Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks

By Fikret Isik Karahanoglu, D. Van de Ville. Nature Communications, 2015

341 citations recorded by the source corpus.

Dynamics of resting-state functional magnetic resonance imaging (fMRI) provide a new window onto the organizational principles of brain function. Using state-of-the-art signal processing techniques, we extract innovation-driven co-activation patterns (iCAPs) from resting-state fMRI. The iCAPs’ maps are spatially overlapping and their sustained-activity signals temporally overlapping. Decomposing resting-state fMRI using iCAPs reveals the rich spatiotemporal structure of functional components that dynamically assemble known resting-state networks. The temporal overlap between iCAPs is substantial; typically, three to four iCAPs occur simultaneously in combinations that are consistent with their behaviour profiles. In contrast to conventional connectivity analysis, which suggests a negative correlation between fluctuations in the default-mode network (DMN) and task-positive networks, we instead find evidence for two DMN-related iCAPs consisting the posterior cingulate cortex that differentially interact with the attention network. These findings demonstrate how the fMRI resting state can be functionally decomposed into spatially and temporally overlapping building blocks using iCAPs. Growing evidence from neuroimaging studies suggests that the brain is dynamically organized into functionally connected networks. Here, the authors develop a new technique for decomposing spontaneous activity into temporally overlapping building blocks that assemble standard functional networks.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c2d2766f4192419d7d6045695df5d7620fc69a24

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Electroencephalographic Resting-State Networks: Source Localization of Microstates (2017, positive): “This assumption is challenged by recent time-resolved fMRI studies that showed that RSNs vary over time (Hutchison et al., 2013; Zalesky et al., 2014) and they strongly overlap in space and time (Karahanog˘lu and Van De Ville, 2015; Smith et al., 2012), suggesting dynamic interactions between RSNs.”
Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020, positive): “In this vein, studies have successfully modeled BOLD TVFC as being driven by transient periods of coordinated high-amplitude coactivations (Karahanoglu & Van De Ville, 2015; Tagliazucchi, Siniatchkin, Laufs, & Chialvo, 2016).”