Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
نویسندگان
چکیده
منابع مشابه
Functional principal component analysis of fMRI data.
We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan interval and subject to observational noise, and are used accordingly to estimate an image in which smooth func...
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......................................................................................................................................... iii Acknowledgement ......................................................................................................................... iv Table of
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ژورنال
عنوان ژورنال: Journal of Cerebral Blood Flow & Metabolism
سال: 1993
ISSN: 0271-678X,1559-7016
DOI: 10.1038/jcbfm.1993.4