Comparison of multi-subject ICA methods for analysis of fMRI data
نویسندگان
چکیده
منابع مشابه
Comparison of multi-subject ICA methods for analysis of fMRI data.
Spatial independent component analysis (ICA) applied to functional magnetic resonance imaging (fMRI) data identifies functionally connected networks by estimating spatially independent patterns from their linearly mixed fMRI signals. Several multi-subject ICA approaches estimating subject-specific time courses (TCs) and spatial maps (SMs) have been developed, however, there has not yet been a f...
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ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2010
ISSN: 1065-9471
DOI: 10.1002/hbm.21170