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Off-line consolidation of motor sequence learning results in greater integration within a cortico-striatal functional network., , , , , , , , , и . NeuroImage, (2014)Identification of large-scale networks in the brain using fMRI., , , , , , и . NeuroImage, 29 (4): 1231-1243 (2006)Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state., , и . NeuroImage, (2014)Selection of Spatially Independent Components to Explain Functional Connectivity In fMRI., , , , и . ISBI, стр. 852-855. IEEE, (2004)Beyond advertising: New infrastructures for publishing integrated research objects., , , , , , и . PLoS Comput. Biol., (2022)A numerical variability approach to results stability tests and its application to neuroimaging., , , , , , , и . CoRR, (2023)On the open-source landscape of PLOS Computational Biology., , , и . PLoS Comput. Biol., (2021)Accurate Anisotropic Fast Marching for Diffusion-Based Geodesic Tractography., , , , , и . Int. J. Biomed. Imaging, (2008)Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI., , , , , , , и . Medical Image Anal., 12 (4): 484-496 (2008)Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks., , и . Brain Connect., 1 (6): 496-510 (2011)