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Longitudinal fMRI analysis: A review of methods.
MedLine Citation:
PMID:  22655113     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional changes and development in healthy and pathological brains. The main objective of this paper is to provide a brief summary of common longitudinal analysis approaches, develop an overview of fMRI by introducing how such data manifest, and explore the statistical challenges that arise at the intersection of these two techniques.
Authors:
Martha Skup
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Statistics and its interface     Volume:  3     ISSN:  1938-7997     ISO Abbreviation:  -     Publication Date:  2010  
Date Detail:
Created Date:  2012-6-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101471232     Medline TA:  Stat Interface     Country:  -    
Other Details:
Languages:  ENG     Pagination:  232-252     Citation Subset:  -    
Affiliation:
Division of Biostatistics Yale University School of Public Health Yale Station P.O. Box 206510 New Haven, CT 06520 USA martha.skup@yale.edu.
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