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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

Proceedings of the National Academy of Sciences September 3, 2013 DOI: 10.1073/pnas.1312848110 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational cohort Peer reviewed
Population Human participants across the nonrapid eye movement sleep cycle
Topics Default mode network Addiction
Keywords Wakefulness Sleep system call Eye movement Slow-wave sleep Property philosophy Cognitive psychology Cognition Electroencephalography
Citations 278
Key findings Long-range temporal dependence in neural activity decreases from wakefulness to deep nonrapid eye movement sleep, especially in default mode and attention networks.

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 long-term 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.

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