Literature DB >> 31504262

Organization of Propagated Intrinsic Brain Activity in Individual Humans.

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.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

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


  113 in total

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