Sleep loss increases sleep propensity, destabilizes the wake state, impairs psychomotor and cognitive performance, and causes considerable social, financial and health-related costs. Although insufficient sleep is a risk factor for obesity, cardiovascular disease and diabetes, depression, and prospective mortality, about 20% to 40% of the US adults sleep less than the minimum sleep duration (7-8 hours per night) to prevent cumulative deterioration in cognitive performance. Neurobehavioral evidence from our previous studies and other groups has indicated robust and highly replicable (trait-like) individual differences in the magnitude of sleepiness and cognitive performance vulnerability to sleep deprivation. While some healthy adults show substantial cognitive deficits during sleep loss, others show few cognitive changes when sleep is deprived. However, little is known about why some sleep-deprived people are more prone to cognitive deficits that can result in costly errors and accidents. To answer this question, we propose to combine our interdisciplinary expertise in neuroimaging and neurobehavioral effects of sleep deprivation to elucidate the neural basis underlying this differential cognitive vulnerability. We will use a new technique of arterial spin labeling (ASL) perfusion functional magnetic resonance imaging (fMRI) for quantification of resting brain activity without task and tonic activation during performance of the psychomotor vigilance test (PVT) in a large sample of N=60 healthy subjects after normal sleep and following sleep deprivation. PVT is a simple, reliable and highly sensitive task for measuring attentional and performance deficits due to sleep deprivation. We will also use traditional BOLD fMRI for measuring phasic activation during fast and slow PVT responses and functional connectivity analysis for studying brain connectivity after normal sleep and following sleep deprivation. The findings from this project will elucidate the neural mechanisms by which sleep deprivation affects behavioral performance and how the effects of sleep deprivation vary across individuals of differential vulnerability. The new knowledge gained from this study will have relevance for understanding and managing excessive sleepiness due to a number of common sleep disorders (e.g., sleep apnea and other sleep disorders;affective disorders;shift work sleep disorder). The project also has the potential to yield brain-based biomarkers that can be used to predict individual responses to sleep deprivation and its treatment.
Although insufficient sleep is a risk factor for obesity, cardiovascular disease and diabetes, depression, and prospective mortality, about 20% to 40% of the adult US population sleep less than the minimum sleep duration (7-8 hours per night) to prevent cumulative deterioration in performance on a range of cognitive tasks. There are robust and highly replicable individual differences in the magnitude of sleepiness and cognitive performance vulnerability to sleep deprivation. This project will use multimodal brain imaging techniques to evaluate neural predictors of response to sleep deprivation and identify why some sleep-deprived people are more prone to cognitive deficits that can result in costly errors and accidents.
|Wetherill, Reagan R; Rao, Hengyi; Hager, Nathan et al. (2018) Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting-state fMRI. Addict Biol :|
|Dennis, Laura E; Wohl, Rachael J; Selame, Lauren A et al. (2017) Healthy Adults Display Long-Term Trait-Like Neurobehavioral Resilience and Vulnerability to Sleep Loss. Sci Rep 7:14889|
|Fang, Zhuo; Jung, Wi Hoon; Korczykowski, Marc et al. (2017) Post-conventional moral reasoning is associated with increased ventral striatal activity at rest and during task. Sci Rep 7:7105|
|Fang, Zhuo; Rao, Hengyi (2017) Imaging homeostatic sleep pressure and circadian rhythm in the human brain. J Thorac Dis 9:E495-E498|
|Arya, Nisha G; Weissbart, Steven J; Xu, Sihua et al. (2017) Brain activation in response to bladder filling in healthy adults: An activation likelihood estimation meta-analysis of neuroimaging studies. Neurourol Urodyn 36:960-965|
|Xu, Sihua; Pan, Yu; Wang, You et al. (2016) Real and hypothetical monetary rewards modulate risk taking in the brain. Sci Rep 6:29520|
|Li, Zhengjun; Fang, Zhuo; Hager, Nathan et al. (2016) Hyper-resting brain entropy within chronic smokers and its moderation by Sex. Sci Rep 6:29435|
|Jung, Wi Hoon; Prehn, Kristin; Fang, Zhuo et al. (2016) Moral competence and brain connectivity: A resting-state fMRI study. Neuroimage 141:408-415|
|Prehn, Kristin; Korczykowski, Marc; Rao, Hengyi et al. (2015) Neural correlates of post-conventional moral reasoning: a voxel-based morphometry study. PLoS One 10:e0122914|
|Gui, Danyang; Xu, Sihua; Zhu, Senhua et al. (2015) Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload. Neuroimage 120:323-330|
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