Document Detail


State-space models for optical imaging.
MedLine Citation:
PMID:  17566966     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Measurement of stimulus-induced changes in activity in the brain is critical to the advancement of neuroscience. Scientists use a range of methods, including electrode implantation, surface (scalp) electrode placement, and optical imaging of intrinsic signals, to gather data capturing underlying signals of interest in the brain. These data are usually corrupted by artifacts, complicating interpretation of the signal; in the context of optical imaging, two primary sources of corruption are the heartbeat and respiration cycles. We introduce a new linear state-space framework that uses the Kalman filter to remove these artifacts from optical imaging data. The method relies on a likelihood-based analysis under the specification of a formal statistical model, and allows for corrections to the signal based on auxiliary measurements of quantities closely related to the sources of contamination, such as physiological processes. Furthermore, the likelihood-based modeling framework allows us to perform both goodness-of-fit testing and formal hypothesis testing on parameters of interest. Working with data collected by our collaborators, we demonstrate the method of data collection in an optical imaging study of a cat's brain.
Authors:
Kary L Myers; Anthony E Brockwell; William F Eddy
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  26     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-08-20     Completed Date:  2008-01-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  3862-74     Citation Subset:  IM    
Copyright Information:
2007 John Wiley & Sons, Ltd
Affiliation:
Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. kary@lanl.gov
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MeSH Terms
Descriptor/Qualifier:
Animals
Brain / metabolism*
Brain Mapping / methods*
Cats
Data Interpretation, Statistical*
Models, Statistical*
Neurosciences
Photic Stimulation*
United States
Grant Support
ID/Acronym/Agency:
R01EB005847-01/EB/NIBIB NIH HHS; R21EB005967-01A1/EB/NIBIB NIH HHS

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


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