Supplementary Material to: Tracking Whole-Brain Connectivity Dynamics in the Resting State.

By Elena A. Allen, Eswar Damaraju, Sergey M. Plis, Erik B. Erhardt, Tom Eichele, Vince D. Calhoun. 2013

2,303 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/54c5aa9b2b9862f6053f7187c55910087fcc330b

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Citations in the corpus

Functional connectivity dynamics: Modeling the switching behavior of the resting state (2015, methodology): “…brain dynamical models should be ﬁ ne tuned to best ﬁ t an entire target set of typical FC states, as well as the associated state-to-state transition probabilities (Allen et al., 2012), re ﬂ ected in characteristic ensembles of FCD matrices, which could be sampled over empirical BOLD recordings.”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “Mounting evidence suggests that the functional connectome exhibits temporal instability that allows it to flexibly switch between multiple different configurations within a scanning session (Allen et al., 2014; Chang and Glover, 2010; Kang et al., 2011; Shen et al., 2015).”
Fast transient networks in spontaneous human brain activity (2014, background): “…there exist distinct functional connectivity states that recur at different points in time is compatible with computational models of neuronal connectivity (Deco et al., 2011) and observations from both fMRI (Allen et al., 2012) and EEG (Britz et al., 2010; Musso et al., 2010; Yuan et al., 2012).”
CLASSIFICATION OF SCHIZOPHRENIA AND BIPOLAR PATIENTS USING STATIC AND DYNAMIC RESTING-STATE FMRI BRAIN CONNECTIVITY (2016, methodology): “Estimate dynamic FNC matrices for all the subjects using a windowed FNC approach (Allen et al., 2012; Calhoun et al., 2014; Rashid et al., 2014).”
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, background): “We point out, however, that these types of networks features are limited in their ability to establish genuine links between structure and function.”
Dynamic functional connectivity of the default mode network tracks daydreaming (2014, background): “…demonstrated that FC fluctuates across shorter time-windows (e.g. 30–60 s) during rs-fMRI, with regions that are correlated with one another during some periods being uncorrelated and/or anticorrelated during other periods (Allen et al., 2014; Chang and Glover, 2010; Handwerker et al., 2012).”
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms (2017, methodology): “…by MEG studies (de Pasquale et al., 2010, Brookes et al., 2011b, Hipp et al., 2012, Hipp and Siegel, 2015) and by investigations on the temporal dynamics of FC (Chang and Glover, 2010, Handwerker et al., 2012, Smith et al., 2012, Hutchison et al., 2013a, Allen et al., 2014, Zalesky et al., 2014).”