Regression models for partially localized fMRI connectivity analyses
Bonnie B. Smith,
Yi Zhao,
Martin A. Lindquist
et al.
Abstract:BackgroundBrain functional connectivity analysis of resting-state functional magnetic resonance imaging (fMRI) data is typically performed in a standardized template space assuming consistency of connections across subjects. Analysis methods can come in the form of one-edge-at-a-time analyses or dimension reduction/decomposition methods. Common to these approaches is an assumption that brain regions are functionally aligned across subjects; however, it is known that this functional alignment assumption is ofte… Show more
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