Literature DB >> 23313420

Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle.

Enzo Tagliazucchi1, Frederic von Wegner, Astrid Morzelewski, Verena Brodbeck, Sergey Borisov, Kolja Jahnke, Helmut Laufs.   

Abstract

Large-scale brain functional networks (measured with functional magnetic resonance imaging, fMRI) are organized into separated but interacting modules, an architecture supporting the integration of distinct dynamical processes. In this work we study how the aforementioned modular architecture changes with the progressive loss of vigilance occurring in the descent to deep sleep and we examine the relationship between the ensuing slow electroencephalographic rhythms and large-scale network modularity as measured with fMRI. Graph theoretical methods are used to analyze functional connectivity graphs obtained from fifty-five participants at wakefulness, light and deep sleep. Network modularity (a measure of functional segregation) was found to increase during deeper sleep stages but not in light sleep. By endowing functional networks with dynamical properties, we found a direct link between increased electroencephalographic (EEG) delta power (1-4 Hz) and a breakdown of inter-modular connectivity. Both EEG slowing and increased network modularity were found to quickly decrease during awakenings from deep sleep to wakefulness, in a highly coordinated fashion. Studying the modular structure itself by means of a permutation test, we revealed different module memberships when deep sleep was compared to wakefulness. Analysis of node roles in the modular structure revealed an increase in the number of locally well-connected nodes and a decrease in the number of globally well-connected hubs, which hinders interactions between separated functional modules. Our results reveal a well-defined sequence of changes in brain modular organization occurring during the descent to sleep and establish a close parallel between modularity alterations in large-scale functional networks (accessible through whole brain fMRI recordings) and the slowing of scalp oscillations (visible on EEG). The observed re-arrangement of connectivity might play an important role in the processes underlying loss of vigilance and sensory awareness during deep sleep.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23313420     DOI: 10.1016/j.neuroimage.2012.12.073

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  36 in total

1.  Network analysis of human fMRI data suggests modular restructuring after simulated acquired brain injury.

Authors:  E Ruiz Vargas; D G V Mitchell; S G Greening; L M Wahl
Journal:  Med Biol Eng Comput       Date:  2015-10-13       Impact factor: 2.602

2.  Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep.

Authors:  Enzo Tagliazucchi; Frederic von Wegner; Astrid Morzelewski; Verena Brodbeck; Kolja Jahnke; Helmut Laufs
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

Review 3.  Neural Correlates of Unconsciousness in Large-Scale Brain Networks.

Authors:  George A Mashour; Anthony G Hudetz
Journal:  Trends Neurosci       Date:  2018-02-03       Impact factor: 13.837

4.  EEG Functional Connectivity Prior to Sleepwalking: Evidence of Interplay Between Sleep and Wakefulness.

Authors:  Marie-Ève Desjardins; Julie Carrier; Jean-Marc Lina; Maxime Fortin; Nadia Gosselin; Jacques Montplaisir; Antonio Zadra
Journal:  Sleep       Date:  2017-04-01       Impact factor: 5.849

5.  Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.

Authors:  Vladimir Miskovic; Kevin J MacDonald; L Jack Rhodes; Kimberly A Cote
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

6.  A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Liqun Kuang; Xie Han; Kewei Chen; Richard J Caselli; Eric M Reiman; Yalin Wang
Journal:  Hum Brain Mapp       Date:  2018-12-19       Impact factor: 5.038

7.  Instability of brain connectivity during nonrapid eye movement sleep reflects altered properties of information integration.

Authors:  Yi-Chia Kung; Chia-Wei Li; Shuo Chen; Sharon Chia-Ju Chen; Chun-Yi Z Lo; Timothy J Lane; Bharat Biswal; Changwei W Wu; Ching-Po Lin
Journal:  Hum Brain Mapp       Date:  2019-04-02       Impact factor: 5.038

Review 8.  The sleep-deprived human brain.

Authors:  Adam J Krause; Eti Ben Simon; Bryce A Mander; Stephanie M Greer; Jared M Saletin; Andrea N Goldstein-Piekarski; Matthew P Walker
Journal:  Nat Rev Neurosci       Date:  2017-05-18       Impact factor: 34.870

9.  The contribution of electrophysiology to functional connectivity mapping.

Authors:  Marieke L Schölvinck; David A Leopold; Matthew J Brookes; Patrick H Khader
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

10.  Dynamic Reconfiguration, Fragmentation, and Integration of Whole-Brain Modular Structure across Depths of Unconsciousness.

Authors:  Dominic Standage; Corson N Areshenkoff; Joseph Y Nashed; R Matthew Hutchison; Melina Hutchison; Dietmar Heinke; Ravi S Menon; Stefan Everling; Jason P Gallivan
Journal:  Cereb Cortex       Date:  2020-09-03       Impact factor: 5.357

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