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An overview and some new developments in the statistical analysis of PET and fMRI data
Author(s) -
Worsley Keith J.
Publication year - 1997
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/(sici)1097-0193(1997)5:4<254::aid-hbm9>3.0.co;2-2
Subject(s) - psychology , neuroscience , artificial intelligence , computer science
The first part of this paper gives an overview of a simplified approach to the statistical analysis of PET and fMRI data, including new developments and future directions. The second part outlines a new method, based on multivariate linear models (MLM), for characterising the response in PET and fMRI data, which overcomes some of the drawbacks of current methods such as SSM, SVD, PLS and CVA. Hum. Brain Mapping 5:254–258, 1997. © 1997 Wiley‐Liss, Inc.

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