| Literature DB >> 31504262 |
Ryan V Raut1, Anish Mitra1, Scott Marek2, Mario Ortega3, Abraham Z Snyder1,3, Aaron Tanenbaum3, Timothy O Laumann2, Nico U F Dosenbach1,3,4,5,6, Marcus E Raichle1,3.
Abstract
Spontaneous infra-slow (<0.1 Hz) fluctuations in functional magnetic resonance imaging (fMRI) signals are temporally correlated within large-scale functional brain networks, motivating their use for mapping systems-level brain organization. However, recent electrophysiological and hemodynamic evidence suggest state-dependent propagation of infra-slow fluctuations, implying a functional role for ongoing infra-slow activity. Crucially, the study of infra-slow temporal lag structure has thus far been limited to large groups, as analyzing propagation delays requires extensive data averaging to overcome sampling variability. Here, we use resting-state fMRI data from 11 extensively-sampled individuals to characterize lag structure at the individual level. In addition to stable individual-specific features, we find spatiotemporal topographies in each subject similar to the group average. Notably, we find a set of early regions that are common to all individuals, are preferentially positioned proximal to multiple functional networks, and overlap with brain regions known to respond to diverse behavioral tasks-altogether consistent with a hypothesized ability to broadly influence cortical excitability. Our findings suggest that, like correlation structure, temporal lag structure is a fundamental organizational property of resting-state infra-slow activity.Entities:
Keywords: functional connectivity; hubs; infra-slow; networks; resting-state fMRI
Mesh:
Year: 2020 PMID: 31504262 PMCID: PMC7132930 DOI: 10.1093/cercor/bhz198
Source DB: PubMed Journal: Cereb Cortex ISSN: 1047-3211 Impact factor: 5.357