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Complexity Analysis of Resting-State and Task fMRI Using Multiscale Sample Entropy.

, , and . EMBC, page 2968-2971. IEEE, (2021)

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Infraslow LFP correlates to resting-state fMRI BOLD signals., , , , and . NeuroImage, (2013)Multiscale functional networks in human resting state functional MRI., , and . ACSSC, page 415-419. IEEE, (2014)Propagating patterns of intrinsic activity along macroscale gradients coordinate functional connections across the whole brain., and . NeuroImage, (2021)Wavelet packet based clustering for the study of functional connectivity in the rat brain., and . ACSCC, page 765-769. IEEE, (2012)Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder., , and . NeuroImage, (2021)Spatiotemporal functional interactivity among large-scale brain networks., , , and . NeuroImage, (2021)Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization., , , , , , , , , and 4 other author(s). Frontiers Neuroinformatics, (2019)Complexity Analysis of Resting-State and Task fMRI Using Multiscale Sample Entropy., , and . EMBC, page 2968-2971. IEEE, (2021)Infraslow Electroencephalographic and Dynamic Resting State Network Activity., , , , , , and . Brain Connect., 7 (5): 265-280 (2017)δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains., , , , and . CoRR, (2016)