Estimation of high-dimensional brain connectivity from FMRI data using factor modeling
We consider identifying effective connectivity of brain networks from fMRI time series. The standard vector autoregressive (VAR) models fail to give reliable network estimates, typically involving very large number of nodes. This paper adopts a dimensionality reduction approach based on factor model...
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| Format: | Article |
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IEEE Xplore Digital Library
2014
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