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• W1022972016 abstract "Similar to functional MRI (fMRI), resting-state functional connectivity MRI (rsfcMRI) can be used to measure inter-regional similarities in BOLD fluctuations across the resting brain to yield important information about the connectivity of a functional network, e.g., the motor system. Effective connectivity analysis can be used to evaluate the causal relationships of these networks. In this study, we evaluate the consistency of structural equation modeling (SEM) of resting state motor network involving five regions: the primary motor cortices (LM1, RM1), the supplementary motor area (SMA), and the pre-motor areas (LPMA, RPMA). Overall, our results show that some directional connections within the cortical motor network are consistent, but are not reproducible across the entire study population, and depend on the chosen causal model." @default.
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• W1022972016 date "2010-01-01" @default.
• W1022972016 modified "2023-09-26" @default.
• W1022972016 title "Reliability of Structural Equation Modeling of the Motor Cortex in Resting State Functional MRI" @default.
• W1022972016 doi "https://doi.org/10.1007/978-3-642-14998-6_123" @default.
• W1022972016 hasPublicationYear "2010" @default.
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