using the hemodynamic response modeled by gamma function.
Sung-Ki Lee; Hyo Woon Yoon; Jun-Young Chung; Myung-Sung Song; HyunWook Park
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  139     ISSN:  0165-0270     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2004 Oct 
Date Detail:
Created Date:  2004-09-07     Completed Date:  2004-12-15     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  91-8     Citation Subset:  IM    
fMRI Laboratory of Brain Science Research Center, Korea Advanced Institute of Science and Technology, Daejeon 305701, South Korea.
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MeSH Terms
Brain / blood supply*,  metabolism*,  physiology
Hemodynamics / physiology*
Magnetic Resonance Imaging / methods*,  statistics & numerical data
Models, Neurological
Nonlinear Dynamics
Photic Stimulation / methods

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