Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks.
IEEE Transactions on Network Science and Engineering(2020)
摘要
We consider challenges in modeling and estimating high-dimensional functional connectivity in brain networks with a large number of nodes arranged in a hierarchical and modular structure. We develop a multi-scale factor analysis (MSFA) model which partitions the massive neuroimaging time series data defined over the brain networks into a finite set of regional clusters. To achieve further dimensio...
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关键词
Principal component analysis,Functional magnetic resonance imaging,Covariance matrices,Brain modeling,Correlation,Analytical models,Data models
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