Estimating effective connectivity from fMRI data using factor-based subspace autoregressive models
We consider the problem of identifying large-scale effective connectivity of brain networks from fMRI data. Standard vector autoregressive (VAR) models fail to estimate reliably networks with large number of nodes. We propose a new method based on factor modeling for reliable and efficient high-dime...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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