Subspace-based Identification Algorithm for characterizing causal networks in resting brain
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TL;DR: A novel state-space system identification approach for studying causal interactions among brain regions in the absence of explicit cognitive task is introduced, and the Subspace-based Identification Algorithm (SIA) is sufficiently robust against above-mentioned factors, and can reliably uncover the underlying causal interactions of resting-state fMRI.
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About: This article is published in NeuroImage. The article was published on 02 Apr 2012. and is currently open access. The article focuses on the topics: Resting state fMRI & Causal inference.
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Citations
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