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

Enzo Tagliazucchi, Frederic Von Wegner, Astrid Morzelewski, Verena Brodbeck, Kolja Jahnke, Helmut Laufs

Research output: Contribution to journalArticlepeer-review

163 Scopus citations

Abstract

The integration of segregated brain functional modules is a prerequisite for conscious awareness during wakeful rest. Here, we test the hypothesis that temporal integration, measured as longterm memory in the history of neural activity, is another important quality underlying conscious awareness. For this aim, we study the temporal memory of blood oxygen level-dependent signals across the human nonrapid eye movement sleep cycle. Results reveal that this property gradually decreases from wakefulness to deep nonrapid eye movement sleep and that such decreases affect areas identified with default mode and attention networks. Although blood oxygen level-dependent spontaneous fluctuations exhibit nontrivial spatial organization, even during deep sleep, they also display a decreased temporal complexity in specific brain regions. Conversely, this result suggests that long-range temporal dependence might be an attribute of the spontaneous conscious mentation performed during wakeful rest.

Original languageEnglish
Pages (from-to)15419-15424
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume110
Issue number38
DOIs
StatePublished - 17 Oct 2013
Externally publishedYes

Keywords

  • Consciousness
  • EEG-functional MRI
  • Long-range correlations
  • Multi-modal
  • Resting state

Fingerprint

Dive into the research topics of 'Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep'. Together they form a unique fingerprint.

Cite this