Neural Mechanism Underlying the Sleep Deprivation-Induced Abnormal Bistable Perception

Abstract

Quality sleep is vital for physical and mental health. No matter whether sleep problems are a consequence of or contributory factor to mental disorders, people with psychosis often suffer from severe sleep disturbances. Previous research has shown that acute sleep deprivation (SD) can cause transient brain dysfunction and lead to various cognitive impairments in healthy individuals. However, the relationship between sleep disturbance and bistable perception remains unclear. Here, we investigated whether the bistable perception could be affected by SD and elucidated the functional brain changes accompanying SD effects on bistable perception using functional magnetic resonance imaging. We found that the 28-h SD resulted in slower perceptual transitions in healthy individuals. The reduced perceptual transition was accompanied by the decreased activations in rivalry-related frontoparietal areas, including the right superior parietal lobule, right frontal eye field, and right temporoparietal junction. We speculated that SD might disrupt the normal function of these regions crucial for bistable perception, which mediated the slower rivalry-related perceptual transitions in behavior. Our findings revealed the neural changes underlying the abnormal bistable perception following the SD. It also suggested that SD might offer a new window to understand the neural mechanisms underlying the bistable perception.

Total sleep deprivation reduces the table tennis anticipation performance of young men: A functional magnetic resonance imaging study

“…Previous studies have found that SD-impaired memory was associated with the hippocampus. 35 , 36 Therefore, the reduced activation of the hippocampus in our research in the non-athlete group after SD occurred because SD damaged memory. In contrast, activation of the hippocampus was increased in the table tennis player group, possibly because the table tennis player group stored a large amount of episodic memory and abstract conceptual knowledge about table tennis.…”

“… 32 , 33 SD impairs memory which may relate to the activation in the frontoparietal areas, medial prefrontal cortex (mPFC), and hippocampus. 34 , 35 , 36 The increased risk-taking propensity of decision-making after SD is related to the left IFG and dlPFC, ventromedial prefrontal cortex (vmPFC). 37 , 38 , 39 , 40 These studies have documented the cognitive neuroscience mechanisms by which SD affects cognitive function in the general population; however, few studies evaluating the cognitive neuroscience mechanisms of SD affecting sports anticipation in athletes have existed.…”

Image discrimination reversal learning is impaired by sleep deprivation in rats: Cognitive rigidity or fatigue?

“…There is a large literature demonstrating evidence that sleep loss incurs temporary deficits in vigilance (measured by the psychomotor vigilance test) ( Banks and Dinges, 2007 ; Killgore, 2010 ; Kayser et al, 2022 ), attention ( Goel et al, 2009 ; Killgore, 2010 ; Kayser et al, 2022 ), emotional functioning ( Killgore, 2010 ; Kayser et al, 2022 ), mood ( Killgore, 2010 ; Kayser et al, 2022 ), and learning ( Goel et al, 2009 ; Killgore, 2010 ). There is also evidence of the effects of insufficient sleep on sensory perception ( Killgore, 2010 ; Zhou et al, 2022 ), appraisal ( Yoo et al, 2007a ; Killgore, 2010 ) and decision making ( Killgore, 2010 ; Kayser et al, 2022 ). The effects of SD on more executive processes are not as clear and involve different areas of the brain.…”

Leading basic modes of spontaneous activity drive individual functional connectivity organization in the resting human brain

“…Influence of sleep deprivation on the leading basic modes. To assess whether the leading basic modes are affected by mental states, we applied the eigen-microstate analysis to the sleep deprivation dataset 50 . In this dataset, 19 participants underwent R-fMRI scanning during rested wakefulness and after sleep deprivation.…”

“…The eigen-microstate analysis is useful for extracting meaningful and fundamental spatial components (i.e., basic modes) underlying the temporal evolution of complex systems by incorporating spatial information over time 47,48 . Specifically, we applied this approach to R-fMRI data from healthy young adults from three datasets: the S900 release of the Human Connectome Project (HCP) 49 , the sleep-deprivation dataset 50 , and the Beijing Zang dataset 51 . First, we identified the leading basic modes that dominated the spontaneous fluctuations of BOLD signals and unraveled their cognitive significance.…”