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Decline of long-range temporal correlations in the human brain during\n sustained wakefulness

2017/06/12 by Christian Meisel, Meisel, Christian, Kimberlyn Bailey +5 · 3 citations
Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Sleep and Wakefulness Research

paper · pdf · doi:10.48550/arxiv.1706.03835

openalex publication_date 2017/06/12 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28

Abstract

Sleep is crucial for daytime functioning, cognitive performance and general\nwell-being. These aspects of daily life are known to be impaired after extended\nwake, yet, the underlying neuronal correlates have been difficult to identify.\nAccumulating evidence suggests that normal functioning of the brain is\ncharacterized by long-range temporal correlations (LRTCs) in cortex, which are\nsupportive for decision-making and working memory tasks.\n Here we assess LRTCs in resting state human EEG data during a 40-hour sleep\ndeprivation experiment by evaluating the decay in autocorrelation and the\nscaling exponent of the detrended fluctuation analysis from EEG amplitude\nfluctuations. We find with both measures that LRTCs decline as sleep\ndeprivation progresses. This decline becomes evident when taking changes in\nsignal power into appropriate consideration.\n Our results demonstrate the importance of sleep to maintain LRTCs in the\nhuman brain. In complex networks, LRTCs naturally emerge in the vicinity of a\ncritical state. The observation of declining LRTCs during wake thus provides\nadditional support for our hypothesis that sleep reorganizes cortical networks\ntowards critical dynamics for optimal functioning.\n

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