Document Detail


Detection versus estimation in event-related fMRI: choosing the optimal stimulus timing.
MedLine Citation:
PMID:  11771993     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
With the advent of event-related paradigms in functional MRI, there has been interest in finding the optimal stimulus timing, especially when the interstimulus interval is varied during the imaging run. Previous works have proposed stimulus timings to optimize either the estimation of the impulse response function (IRF) or the detection of signal changes. The purpose of this paper is to clarify that estimation and detection are fundamentally different goals and to determine the optimal stimulus timing and distribution with respect to both the accuracy of estimating the IRF and the power of detection assuming a particular hemodynamic model. Simulated stimulus distributions are varied systematically, from traditional blocked designs to rapidly varying event related designs. These simulations indicate that estimation of the hemodynamic impulse response function is optimized when stimuli are frequently alternated between task and control states, with shorter interstimulus intervals and stimulus durations, whereas the detection of activated areas is optimized by blocked designs. The stimulus timing for a given experiment should therefore be generated with the required detectability and estimation accuracy.
Authors:
Rasmus M Birn; Robert W Cox; Peter A Bandettini
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  NeuroImage     Volume:  15     ISSN:  1053-8119     ISO Abbreviation:  Neuroimage     Publication Date:  2002 Jan 
Date Detail:
Created Date:  2002-01-04     Completed Date:  2002-03-20     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  252-64     Citation Subset:  IM    
Affiliation:
3T Functional Neuroimaging Core, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
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MeSH Terms
Descriptor/Qualifier:
Cerebral Cortex / physiology
Computer Simulation
Electroencephalography*
Evoked Potentials / physiology
Humans
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging*
Mathematical Computing
Reaction Time / physiology
Signal Processing, Computer-Assisted

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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