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Wu J, Kwok SC, Wang H, Wang Z. Effects of post-learning nap in the recognition memory for faces in habitual nappers. Neurobiol Learn Mem 2024; 213:107957. [PMID: 38964599 DOI: 10.1016/j.nlm.2024.107957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 05/14/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
This study investigated the effects of diurnal nap in the recognition memory for faces in habitual nappers. Thirty volunteers with habitual midday napping (assigned as the sleep group) and 28 non-nappers (assigned as the wake group) participated in this study. Participants were instructed to memorize faces, and subsequently to perform two recognition tasks before and after nap/wakefulness, i.e., an immediate recognition and a delayed recognition. There were three experimental conditions: same faces with the same view angle (S-S condition); same faces with a different view angle (22.5°) (S-D condition); and novel faces (NF condition). A mixed repeated-measures ANOVA revealed that the sleep group exhibited significantly longer reaction times (RT) following their nap compared to those of the wake group; no significant between-group differences were observed in accuracy or sensitivity (d'). Furthermore, both groups were more conservative in the delayed recognition task compared to the immediate recognition task, but the sleep group was more conservative after their nap (vs pre-nap), reflected by the criterion (β, Ohit/Ofalse alarm). Further stepwise regression analysis revealed a positive relationship between duration of stage N3 sleep and normalized RT difference before/after nap on the S-S condition. These findings suggest that an immediate nap following face learning is associated with memory reorganization during N3 sleep in habitual nappers, rendering the memories not readily accessible.
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Affiliation(s)
- Jue Wu
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Center for Psychological Health Education of College Students, Wuhan University, Wuhan, Hubei Province, China
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Changning Mental Health Center, Shanghai, China; Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Data Science Research Center, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan, Jiangsu, China; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Huimin Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Changning Mental Health Center, Shanghai, China.
| | - Zhaoxin Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Changning Mental Health Center, Shanghai, China; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China.
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2
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Xing H, Wu Z, Chang Y, Ma M, Song Z, Liu Y, Dai H. Resting-State fMRI Study of Vigilance Under Circadian and Homeostatic Modulation Based on Fractional Amplitude of Low-Frequency Fluctuation and Regional Homogeneity in Humans Under Normal Entrained Conditions. J Magn Reson Imaging 2024; 59:211-222. [PMID: 37078514 DOI: 10.1002/jmri.28750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/10/2023] [Accepted: 04/10/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND How brain neural activity changes at multiple time points throughout the day and the neural mechanisms underlying time-dependent modulation of vigilance are less clear. PURPOSE To explore the effect of circadian rhythms and homeostasis on brain neural activity and the potential neural basis of time-dependent modulation of vigilance. STUDY TYPE Prospective. SUBJECTS A total of 30 healthy participants (22-27 years old). FIELD STRENGTH/SEQUENCE A 3.0 T, T1-weighted imaging, echo-planar functional MRI (fMRI). ASSESSMENT Six resting-state fMRI (rs-fMRI) scanning sessions were performed at fixed times (9:00 h, 13:00 h, 17:00 h, 21:00 h, 1:00 h, and 5:00 h) to investigate fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) diurnal variation. The fALFF/ReHo and the result of the psychomotor vigilance task were used to assess local neural activity and vigilance. STATISTICAL TESTS One-way repeated measures analysis of variance (ANOVA) was used to assess changes in vigilance (P < 0.05) and neural activity in the whole brain (P < 0.001 at the voxel level and P < 0.01 at the cluster level, Gaussian random field [GRF] corrected). Correlation analysis was used to examine the relationship between neural activity and vigilance at all-time points of the day. RESULTS The fALFF/ReHo in the thalamus and some perceptual cortices tended to increase from 9:00 h to 13:00 h and from 21:00 h to 5:00 h, whereas the key nodes of the default mode network (DMN) tended to decrease from 21:00 h to 5:00 h. The vigilance tended to decrease from 21:00 h to 5:00 h. The fALFF/ReHo in the thalamus and some perceptual cortices was negatively correlated with vigilance at all-time points of the day, whereas the fALFF/ReHo in the key nodes of the DMN was positively correlated with vigilance. DATA CONCLUSION Neural activities in the thalamus and some perceptual cortices show similar trends throughout the day, whereas the key nodes of the DMN show roughly opposite trends. Notably, diurnal variation of the neural activity in these brain regions may be an adaptive or compensatory response to changes in vigilance. EVIDENCE LEVEL 1. TECHNICAL EFFICACY 1.
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Affiliation(s)
- Hanqi Xing
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Zhiwei Wu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Yue Chang
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Mengya Ma
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Ziyang Song
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Yuanqing Liu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
| | - Hui Dai
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, People's Republic of China
- Institute of Medical Imaging, Soochow University, Suzhou, Jiangsu Province, People's Republic of China
- Suzhou Key Laboratory of Intelligent Medicine and Equipment, Suzhou, Jiangsu Province, People's Republic of China
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3
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Abdelhack M, Zhukovsky P, Milic M, Harita S, Wainberg M, Tripathy SJ, Griffiths JD, Hill SL, Felsky D. Opposing brain signatures of sleep in task-based and resting-state conditions. Nat Commun 2023; 14:7927. [PMID: 38040769 PMCID: PMC10692207 DOI: 10.1038/s41467-023-43737-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
Sleep and depression have a complex, bidirectional relationship, with sleep-associated alterations in brain dynamics and structure impacting a range of symptoms and cognitive abilities. Previous work describing these relationships has provided an incomplete picture by investigating only one or two types of sleep measures, depression, or neuroimaging modalities in parallel. We analyze the correlations between brainwide neural signatures of sleep, cognition, and depression in task and resting-state data from over 30,000 individuals from the UK Biobank and Human Connectome Project. Neural signatures of insomnia and depression are negatively correlated with those of sleep duration measured by accelerometer in the task condition but positively correlated in the resting-state condition. Our results show that resting-state neural signatures of insomnia and depression resemble that of rested wakefulness. This is further supported by our finding of hypoconnectivity in task but hyperconnectivity in resting-state data in association with insomnia and depression. These observations dispute conventional assumptions about the neurofunctional manifestations of hyper- and hypo-somnia, and may explain inconsistent findings in the literature.
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Affiliation(s)
- Mohamed Abdelhack
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Peter Zhukovsky
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Boston, MA, USA
| | - Milos Milic
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Shreyas Harita
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Michael Wainberg
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Shreejoy J Tripathy
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - John D Griffiths
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Sean L Hill
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
- Rotman Research Institute, Baycrest Hospital, Toronto, ON, Canada.
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4
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Wu Y, Lei Y, Chen P, Hu G, Lin B, Zhang C, Wu X, Wang L. Dissociable brainstem functional connectivity changes correlate with objective and subjective vigilance decline after total sleep deprivation in healthy male subjects. J Neurosci Res 2023; 101:1044-1057. [PMID: 36827444 DOI: 10.1002/jnr.25182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/15/2023] [Accepted: 02/07/2023] [Indexed: 02/26/2023]
Abstract
The maintenance of vigilance relies on the activation of the cerebral cortex by the arousal system centered on the brainstem. Previous studies have suggested that both objective and subjective vigilance are susceptible to sleep deprivation. This study aims to explore the alterations in brainstem arousal system functional connectivity (FC) and its involvement in these two types of vigilance decline following total sleep deprivation (TSD). Thirty-seven healthy male subjects underwent two counterbalanced resting-state fMRI scans, once in rested wakefulness (RW) and once after 36 h of TSD. The pontine tegmental area and caudal midbrain (PTA-cMidbrain), the core regions of the brainstem arousal system, were chosen as the seeds for FC analysis. The difference in PTA-cMidbrain FC between RW and TSD conditions was then investigated, as well as its associations with objective vigilance measured by psychomotor vigilance task (PVT) and subjective vigilance measured by Stanford Sleepiness Scale. The sleep-deprived subjects showed increased PTA-cMidbrain FC with the thalamus and cerebellum and decreased PTA-cMidbrain FC with the occipital, parietal, and sensorimotor regions. TSD-induced increases in PVT reaction time were negatively correlated with altered PTA-cMidbrain FC in the dorsolateral prefrontal cortex, extrastriate visual cortex, and precuneus. TSD-induced increases in subjective sleepiness were positively correlated with altered PTA-cMidbrain FC in default mode regions including the medial prefrontal cortex and precuneus. Our results suggest that different brainstem FC patterns underlie the objective and subjective vigilance declines induced by TSD.
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Affiliation(s)
- Yuxin Wu
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Yu Lei
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Pinhong Chen
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Gang Hu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, China
| | - Bei Lin
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Chaoyue Zhang
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Xinhuai Wu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, China
| | - Lubin Wang
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
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5
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Whitney P, Kurinec CA, Hinson JM. Temporary amnesia from sleep loss: A framework for understanding consequences of sleep deprivation. Front Neurosci 2023; 17:1134757. [PMID: 37065907 PMCID: PMC10098076 DOI: 10.3389/fnins.2023.1134757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/13/2023] [Indexed: 04/18/2023] Open
Abstract
Throughout its modern history, sleep research has been concerned with both the benefits of sleep and the deleterious impact of sleep disruption for cognition, behavior, and performance. When more specifically examining the impact of sleep on memory and learning, however, research has overwhelmingly focused on how sleep following learning facilitates memory, with less attention paid to how lack of sleep prior to learning can disrupt subsequent memory. Although this imbalance in research emphasis is being more frequently addressed by current investigators, there is a need for a more organized approach to examining the effect of sleep deprivation before learning. The present review briefly describes the generally accepted approach to analyzing effects of sleep deprivation on subsequent memory and learning by means of its effects on encoding. Then, we suggest an alternative framework with which to understand sleep loss and memory in terms of temporary amnesia from sleep loss (TASL). The review covers the well-characterized properties of amnesia arising from medial temporal lobe lesions and shows how the pattern of preserved and impaired aspects of memory in amnesia may also be appearing during sleep loss. The view of the TASL framework is that amnesia and the amnesia-like deficits observed during sleep deprivation not only affect memory processes but will also be apparent in cognitive processes that rely on those memory processes, such as decision-making. Adoption of the TASL framework encourages movement away from traditional explanations based on narrowly defined domains of memory functioning, such as encoding, and taking instead a more expansive view of how brain structures that support memory, such as the hippocampus, interact with higher structures, such as the prefrontal cortex, to produce complex cognition and behavioral performance, and how this interaction may be compromised by sleep disruption.
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Affiliation(s)
- Paul Whitney
- Department of Psychology, Washington State University, Pullman, WA, United States
- Sleep and Performance Research Center, Washington State University, Spokane, WA, United States
- *Correspondence: Paul Whitney,
| | - Courtney A. Kurinec
- Sleep and Performance Research Center, Washington State University, Spokane, WA, United States
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - John M. Hinson
- Department of Psychology, Washington State University, Pullman, WA, United States
- Sleep and Performance Research Center, Washington State University, Spokane, WA, United States
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6
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Li Y, Ma M, Shao Y, Wang W. Enhanced effective connectivity from the middle frontal gyrus to the parietal lobe is associated with impaired mental rotation after total sleep deprivation: An electroencephalogram study. Front Neurosci 2022; 16:910618. [PMID: 36248651 PMCID: PMC9566834 DOI: 10.3389/fnins.2022.910618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
Abstract
Sleep deprivation impairs cognitive functions, including attention, memory, and decision-making. Studies on the neuro-electro-physiological mechanisms underlying total sleep deprivation (TSD) that impairs spatial cognition are limited. Based on electroencephalogram (EEG) and Exact Low Resolution Brain Electromagnetic Tomography (eLORETA), this study focused on the effects of TSD on mental rotation and the cognitive neural mechanisms underlying its damage. Twenty-four healthy college students completed mental rotation tasks while resting and after 36 h of TSD; their EEG data were simultaneously recorded. The amplitude of P300 component associated with mental rotation was observed and localized through source reconstruction, while changes in effective connectivity between multiple brain regions associated with mental rotation cognitive processing were calculated using isolated effective coherence (iCoh) of eLORETA. Compared with the baseline before TSD, the amplitude of the P300 component related to mental rotation decreased. The task-state data of P300 were localized to the source of the difference in ERP current density, and it was found that the brain regions related to the difference in the decrease in P300 amplitude included the superior parietal lobule, precuneus, prefrontal lobe, and other related regions. Effective connectivity analysis found that TSD enhanced the effective connectivity from the left middle frontal gyrus to the left superior parietal lobule, left inferior parietal lobule, and left precuneus under the identical condition. Pearson correlation analysis showed a positive correlation between the decrease in accuracy of mental rotation and increase in effective connectivity. Thus, our study suggests that TSD impairs the ability of the mental rotation, showing a decrease in P300 amplitude and an enhanced effective connectivity between the middle frontal gyrus and the parietal lobe in the task state.
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Affiliation(s)
- Yutong Li
- School of Psychology, Beijing Sport University, Beijing, China
| | - Mengke Ma
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
- *Correspondence: Yongcong Shao,
| | - Wei Wang
- Department of Criminal Psychology, Northwest University of Political Science and Law, Xi’an, China
- Wei Wang,
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7
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Kim T, Kim S, Kang J, Kwon M, Lee SH. The Common Effects of Sleep Deprivation on Human Long-Term Memory and Cognitive Control Processes. Front Neurosci 2022; 16:883848. [PMID: 35720688 PMCID: PMC9201256 DOI: 10.3389/fnins.2022.883848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/11/2022] [Indexed: 11/17/2022] Open
Abstract
Sleep deprivation is known to have adverse effects on various cognitive abilities. In particular, a lack of sleep has been reported to disrupt memory consolidation and cognitive control functions. Here, focusing on long-term memory and cognitive control processes, we review the consistency and reliability of the results of previous studies of sleep deprivation effects on behavioral performance with variations in the types of stimuli and tasks. Moreover, we examine neural response changes related to these behavioral changes induced by sleep deprivation based on human fMRI studies to determine the brain regions in which neural responses increase or decrease as a consequence of sleep deprivation. Additionally, we discuss about the possibility that light as an environmentally influential factor affects our sleep cycles and related cognitive processes.
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Affiliation(s)
- Taehyun Kim
- Department of Bio and Brain Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Sejin Kim
- Department of Bio and Brain Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Joonyoung Kang
- Department of Bio and Brain Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- Program of Brain and Cognitive Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Minjae Kwon
- Department of Bio and Brain Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Sue-Hyun Lee
- Department of Bio and Brain Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- Program of Brain and Cognitive Engineering, College of Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- *Correspondence: Sue-Hyun Lee,
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8
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Sun J, Zhao R, He Z, Chang M, Wang F, Wei W, Zhang X, Zhu Y, Xi Y, Yang X, Qin W. Abnormal dynamic functional connectivity after sleep deprivation from temporal variability perspective. Hum Brain Mapp 2022; 43:3824-3839. [PMID: 35524680 PMCID: PMC9294309 DOI: 10.1002/hbm.25886] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/07/2022] [Accepted: 04/08/2022] [Indexed: 12/25/2022] Open
Abstract
Sleep deprivation (SD) is very common in modern society and regarded as a potential causal mechanism of several clinical disorders. Previous neuroimaging studies have explored the neural mechanisms of SD using magnetic resonance imaging (MRI) from static (comparing two MRI sessions [one after SD and one after resting wakefulness]) and dynamic (using repeated MRI during one night of SD) perspectives. Recent SD researches have focused on the dynamic functional brain organization during the resting-state scan. Our present study adopted a novel metric (temporal variability), which has been successfully applied to many clinical diseases, to examine the dynamic functional connectivity after SD in 55 normal young subjects. We found that sleep-deprived subjects showed increased regional-level temporal variability in large-scale brain regions, and decreased regional-level temporal variability in several thalamus subregions. After SD, participants exhibited enhanced intra-network temporal variability in the default mode network (DMN) and increased inter-network temporal variability in numerous subnetwork pairs. Furthermore, we found that the inter-network temporal variability between visual network and DMN was negative related with the slowest 10% respond speed (β = -.42, p = 5.57 × 10-4 ) of the psychomotor vigilance test after SD following the stepwise regression analysis. In conclusion, our findings suggested that sleep-deprived subjects showed abnormal dynamic brain functional configuration, which provides new insights into the neural underpinnings of SD and contributes to our understanding of the pathophysiology of clinical disorders.
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Affiliation(s)
- Jinbo Sun
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, China.,Intelligent Non-invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, China
| | - Rui Zhao
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Zhaoyang He
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Mengying Chang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Fumin Wang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Wei Wei
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Xiaodan Zhang
- School of Electronics and Information, Xi'an Polytechnic University, Xi'an, China
| | - Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Yibin Xi
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.,Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Xuejuan Yang
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, China.,Intelligent Non-invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, China
| | - Wei Qin
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Sciences and Technology, Xidian University, Xi'an, China.,Intelligent Non-invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, China
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9
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Wassan S, Xi C, Shen T, Gulati K, Ibraheem K, Amir Latif Rajpoot RM. The Impact of Online Learning System on Students Affected with Stroke Disease. Behav Neurol 2022; 2022:4847066. [PMID: 35178124 PMCID: PMC8843983 DOI: 10.1155/2022/4847066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/24/2021] [Accepted: 12/28/2021] [Indexed: 12/27/2022] Open
Abstract
Stroke, also known as a cerebrovascular accident, is a medical emergency that causes temporary or permanent behavioral dysfunction in people. Sleep deprivation affects our brains in a variety of ways. The advantages of sleep much justify the risks of not having enough sleep. Sleep deprivation (SD) includes a variety of factors, including prolonged awake. Neuroimaging investigates SD's impact on attention, working memory, mood, and hippocampal learning. We analyzed how this data enriches our mechanistic understanding of these alterations and the clinical illnesses linked with sleep disruption. We have used Cronbach's alpha to test the reliability of a scale, so we then have 19 individual attributes responding to 174 participants via survey. The evaluated result shows the reliability statistics; the value for Cronbach's alpha is .962, which is very excellent as it reaches 1. So, there is very strong reliability. If the value falls under .6, we look back to the mean and standard deviation table and remove the attribute with low values for mean or standard deviation and try the remaining attributes. Cronbach's alpha tells us which attribute or item to delete to increase the reliability, and we also have analyzed the correlation among the class students while watching the same video lecture. We have collected data for at least ten students watching the same video using a webcam. Once the data is collected, we then have applied some correlation techniques to determine the class students' behavior towards the same video lecture. This way, we can see the overall behavior of the class upon a specific video lecture. The study further reveals that subjective happiness is influenced by its efficiency, entertainment value, and effectiveness. Does the research offer an original emphasis on analyzing how does lack of sleep affect our brains? Sleep loss frameworks are minimal compared to the benefits of sleep.
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Affiliation(s)
| | - Chen Xi
- Business School, Nanjing University, China
| | - Tian Shen
- School of International Education, Nanjing University of CM, China
| | - Kamal Gulati
- Amity University, Noida, Uttar, Pradesh, India
- Stratford University, Virginia, USA
| | - Kinza Ibraheem
- Department of Computer Science COMSATS University Islamabad, Sahiwal Campus, Pakistan
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10
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Duan H, Wang YJ, Lei X. The effect of sleep deprivation on empathy for pain: An ERP study. Neuropsychologia 2021; 163:108084. [PMID: 34762907 DOI: 10.1016/j.neuropsychologia.2021.108084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/23/2021] [Accepted: 11/06/2021] [Indexed: 02/04/2023]
Abstract
Empathy for pain has a strong adaptive function. It plays a protective role in survival and exerts a vital impact on successful social interaction. Sleep loss, however, is commonplace in current society, and people are increasingly plagued by it. Previous studies have investigated whether sleep loss affects empathy for pain, yet the results were undecided. We aimed to determine whether this effect is existed and further explore the temporal and frequency dynamics of neural activities involved in this effect by recording the electroencephalogram (EEG) signals. We recruited 25 healthy adults (11 females) who were required to perform a pain judgement and unpleasantness rating about the presented nociceptive and neutral pictures after nocturnal sleep (NS) and sleep deprivation (SD), and their neuronal activities were recorded by event-related potentials (ERPs). Results showed a significantly decreased amplitude in the early components (N2, N340) of vicarious pain processing after SD. In further time-frequency (TF) analysis, a reduced energy occurred in theta2 (5-7 Hz) band under SD condition. Moreover, the decreased theta2 was positively correlated with the subjective ratings of both other's pain and self-unpleasantness only under SD condition. Our results indicated that SD impairs affective sharing of empathy for pain.
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Affiliation(s)
- Huimin Duan
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China
| | - Ya-Jie Wang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China; Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, 400715, China.
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11
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Mao T, Dinges D, Deng Y, Zhao K, Yang Z, Lei H, Fang Z, Yang FN, Galli O, Goel N, Basner M, Rao H. Impaired Vigilant Attention Partly Accounts for Inhibition Control Deficits After Total Sleep Deprivation and Partial Sleep Restriction. Nat Sci Sleep 2021; 13:1545-1560. [PMID: 34557048 PMCID: PMC8455079 DOI: 10.2147/nss.s314769] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 08/26/2021] [Indexed: 12/31/2022] Open
Abstract
PURPOSE Sleep loss impairs a range of neurobehavioral functions, particularly vigilant attention and arousal. However, the detrimental effects of sleep deprivation on inhibition control and its relationship to vigilant attention impairments remain unclear. This study examined the extent to which vigilant attention deficits contribute to inhibition control performance after one night of total sleep deprivation (TSD) and two nights of partial sleep restriction (PSR). PARTICIPANTS AND METHODS We analyzed data from N = 49 participants in a one-night of TSD experiment, N=16 participants in a control experiment without sleep loss, and N = 16 participants in a two-nights of PSR experiment (time in bed, TIB = 6 h for each night). Throughout waking periods in each condition, participants completed the psychomotor vigilance test (PVT), which measures vigilant attention, and the Go/No-Go task, which measures inhibition control. RESULTS After TSD and PSR, participants displayed significantly slower reaction times (RT) and more lapses in PVT performance, as well as slower Go RT and more errors of omission during the Go/No-Go task. PVT deficits accounted for 18.0% of the change in Go RT and 12.4% of the change in errors of omission in the TSD study, and 23.7% of the change in Go RT and 20.3% of the change in errors of omission in the PSR study. CONCLUSION Both TSD and PSR impaired inhibition control during the Go/No-Go task, which can be partly accounted for by vigilant attention deficits during the PVT. These findings support the key role of vigilant attention in maintaining overall neurobehavioral function after sleep loss.
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Affiliation(s)
- Tianxin Mao
- Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David Dinges
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Yao Deng
- Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ke Zhao
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Zijing Yang
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- School of Medicine, Shanghai Jiaotong University, Shanghai, People’s Republic of China
| | - Hui Lei
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhuo Fang
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Fan Nils Yang
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Olga Galli
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Namni Goel
- Biological Rhythms Research Laboratory, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Mathias Basner
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Hengyi Rao
- Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, People’s Republic of China
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
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12
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Fifel K, Deboer T. Heterogenous electrophysiological responses of functionally distinct striatal subregions to circadian and sleep-related homeostatic processes. Sleep 2021; 45:6369544. [PMID: 34516641 DOI: 10.1093/sleep/zsab230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/08/2021] [Indexed: 11/13/2022] Open
Abstract
Basal Ganglia (BG) are a set of subcortical nuclei that are involved in the control of a wide variety of motor, cognitive and affective behaviors. Although many behavioral abnormalities associated with BG dysfunction overlap with the clinical picture precipitated by the lack of sleep, the impact of sleep alterations on neuronal activity in BG is unknown. Using wildtype C57BI mice, we investigated the circadian and sleep-related homeostatic modulation of neuronal activity in the 3 functional subdivisions of the striatum (i.e. sensorimotor, associative and limbic striatum). We found no circadian modulation of activity in both ventral and dorso-medial striatum while the dorso-lateral striatum displayed a significant circadian rhythm with increased firing rates during the subjective dark, active phase. By combining neuronal activity recordings with electroencephalogram (EEG) recordings, we found a strong modulation of neuronal activity by the nature of vigilance states with increased activity during wakefulness and rapid eye movement sleep relative to non-rapid eye movement sleep in all striatal subregions. Depriving animals of sleep for 6 hours induced significant, but heterogenous alterations in the neuronal activity across striatal subregions. Notably, these alterations lasted for up to 48 hours in the sensorimotor striatum and persisted even after the normalization of cortical EEG power densities. Our results show that vigilance and sleep states as well as their disturbances significantly affect neuronal activity within the striatum. We propose that these changes in neuronal activity underlie both the well-established links between sleep alterations and several disorders involving BG dysfunction as well as the maladaptive changes in behavior induced in healthy subjects following sleep loss.
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Affiliation(s)
- Karim Fifel
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.,International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan
| | - Tom Deboer
- Laboratory for Neurophysiology, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands
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13
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Qi J, Li BZ, Zhang Y, Pan B, Gao YH, Zhan H, Liu Y, Shao YC, Weng XC, Zhang X. Disrupted Small-world Networks are Associated with Decreased Vigilant Attention after Total Sleep Deprivation. Neuroscience 2021; 471:51-60. [PMID: 34293415 DOI: 10.1016/j.neuroscience.2021.07.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 07/02/2021] [Accepted: 07/12/2021] [Indexed: 02/06/2023]
Abstract
Sleep deprivation critically affects vigilant attention. Previous neuroimaging studies have revealed altered inter-regional functional connectivity after sleep deprivation, which may disrupt topological properties of brain functional networks. However, little is known about alterations in the topology of intrinsic connectivity and its involvement in attention performance after sleep deprivation. In the current study, we investigated the topological properties of brain networks derived from resting-state functional magnetic resonance imaging of 26 healthy men in rested wakefulness (RW) state and after 36 h of total sleep deprivation (TSD). In the predefined sparsity threshold range, both global and nodal network properties were evaluated based on graph theory analysis. Vigilant attention was assessed using the psychomotor vigilance test (PVT) before and after TSD. Furthermore, Pearson's correlation analyses were conducted to explore the association between altered network properties and changed PVT performance after TSD. At the global level, the brain functional networks in the TSD state showed a significantly lower small-world coefficient than RW, with decreased global efficiency. At the nodal level, the altered regions were selectively distributed in frontoparietal networks, sensorimotor networks, temporal regions, and salience networks. More specifically, the altered clustering coefficient in the posterior superior temporal sulcus (pSTS) and insula, and altered local efficiency in pSTS were further associated with PVT performance after TSD. Our results suggest that the topological properties of brain functional networks are disrupted, and aberrant topology of temporal networks and salience networks may act as neural signatures underlying the vigilant attention impairments after TSD.
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Affiliation(s)
- Jing Qi
- School of Medicine, Nankai University, Tianjin 300071, China; Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Bo-Zhi Li
- Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Ying Zhang
- The Eighth Medical Center of the General Hospital of People's Liberation Army, Beijing 100091, China
| | - Bei Pan
- Airforce Medical Center, PLA, Beijing 100142, China
| | - Yu-Hong Gao
- National Clinical Research Centre for Geriatric Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Hao Zhan
- Airforce Medical Center, PLA, Beijing 100142, China
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong-Cong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China; School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Xie-Chuan Weng
- Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
| | - Xi Zhang
- Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China; School of Medicine, Nankai University, Tianjin 300071, China.
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14
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Cai Y, Mai Z, Li M, Zhou X, Ma N. Altered frontal connectivity after sleep deprivation predicts sustained attentional impairment: A resting-state functional magnetic resonance imaging study. J Sleep Res 2021; 30:e13329. [PMID: 33686744 DOI: 10.1111/jsr.13329] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 12/25/2020] [Accepted: 02/16/2021] [Indexed: 11/28/2022]
Abstract
A series of studies have shown that sleep loss impairs one's capability for sustained attention. However, the underlying neurobiological mechanism linking sleep loss with sustained attention has not been elucidated. The present study aimed to investigate the effect of sleep deprivation on the resting-state brain and explored whether the magnitude of vigilance impairment after acute sleep deprivation can be predicted by measures of spontaneous fluctuations and functional connectivity. We implemented resting-state functional magnetic resonance imaging with 42 participants under both normal sleep and 24-hr sleep-deprivation conditions. The amplitude of low-frequency fluctuations (ALFF) and functional connectivity was used to investigate the neurobiological change caused by sleep deprivation, and the psychomotor vigilance task (PVT) was used to measure sustained attention in each state. Correlation analysis was used to investigate the relationship between the change in ALFF/functional connectivity and vigilance performance. Sleep deprivation induced significant reductions in ALFF in default mode network nodes and frontal-parietal network nodes, while inducing significant increments of ALFF in the bilateral thalamus, motor cortex, and visual cortex. The increased ALFF in the visual cortex was correlated with increased PVT lapses. Critically, decreased frontal-thalamus connectivity was correlated with increased PVT lapses, while increased frontal-visual connectivity was correlated with increased PVT lapses. The findings indicated that acute sleep deprivation induced a robust alteration in the resting brain, and sustained attentional impairment after sleep deprivation could be predicted by altered frontal connectivity with crucial neural nodes of stimulus input, such as the thalamus and visual cortex.
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Affiliation(s)
- Ye Cai
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Zifeng Mai
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Mingzhu Li
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Xiaolin Zhou
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ning Ma
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
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15
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Li BZ, Cao Y, Zhang Y, Chen Y, Gao YH, Peng JX, Shao YC, Zhang X. Relation of Decreased Functional Connectivity Between Left Thalamus and Left Inferior Frontal Gyrus to Emotion Changes Following Acute Sleep Deprivation. Front Neurol 2021; 12:642411. [PMID: 33716944 PMCID: PMC7952868 DOI: 10.3389/fneur.2021.642411] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/01/2021] [Indexed: 12/14/2022] Open
Abstract
Objective: The thalamus is a key node for sleep-wake pathway gate switching during acute sleep deprivation (ASD), and studies have shown that it plays a certain role in emotion changes. However, there are no studies on the association between the thalamus and emotion changes in ASD. In this study, we used resting-state functional magnetic resonance imaging (R-fMRI) to explore whether changes in the functional connections between the thalamus and other brain regions are related to emotion changes and further explored the function of the thalamus under total ASD conditions. Method: Thirty healthy, right-handed adult men underwent emotional assessment according to the Profile of Mood States Scale and R-fMRI scans before and after ASD. The correlations between changes in functional connectivity between the thalamus and other brain regions and emotion changes were then studied. Results: Positive emotions and psychomotor performance were reduced, and negative emotions were increased following ASD. The functional connections between the left thalamus and left middle temporal gyrus, left inferior frontal gyrus, right thalamus, right inferior temporal gyrus, left middle temporal pole gyrus, right calcarine, left cuneus, left rectus and left medial superior frontal gyrus were significantly altered. Decreased functional connectivity between left thalamus and left inferior frontal gyrus related to emotion changes following ASD. Conclusion: This study finds that functional changes in the thalamus are associated with emotion changes during ASD, suggesting that the left thalamus probably plays an essential role in emotion changes under ASD conditions.
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Affiliation(s)
- Bo-Zhi Li
- Department of Neurology, Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China
| | - Ya Cao
- Department of Neurology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ying Zhang
- Department of Medical Psychology, Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yang Chen
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yu-Hong Gao
- Department of Neurology, Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China
| | - Jia-Xi Peng
- Department of Psychology, Beijing Sport University, Beijing, China
| | - Yong-Cong Shao
- Department of Psychology, Beijing Sport University, Beijing, China
| | - Xi Zhang
- Department of Neurology, Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China
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16
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Long Z, Zhao J, Chen D, Lei X. Age-related abnormalities of thalamic shape and dynamic functional connectivity after three hours of sleep restriction. PeerJ 2021; 9:e10751. [PMID: 33569254 PMCID: PMC7845526 DOI: 10.7717/peerj.10751] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/19/2020] [Indexed: 11/23/2022] Open
Abstract
Background Previous neuroimaging studies have detected abnormal activation and intrinsic functional connectivity of the thalamus after total sleep deprivation. However, very few studies have investigated age-related changes in the dynamic functional connectivity of the thalamus and the abnormalities in the thalamic shape following partial sleep deprivation. Methods Fifty-five participants consisting of 23 old adults (mean age: 68.8 years) and 32 young adults (mean age: 23.5 years) were included in current study. A vertex-based shape analysis and a dynamic functional connectivity analysis were used to evaluate the age-dependent structural and functional abnormalities after three hours of sleep restriction. Results Shape analysis revealed the significant main effect of deprivation with local atrophy in the left thalamus. In addition, we observed a significant age deprivation interaction effect with reduced variability of functional connectivity between the left thalamus and the left superior parietal cortex following sleep restriction. This reduction was found only in young adults. Moreover, a significantly negative linear correlation was observed between the insomnia severity index and the changes of variability (post-deprivation minus pre-deprivation) in the functional connectivity of the left thalamus with the left superior parietal cortex. Conclusions The results indicated that three hours of sleep restriction could affect both the thalamic structure and its functional dynamics. They also highlighted the role of age in studies of sleep deprivation.
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Affiliation(s)
- Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of Psychology, University of the Southwest, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
| | - Jia Zhao
- Sleep and NeuroImaging Center, Faculty of Psychology, University of the Southwest, Chongqing, China
| | - Danni Chen
- Sleep and NeuroImaging Center, Faculty of Psychology, University of the Southwest, Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, University of the Southwest, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
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17
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Li B, Zhang L, Zhang Y, Chen Y, Peng J, Shao Y, Zhang X. Decreased Functional Connectivity Between the Right Precuneus and Middle Frontal Gyrus Is Related to Attentional Decline Following Acute Sleep Deprivation. Front Neurosci 2021; 14:530257. [PMID: 33408600 PMCID: PMC7779587 DOI: 10.3389/fnins.2020.530257] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 11/18/2020] [Indexed: 12/21/2022] Open
Abstract
Objectives Acute sleep deprivation (SD) seriously affects cognitive functions, such as attention, memory, and response inhibition. Previous neuroimaging studies have demonstrated a close relationship between the functional activities of the precuneus (PC) and the function of alert attention. However, the specific effect of the PC on attention decline after acute SD has not been elucidated. In this study, we used resting-state functional magnetic resonance imaging (fMRI) to study the relationship between the changes of the PC functional connectivity and alertness decline after total SD. Methods Thirty healthy, right-handed adult men participated in the experiment. Alert attention and functional connectivity were assessed by the Psychomotor Vigilance Test and a resting-state fMRI scan before and after total SD. The region of interest to region of interest (“ROI-to-ROI”) correlation was employed to analyze the relationship between the PC and other brain regions after acute SD. Results Participants showed decreased alert attention after total SD. In addition, SD induced decreased functional connectivity between the right PC and the right middle frontal gyrus (MFG). Moreover, there was a significant correlation between the decreased PC functional connectivity and alertness decline after total SD. Conclusion Our findings suggest that the interruption of the connection between the right PC and the right MFG is related to the observed decline in alert attention after acute SD. These results provide evidence further elucidating the cognitive impairment model of SD.
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Affiliation(s)
- Bozhi Li
- Department of Neurology, The Second Medical Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Liwei Zhang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Ying Zhang
- Department of Psychology Medical, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yang Chen
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Jiaxi Peng
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
| | - Xi Zhang
- Department of Neurology, The Second Medical Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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18
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Vargas IEP, Bicalho LE, Rodrigues ST, Barela JA. Saccadic Eye Movements Attenuate Postural Sway but Less in Sleep-Deprived Young Adults. Front Sports Act Living 2020; 2:97. [PMID: 33345087 PMCID: PMC7739768 DOI: 10.3389/fspor.2020.00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 06/24/2020] [Indexed: 11/13/2022] Open
Abstract
Sleep deprivation affects the performance of postural control and several other aspects related to attentional mechanisms that may alter sensory cue acquisition strategies. This study aimed to examine the possible effects of horizontal saccades and ocular fixation on a target in the performance of postural control in young adults with sleep deprivation. Twenty-six adults formed two groups, tested in two evaluations. In the first evaluation, participants slept normally on the night before. In the second evaluation, 13 participants were sleep deprived (SD) and 13 slept normally (control group [CG]) on the night before. In both evaluations, each participant stood upright as still as possible, in two experimental conditions: fixating the eye on a target and performing saccadic movement toward a target presented in two different locations (0.5 Hz). Each participant performed 3 trials in each condition, lasting 62 s each. Body oscillation was obtained in both anterior-posterior and medial-lateral directions. Results showed that SD participants swayed with a larger magnitude and higher velocity after sleep deprivation in the fixation condition. In the saccadic condition, body sway magnitude and velocity were reduced but were still larger/higher in the SD participants. Sleep deprivation deteriorates the performance of postural control. Saccadic eye movements improve postural control performance even in sleep-deprived participants but are still not sufficient to avoid postural control deterioration due to sleep deprivation.
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Affiliation(s)
- Ivan E Pinto Vargas
- Faculty of Psychomotor, Health, Education and Sports, Salesiana University of Bolivia, La Paz, Bolivia
| | - Lucas E Bicalho
- School of Physical Education, Physiotherapy and Occupational Therapy, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | | | - José A Barela
- Institute of Biosciences, São Paulo State University, Rio Claro, Brazil
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19
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Miraglia F, Tomino C, Vecchio F, Gorgoni M, De Gennaro L, Rossini PM. The brain network organization during sleep onset after deprivation. Clin Neurophysiol 2020; 132:36-44. [PMID: 33254098 DOI: 10.1016/j.clinph.2020.10.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 07/13/2020] [Accepted: 10/11/2020] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Aim of the present study is to investigate the alterations of brain networks derived from EEG analysis in pre- and post-sleep onset conditions after 40 h of sleep deprivation (SD) compared to sleep onset after normal sleep in 39 healthy subjects. METHODS Functional connectivity analysis was made on electroencelographic (EEG) cortical sources of current density and small world (SW) index was evaluated in the EEG frequency bands (delta, theta, alpha, sigma and beta). RESULTS Comparing pre- vs. post-sleep onset conditions after a night of SD a significant decrease of SW in delta and theta bands in post-sleep onset condition was found together with an increase of SW in sigma band. Comparing pre-sleep onset after sleep SD versus pre-sleep onset after a night of normal sleep a decreased of SW index in beta band in pre-sleep onset in SD compared to pre-sleep onset in normal sleep was evidenced. CONCLUSIONS Brain functional network architecture is influenced by the SD in different ways. Brain networks topology during wake resting state needs to be further explored to reveal SD-related changes in order to prevent possible negative effects of SD on behaviour and brain function during wakefulness. SIGNIFICANCE The SW modulations as revealed by the current study could be used as an index of an altered balance between brain integration and segregation processes after SD.
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Affiliation(s)
- Francesca Miraglia
- Brain Connectivity Laboratory, Dept. Neuroscience & Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.
| | - Carlo Tomino
- Scientific Directorate, IRCCS San Raffaele Pisana, Rome, Italy
| | - Fabrizio Vecchio
- Brain Connectivity Laboratory, Dept. Neuroscience & Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy
| | | | | | - Paolo Maria Rossini
- Brain Connectivity Laboratory, Dept. Neuroscience & Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy
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20
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Long Z, Cheng F, Lei X. Age effect on gray matter volume changes after sleep restriction. PLoS One 2020; 15:e0228473. [PMID: 32027695 PMCID: PMC7004551 DOI: 10.1371/journal.pone.0228473] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 01/16/2020] [Indexed: 12/31/2022] Open
Abstract
Sleep deprivation disrupted functional and structural brain areas which are associated with cognition and emotion in healthy participants. However, the effect of age on the structural changes after sleep restriction remains unclear. In the current study, gray matter volume was calculated in 43 young adults and 37 old adults before and after sleep restriction. Two-way mixed analysis of variance (between-subject factor: deprivation; within-subject factor: age) was then employed to investigate differences in gray matter volume changes between young and old adults. Gaussian random field theory was applied for multiple comparison correction. Results revealed that sleep restriction decreases gray matter volume in the right thalamus, left precuneus, and postcentral gyrus. More importantly, we found a significant deprivation × age interaction effect mainly in the right dorsal/ventral anterior insula where the gray matter volume increased in young adults after sleep restriction but showed no difference in old adults. These findings highlight the crucial role of the anterior insula in the neural mechanisms underlying sleep lose, especially among young adults. The current work provided structural evidence for describing emotional dysfunction and suggests the potential effect of age on functional and structural changes after sleep restriction.
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Affiliation(s)
- Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- * E-mail:
| | - Fei Cheng
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
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21
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Network-based Responses to the Psychomotor Vigilance Task during Lapses in Adolescents after Short and Extended Sleep. Sci Rep 2019; 9:13913. [PMID: 31558730 PMCID: PMC6763427 DOI: 10.1038/s41598-019-50180-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 09/04/2019] [Indexed: 11/20/2022] Open
Abstract
Neuroimaging studies of the Psychomotor Vigilance Task (PVT) have revealed brain regions involved in attention lapses in sleep-deprived and well-rested adults. Those studies have focused on individual brain regions, rather than integrated brain networks, and have overlooked adolescence, a period of ongoing brain development and endemic short sleep. This study used functional MRI (fMRI) and a contemporary analytic approach to assess time-resolved peri-stimulus response of key brain networks when adolescents complete the PVT, and test for differences across attentive versus inattentive periods and after short sleep versus well-rested states. Healthy 14–17-year-olds underwent a within-subjects randomized protocol including 5-night spans of extended versus short sleep. PVT was performed during fMRI the morning after each sleep condition. Event-related independent component analysis (eICA) identified coactivating functional networks and corresponding time courses. Analysis of salient time course characteristics tested the effects of sleep condition, lapses, and their interaction. Seven eICA networks were identified supporting attention, executive control, motor, visual, and default-mode functions. Attention lapses, after either sleep manipulation, were accompanied by broadly increased response magnitudes post-stimulus and delayed peak responses in some networks. Well-circumscribed networks respond during the PVT in adolescents, with timing and intensity impacted by attentional lapses regardless of experimentally shortened or extended sleep.
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22
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McMahon WR, Ftouni S, Drummond SPA, Maruff P, Lockley SW, Rajaratnam SMW, Anderson C. The wake maintenance zone shows task dependent changes in cognitive function following one night without sleep. Sleep 2019; 41:5086290. [PMID: 30169703 DOI: 10.1093/sleep/zsy148] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Indexed: 11/12/2022] Open
Abstract
Study Objectives The interaction between homeostatic sleep pressure and circadian timing modulates the impact of sleep deprivation on cognition. We aimed to investigate how this interaction affects different cognitive functions. Methods Twenty-three healthy volunteers (18 males; mean age = 25.4 ± 5.7 years) underwent 40 hours of sleep deprivation under constant routine conditions. Performance on the Psychomotor Vigilance Test and a cognitive battery assessing vigilant attention, complex attention, recognition memory, and working memory was assessed in the morning (27 hours awake) and evening (37 hours awake) during sleep deprivation and compared to well-rested performance 24 hours earlier. Circadian phase assessments confirmed evening tests occurred in the wake maintenance zone (WMZ). Results Increased time awake significantly impacted performance on all measures except recognition memory. Post hoc analyses found performance on all measures was significantly impaired in the morning following 27 hours of sleep deprivation compared to well-rested performance 24 hours earlier. In contrast, complex attention and working memory were preserved in the WMZ after 37 hours awake compared to 24 hours earlier, while vigilant attention and PVT performance were significantly impaired. During sleep deprivation, composite scores of speed and accuracy were both impaired in the morning, while only speed was impaired during the WMZ. Conclusions We observed task- and time-dependent effects of sleep deprivation, such that vigilant attention was significantly impaired after both 27 hours and 37 hours awake (compared to when well-rested at the same circadian clock time). In contrast, complex attention and working memory were impaired at 27 hours awake, but preserved in the WMZ despite increased homeostatic sleep pressure (37 hours awake).
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Affiliation(s)
- William R McMahon
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia
| | - Suzanne Ftouni
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia
| | - Sean P A Drummond
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia
| | - Paul Maruff
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia.,Cogstate Ltd., Melbourne, Victoria, Australia.,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Steven W Lockley
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia.,Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Shantha M W Rajaratnam
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia
| | - Clare Anderson
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.,Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Victoria, Australia
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23
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Javaheripour N, Shahdipour N, Noori K, Zarei M, Camilleri JA, Laird AR, Fox PT, Eickhoff SB, Eickhoff CR, Rosenzweig I, Khazaie H, Tahmasian M. Functional brain alterations in acute sleep deprivation: An activation likelihood estimation meta-analysis. Sleep Med Rev 2019; 46:64-73. [PMID: 31063939 PMCID: PMC7279069 DOI: 10.1016/j.smrv.2019.03.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 03/18/2019] [Accepted: 03/21/2019] [Indexed: 12/26/2022]
Abstract
Sleep deprivation (SD) is a common problem in modern societies, which leads to cognitive dysfunctions including attention lapses, impaired working memory, hindering decision making, impaired emotional processing, and motor vehicle accidents. Numerous neuroimaging studies have investigated the neural correlates of SD, but these studies have reported inconsistent results. Thus, we aimed to identify convergent patterns of abnormal brain functions due to acute SD. Based on the preferred reporting for systematic reviews and meta-analyses statement, we searched the PubMed database and performed reference tracking and finally retrieved 31 eligible functional neuroimaging studies. Then, we applied activation estimation likelihood meta-analysis and found reduced activity mainly in the right intraparietal sulcus and superior parietal lobule. The functional decoding analysis using the BrainMap database indicated that this region is mostly related to visuospatial perception, memory and reasoning. The significant co-activation of this region using the BrainMap database were found in the left superior parietal lobule, intraparietal sulcus, bilateral occipital cortex, left fusiform gyrus and thalamus. This region also connected with the superior parietal lobule, intraparietal sulcus, insula, inferior frontal gyrus, precentral, occipital and cerebellum through resting-state functional connectivity in healthy subjects. Taken together, our findings highlight the role of superior parietal cortex in SD.
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Affiliation(s)
- Nooshin Javaheripour
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Niloofar Shahdipour
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine (INM-7), Research Center Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; South Texas Veterans Healthcare System University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1; INM-7), Research Center Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1; INM-7), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany
| | - Ivana Rosenzweig
- Sleep Disorders Centre, Guy's and St Thomas' Hospital, GSTT NHS, London, UK; Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College London, London, UK
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Masoud Tahmasian
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
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24
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A dynamic attentional control framework for understanding sleep deprivation effects on cognition. PROGRESS IN BRAIN RESEARCH 2019; 246:111-126. [PMID: 31072558 DOI: 10.1016/bs.pbr.2019.03.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The cognitive effects of sleep loss are often attributed to compromised functioning of the prefrontal cortex (PFC). However, compromised PFC functioning does not account for well-known effects of sleep deprivation on vigilance. Furthermore, the executive attentional control functions associated with the PFC show considerable variability in the effects of sleep deprivation. Evidence from neuroimaging suggests that sleep deprived people are sometimes able to maintain performance on cognitive tasks by increasing PFC activation of task-relevant circuits and by recruiting new circuits not typically involved in a particular cognitive operation. Still, little is known about how such compensatory processes work on a functional level, or what tradeoffs in processing they may entail. We propose a dynamic attentional control framework to bridge the gap between the evidence on sleep deprived neural circuits and cognitive task performance. We review evidence that shows that the pattern of preserved and compromised task performance can be understood in terms of sleep deprivation's influence on frontostriatal circuitry such that the ability to maintain task-relevant information in the focus of attention is relatively spared but the ability to update task-relevant information in response to changing circumstances is more negatively affected. This framework helps account for why some tasks are more affected by SD than others, and why individual differences in the effects of sleep deprivation are task-specific.
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25
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Yang L, Lei Y, Wang L, Chen P, Cheng S, Chen S, Sun J, Li Y, Wang Y, Hu W, Yang Z. Abnormal functional connectivity density in sleep-deprived subjects. Brain Imaging Behav 2019; 12:1650-1657. [PMID: 29488149 DOI: 10.1007/s11682-018-9829-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Sleep deprivation (SD) can alter the intrinsic brain functional organization. However, its effects on intrinsic low-frequency connectivity in the whole brain have not been well characterized. In this study, we used voxel-based functional connectivity density (FCD) analysis to investigate the effects of SD on the spontaneous functional organization of the brain. Thirty-seven healthy participants underwent this within-subject crossover functional magnetic resonance imaging (fMRI) study during rested wakefulness (RW) and after 36 h of total sleep deprivation (TSD). Decreased long-/short-range FCDs were observed in the posterior cingulate cortex, precuneus, inferior parietal lobule, dorsolateral prefrontal cortex, dorsomedial prefrontal cortex, and ventromedial prefrontal cortex. Increased long-/short-range FCDs were found in the sensory integration and arousal regulating areas, including the postcentral gyrus, thalamus, superior temporal gyrus, and occipital-temporal cortex. Moreover, a significant negative correlation was found between the short-range FCD of the PCC and the reaction time of Psychomotor Vigilance Task. In the present study, spontaneous functional organization with significant group-wise differences between RW and TSD sessions was identified. Our findings extend our understanding of the neural mechanism of how brain activity is altered in sleep-deprived individuals.
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Affiliation(s)
- Liu Yang
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China
| | - Yu Lei
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China.,Brain Science Center, Institute of Basic Medical Sciences, Beijing, People's Republic of China
| | - Lubin Wang
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China
| | - Pinhong Chen
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China
| | - Shan Cheng
- School of Aerospace Medicine, Fourth Military Medical University, Xi'an, People's Republic of China
| | - Shanshan Chen
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China
| | - Jicheng Sun
- School of Aerospace Medicine, Fourth Military Medical University, Xi'an, People's Republic of China
| | - Yanyan Li
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China.,Cognitive and Mental Health Research Center, Beijing, People's Republic of China
| | - Yihan Wang
- School of Aerospace Medicine, Fourth Military Medical University, Xi'an, People's Republic of China
| | - Wendong Hu
- School of Aerospace Medicine, Fourth Military Medical University, Xi'an, People's Republic of China.
| | - Zheng Yang
- Beijing Institute of Basic Medical Sciences, Beijing, People's Republic of China. .,Cognitive and Mental Health Research Center, Beijing, People's Republic of China.
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26
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Mahmood Z, Hammond A, Nunez RA, Irwin MR, Thames AD. Effects of Sleep Health on Cognitive Function in HIV+ and HIV- Adults. J Int Neuropsychol Soc 2018; 24:1038-1046. [PMID: 30165914 PMCID: PMC6237632 DOI: 10.1017/s1355617718000607] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES People living with HIV (PLWH) are more likely to report sleep difficulties and cognitive deficits. While cognitive impairment associated with sleep problems have been found in healthy and medical populations, less is known about the effects of poor sleep health (SH) on cognition among PLWH. This study examined differences in cognitive performance among participants classified based upon their HIV status and reported SH. METHODS One hundred sixteen (N=116) adults recruited from the Greater Los Angeles community were administered a comprehensive cognitive test battery and completed a questionnaire about SH. Participants were classified into the following HIV/SH groups: [HIV+/good sleep health (SH+; n=34); HIV-/SH+ (n=32); HIV-/poor sleep health (SH-; n=18) and HIV+/SH- (n=32)]. RESULTS For both HIV+ and HIV- individuals, poor SH was associated with lower cognitive performance, with the domains of learning and memory driving the overall relationship. The HIV+/SH- group had poorer scores in domains of learning and memory compared to the SH+ groups. Additionally, the HIV-/SH- group demonstrated poorer learning compared to the HIV-/SH+ group. CONCLUSIONS Our findings suggest that sleep problems within medical populations are relevant to cognitive functioning, highlighting the clinical and scientific importance of monitoring sleep health and cognition to help identify individuals at greatest risk of poor health outcomes. Longitudinal investigations using both objective and subjective measures of sleep are needed to determine the robustness of the current findings and the enduring effects of poor SH in the context of chronic disease. (JINS, 2018, 24, 1038-1046).
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Affiliation(s)
- Zanjbeel Mahmood
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 740 Westwood Plaza 28-263, Los Angeles, CA 90095
| | - Andrea Hammond
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 740 Westwood Plaza 28-263, Los Angeles, CA 90095
| | - Rodolfo A. Nunez
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 740 Westwood Plaza 28-263, Los Angeles, CA 90095
- Department of Psychology, University of California Los Angeles, Franz Hall, 502 Portola Plaza Los Angeles, CA 90095
| | - Michael R. Irwin
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 740 Westwood Plaza 28-263, Los Angeles, CA 90095
| | - April D. Thames
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 740 Westwood Plaza 28-263, Los Angeles, CA 90095
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27
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Wiggins E, Mottarella M, Good K, Eggleston S, Stevens C. 24-h sleep deprivation impairs early attentional modulation of neural processing: An event-related brain potential study. Neurosci Lett 2018; 677:32-36. [PMID: 29680249 DOI: 10.1016/j.neulet.2018.04.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 03/29/2018] [Accepted: 04/11/2018] [Indexed: 10/17/2022]
Abstract
Prior research indicates sleep deprivation negatively impacts selective attention, although less is known about the neural bases of these effects. The present study used event-related brain potentials (ERPs) to examine whether the effects of total sleep deprivation could be traced to the earliest stages of sensory processing influenced by selective attention. Participants were randomly assigned either to a regular sleep or 24-h total sleep deprivation condition. Following either sleep deprivation or regular sleep, participants completed a dichotic listening selective attention task while ERPs were acquired. Well-rested participants showed typical attentional modulation of the N1 between 150 and 250 msec, with larger amplitude responses to attended relative to unattended auditory probes. In contrast, these effects were significantly reduced in sleep-deprived participants, who did not show significant effects of selective attention on early neural processing. Similar group differences were observed in the later processing negativity, from 300 to 450 msec. Taken together, these results indicate that 24-h total sleep deprivation can significantly reduce, or eliminate, early effects of selective attention on neural processing.
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Affiliation(s)
- Eve Wiggins
- Department of Psychology, Willamette University, 900 State Street, Salem, OR, USA
| | - Malayka Mottarella
- Department of Psychology, Willamette University, 900 State Street, Salem, OR, USA
| | - Kendra Good
- Department of Psychology, Willamette University, 900 State Street, Salem, OR, USA
| | - Seth Eggleston
- Department of Psychology, Willamette University, 900 State Street, Salem, OR, USA
| | - Courtney Stevens
- Department of Psychology, Willamette University, 900 State Street, Salem, OR, USA.
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28
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Zhu Y, Feng Z, Xu J, Fu C, Sun J, Yang X, Shi D, Qin W. Increased interhemispheric resting-state functional connectivity after sleep deprivation: a resting-state fMRI study. Brain Imaging Behav 2017; 10:911-9. [PMID: 26634366 DOI: 10.1007/s11682-015-9490-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Several functional imaging studies have investigated the regional effects of sleep deprivation (SD) on impaired brain function; however, potential changes in the functional interactions between the cerebral hemispheres after SD are not well understood. In this study, we used a recently validated approach, voxel-mirrored homotopic connectivity (VMHC), to directly examine the changes in interhemispheric homotopic resting-state functional connectivity (RSFC) after SD. Resting-state functional MRI (fMRI) was performed in 28 participants both after rest wakefulness (RW) and a total night of SD. An interhemispheric RSFC map was obtained by calculating the Pearson correlation (Fisher Z transformed) between each pair of homotopic voxel time series for each subject in each condition. The between-condition differences in interhemispheric RSFC were then examined at global and voxelwise levels separately. Significantly increased global VMHC was found after sleep deprivation; specifically, a significant increase in VMHC was found in specific brain regions, including the thalamus, paracentral lobule, supplementary motor area, postcentral gyrus and lingual gyrus. No regions showed significantly reduced VMHC after sleep deprivation. Further analysis indicates that these findings did not depend on the various sizes of smoothing kernels that were adopted in the preprocessing steps and that the differences in these regions were still significant with or without global signal regression. Our data suggest that the increased VMHC might reflect the compensatory involvement of bilateral brain areas, especially the bilateral thalamus, to prevent cognitive performance deterioration when sleep pressure is elevated after sleep deprivation. Our findings provide preliminary evidence of interhemispheric correlation changes after SD and contribute to a better understanding of the neural mechanisms of SD.
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Affiliation(s)
- Yuanqiang Zhu
- Sleep and Neuroimage Group, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Zhiyan Feng
- Sleep and Neuroimage Group, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Junling Xu
- Department of Nuclear Medicine, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450000, China.
| | - Chang Fu
- Department of Nuclear Medicine, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450000, China
| | - Jinbo Sun
- Sleep and Neuroimage Group, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Xuejuan Yang
- Sleep and Neuroimage Group, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Dapeng Shi
- Department of Nuclear Medicine, People's Hospital of Zhengzhou University, Zhengzhou, Henan, 450000, China
| | - Wei Qin
- Sleep and Neuroimage Group, School of Life Sciences and Technology, Xidian University, Xi'an, China
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29
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Tüshaus L, Balsters JH, Schläpfer A, Brandeis D, O’Gorman Tuura R, Achermann P. Resisting Sleep Pressure: Impact on Resting State Functional Network Connectivity. Brain Topogr 2017; 30:757-773. [DOI: 10.1007/s10548-017-0575-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 07/06/2017] [Indexed: 12/26/2022]
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30
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Abstract
How does a lack of sleep affect our brains? In contrast to the benefits of sleep, frameworks exploring the impact of sleep loss are relatively lacking. Importantly, the effects of sleep deprivation (SD) do not simply reflect the absence of sleep and the benefits attributed to it; rather, they reflect the consequences of several additional factors, including extended wakefulness. With a focus on neuroimaging studies, we review the consequences of SD on attention and working memory, positive and negative emotion, and hippocampal learning. We explore how this evidence informs our mechanistic understanding of the known changes in cognition and emotion associated with SD, and the insights it provides regarding clinical conditions associated with sleep disruption.
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31
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Poh JH, Chee MWL. Degradation of neural representations in higher visual cortex by sleep deprivation. Sci Rep 2017; 7:45532. [PMID: 28361948 PMCID: PMC5374525 DOI: 10.1038/srep45532] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/01/2017] [Indexed: 11/09/2022] Open
Abstract
A night of total sleep deprivation (TSD) impairs selective attention and is accompanied by attenuated activation within ventral visual cortex (VVC). However, finer details of how TSD compromises selectivity of visual processing remain unclear. Drawing from prior work in cognitive aging, we predicted that TSD would result in dedifferentiation of neural responses for faces and houses within the VVC. Instead, we found preservation of category selectivity. This was observed both in voxels highly selective for each category, and also across multiple voxels evaluated using MVPA. Based on prior findings of impaired attentional modulation following TSD, we also predicted reduced biasing of neural representations towards the attended category when participants viewed ambiguous face/house images. When participants were well rested, attention to houses (or faces) caused activation patterns to more closely resemble those elicited by isolated house (face) images than face (house) images. During TSD, attention to faces enhanced neural similarity to both target (face) and distractor (house) representations, signifying reduced suppression of irrelevant information. Degraded sensory processing reflected in reduced VVC activation following TSD, thus appears to be a result of impaired top-down modulation of sensory representations instead of degraded selectivity of maximally category sensitive voxels, or the dedifferentiation of neural activation patterns.
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Affiliation(s)
- Jia-Hou Poh
- Centre for Cognitive Neuroscience Duke-NUS Medical School, 8 College Road, Singapore, 169857.,NUS Graduate School for Integrative Sciences &Engineering, 28 Medical Drive, Singapore, 117456
| | - Michael W L Chee
- Centre for Cognitive Neuroscience Duke-NUS Medical School, 8 College Road, Singapore, 169857
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32
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Khalsa S, Hale JR, Goldstone A, Wilson RS, Mayhew SD, Bagary M, Bagshaw AP. Habitual sleep durations and subjective sleep quality predict white matter differences in the human brain. Neurobiol Sleep Circadian Rhythms 2017; 3:17-25. [PMID: 31236500 PMCID: PMC6575574 DOI: 10.1016/j.nbscr.2017.03.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 03/17/2017] [Accepted: 03/17/2017] [Indexed: 02/02/2023] Open
Abstract
Self-imposed short sleep durations are increasingly commonplace in society, and have considerable health and performance implications for individuals. Reduced sleep duration over multiple nights has similar behavioural effects to those observed following acute total sleep deprivation, suggesting that lack of sleep affects brain function cumulatively. A link between habitual sleep patterns and functional connectivity has previously been observed, and the effect of sleep duration on the brain's intrinsic functional architecture may provide a link between sleep status and cognition. However, it is currently not known whether differences in habitual sleep patterns across individuals are related to changes in the brain's white matter, which underlies structural connectivity. In the present study we use diffusion–weighted imaging and a group comparison application of tract based spatial statistics (TBSS) to investigate changes to fractional anisotropy (FA) and mean diffusivity (MD) in relation to sleep duration and quality, hypothesising that white matter metrics would be positively associated with sleep duration and quality. Diffusion weighted imaging data was acquired from a final cohort of 33 (23–29 years, 10 female, mean 25.4 years) participants. Sleep patterns were assessed for a 14 day period using wrist actigraphs and sleep diaries, and subjective sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Median splits based on total sleep time and PSQI were used to create groups of shorter/longer and poorer/better sleepers, whose imaging data was compared using TBSS followed by post-hoc correlation analysis in regions identified as significantly different between the groups. There were significant positive correlations between sleep duration and FA in the left orbito-frontal region and the right superior corona radiata, and significant negative correlations between sleep duration and MD in right orbito-frontal white matter and the right inferior longitudinal fasciculus. Improved sleep quality was positively correlated with FA in left caudate nucleus, white matter tracts to the left orbito-frontal region, the left anterior cingulum bundle and the white matter tracts associated with the right operculum and insula, and negatively correlated with MD in left orbito-frontal white matter and the left anterior cingulum bundle. Our findings suggest that reduced cumulative total sleep time (cTST) and poorer subjective sleep quality are associated with subtle white matter micro-architectural changes. The regions we identified as being related to habitual sleep patterns were restricted to the frontal and temporal lobes, and the functions they support are consistent with those which have previously been demonstrated as being affected by short sleep durations (e.g., attention, cognitive control, memory). Examining how inter-individual differences in brain structure are related to habitual sleep patterns could help to shed light on the mechanisms by which sleep habits are associated with brain function, behaviour and cognition, as well as potentially the networks and systems responsible for variations in sleep patterns themselves. Habitual sleep duration and quality are associated with changes to DTI metrics. Shorter duration and poorer quality link with reduced FA and increased MD. Changes are specific to frontal and temporal regions. Changes to brain structure could underlie behavioral effects of sleep.
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Affiliation(s)
- Sakh Khalsa
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK.,Department of Neuropsychiatry, The Barberry National Centre for Mental Health, Birmingham, UK
| | - Joanne R Hale
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK.,Clinical Physics and Bioengineering, University Hospital Coventry and Warwickshire, Coventry, UK
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Rebecca S Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Stephen D Mayhew
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Manny Bagary
- Department of Neuropsychiatry, The Barberry National Centre for Mental Health, Birmingham, UK
| | - Andrew P Bagshaw
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
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33
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Sugimoto M, Takagi T, Suzuki R, Konno N, Asama H, Watanabe K, Nakamura J, Kikuchi H, Waragai Y, Takasumi M, Hikichi T, Ohira H. Influence of night duty on endoscopic therapy for bile duct stones. World J Gastroenterol 2016; 22:9387-9393. [PMID: 27895426 PMCID: PMC5107702 DOI: 10.3748/wjg.v22.i42.9387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 09/06/2016] [Accepted: 10/10/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To examine the influence of night duty (ND) on endoscopic therapy for biliary duct stones.
METHODS The subjects consisted of 133 patients who received initial endoscopic therapy for biliary duct stones performed by eight endoscopists after they had been on (ND group, n = 34 patients) or not [day duty (DD) group, n = 99 patients]. Patient characteristics (age, gender, history of abdominal surgery, transverse diameter of the largest stone, number of stones), years of experience of the endoscopists, endoscopic procedures [sphincterotomy, papillary balloon dilation (EPBD), papillary large balloon dilation (EPLBD)], and outcomes of initial endoscopy (procedure time; rate of stone removal by the first endoscopist; procedure success rate by the first endoscopist: removal of stones or endoscopic retrograde biliary drainage; rate of final stone removal; final procedure success rate; complications; hospitalization after the procedure) were compared retrospectively between the two groups. History of abdominal surgery and treatment outcomes were also compared between the groups for each of the four endoscopists who performed most of the procedures in the ND group.
RESULTS There were no significant differences regarding the number of treatments performed by each endoscopist or the years of experience between the ND and DD groups. The frequency of endoscopic retrograde cholangiopancreatography procedures did not differ significantly between the groups. There were also no significant differences regarding patient characteristics: age, gender, history of abdominal surgery (ND 7: Billroth II 4, R-Y 3; DD 18: double tract reconstruction 1, Billroth I 3, Billroth II 6, R-Y 7, duodenoduodenostomy for annular pancreas 1), transverse diameter of largest stone, and number of stones between the two groups. Among the treatment procedures, the endoscopic sphincterotomy and EPBD rates did not differ significantly between the groups. However, EPLBD was performed more frequently in the ND group [47.1% (16/34) vs 19.2% (19/99)]. Regarding outcomes, there were no significant differences in the rate of stone removal, procedure success rate, complications (ND: pancreatitis 1; DD: pancreatitis 6, duodenal bleeding 1, decreased blood pressure 1, hypoxia 2), or hospitalization after the procedure. However, the procedure time was significantly longer in the ND group (71.5 ± 44.7 vs 54.2 ± 28.8). Among the four endoscopists, there were no significant differences in patient history of abdominal surgery, removal of stones, or procedure success rate. However, the procedure time for one endoscopist was significantly longer in the ND group.
CONCLUSION The time required for endoscopic therapy for bile duct stones might be influenced by ND.
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Kong D, Asplund CL, Ling A, Chee MWL. Increased Automaticity and Altered Temporal Preparation Following Sleep Deprivation. Sleep 2015; 38:1219-27. [PMID: 25845689 DOI: 10.5665/sleep.4896] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 03/04/2015] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES Temporal expectation enables us to focus limited processing resources, thereby optimizing perceptual and motor processing for critical upcoming events. We investigated the effects of total sleep deprivation (TSD) on temporal expectation by evaluating the foreperiod and sequential effects during a psychomotor vigilance task (PVT). We also examined how these two measures were modulated by vulnerability to TSD. DESIGN Three 10-min visual PVT sessions using uniformly distributed foreperiods were conducted in the wake-maintenance zone the evening before sleep deprivation (ESD) and three more in the morning following approximately 22 h of TSD. TSD vulnerable and nonvulnerable groups were determined by a tertile split of participants based on the change in the number of behavioral lapses recorded during ESD and TSD. A subset of participants performed six additional 10-min modified auditory PVTs with exponentially distributed foreperiods during rested wakefulness (RW) and TSD to test the effect of temporal distribution on foreperiod and sequential effects. SETTING Sleep laboratory. PARTICIPANTS There were 172 young healthy participants (90 males) with regular sleep patterns. Nineteen of these participants performed the modified auditory PVT. MEASUREMENTS AND RESULTS Despite behavioral lapses and slower response times, sleep deprived participants could still perceive the conditional probability of temporal events and modify their level of preparation accordingly. Both foreperiod and sequential effects were magnified following sleep deprivation in vulnerable individuals. Only the foreperiod effect increased in nonvulnerable individuals. CONCLUSIONS The preservation of foreperiod and sequential effects suggests that implicit time perception and temporal preparedness are intact during total sleep deprivation. Individuals appear to reallocate their depleted preparatory resources to more probable event timings in ongoing trials, whereas vulnerable participants also rely more on automatic processes.
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Affiliation(s)
- Danyang Kong
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore
| | - Christopher L Asplund
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore.,Division of Social Sciences, Yale-NUS College, Singapore
| | - Aiqing Ling
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore
| | - Michael W L Chee
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore
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Limitations on visual information processing in the sleep-deprived brain and their underlying mechanisms. Curr Opin Behav Sci 2015. [DOI: 10.1016/j.cobeha.2014.10.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Ma N, Dinges DF, Basner M, Rao H. How acute total sleep loss affects the attending brain: a meta-analysis of neuroimaging studies. Sleep 2015; 38:233-40. [PMID: 25409102 DOI: 10.5665/sleep.4404] [Citation(s) in RCA: 150] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 10/15/2014] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES Attention is a cognitive domain that can be severely affected by sleep deprivation. Previous neuroimaging studies have used different attention paradigms and reported both increased and reduced brain activation after sleep deprivation. However, due to large variability in sleep deprivation protocols, task paradigms, experimental designs, characteristics of subject populations, and imaging techniques, there is no consensus regarding the effects of sleep loss on the attending brain. The aim of this meta-analysis was to identify brain activations that are commonly altered by acute total sleep deprivation across different attention tasks. DESIGN Coordinate-based meta-analysis of neuroimaging studies of performance on attention tasks during experimental sleep deprivation. METHODS The current version of the activation likelihood estimation (ALE) approach was used for meta-analysis. The authors searched published articles and identified 11 sleep deprivation neuroimaging studies using different attention tasks with a total of 185 participants, equaling 81 foci for ALE analysis. RESULTS The meta-analysis revealed significantly reduced brain activation in multiple regions following sleep deprivation compared to rested wakefulness, including bilateral intraparietal sulcus, bilateral insula, right prefrontal cortex, medial frontal cortex, and right parahippocampal gyrus. Increased activation was found only in bilateral thalamus after sleep deprivation compared to rested wakefulness. CONCLUSION Acute total sleep deprivation decreases brain activation in the fronto-parietal attention network (prefrontal cortex and intraparietal sulcus) and in the salience network (insula and medial frontal cortex). Increased thalamic activation after sleep deprivation may reflect a complex interaction between the de-arousing effects of sleep loss and the arousing effects of task performance on thalamic activity.
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Affiliation(s)
- Ning Ma
- Center for Functional Neuroimaging, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David F Dinges
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mathias Basner
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Hengyi Rao
- Center for Functional Neuroimaging, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Pedão ST, Aguiar SA, Cunha BP, de Freitas PB. Grip and load force control and coordination in object manipulation during a night of sleep deprivation. Sleep Biol Rhythms 2014. [DOI: 10.1111/sbr.12102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Sabrina Tiago Pedão
- Graduate Program in Human Movement Science; Institute of Physical Activity and Sport Sciences; Cruzeiro do Sul University; São Paulo Brazil
| | - Stefane Aline Aguiar
- Graduate Program in Human Movement Science; Institute of Physical Activity and Sport Sciences; Cruzeiro do Sul University; São Paulo Brazil
| | - Bianca Pinto Cunha
- Graduate Program in Human Movement Science; Institute of Physical Activity and Sport Sciences; Cruzeiro do Sul University; São Paulo Brazil
| | - Paulo Barbosa de Freitas
- Graduate Program in Human Movement Science; Institute of Physical Activity and Sport Sciences; Cruzeiro do Sul University; São Paulo Brazil
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38
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Lennemann LM, Sidrow KM, Johnson EM, Harrison CR, Vojta CN, Walker TB. The influence of agility training on physiological and cognitive performance. J Strength Cond Res 2014; 27:3300-9. [PMID: 23442271 DOI: 10.1519/jsc.0b013e31828ddf06] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Agility training (AT) has recently been instituted in several military communities in hopes of improving combat performance and general fitness. The purpose of this study was to determine how substituting AT for traditional military physical training (PT) influences physical and cognitive performance. Forty-one subjects undergoing military technical training were divided randomly into 2 groups for 6 weeks of training. One group participated in standard military PT consisting of calisthenics and running. A second group duplicated the amount of exercise of the first group but used AT as their primary mode of training. Before and after training, subjects completed a physical and cognitive battery of tests including V[Combining Dot Above]O2max, reaction time, Illinois Agility Test, body composition, visual vigilance, dichotic listening, and working memory tests. There were significant improvements within the AT group in V[Combining Dot Above]O2max, Illinois Agility Test, visual vigilance, and continuous memory. There was a significant increase in time-to-exhaustion for the traditional group. We conclude that AT is as effective or more effective as PT in enhancing physical fitness. Further, it is potentially more effective than PT in enhancing specific measures of physical and cognitive performance, such as physical agility, memory, and vigilance. Consequently, we suggest that AT be incorporated into existing military PT programs as a way to improve war-fighter performance. Further, it seems likely that the benefits of AT observed here occur in various other populations.
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Affiliation(s)
- Lynette M Lennemann
- 1Air Force Research Laboratory, Human Effectiveness Directorate, Brooks City-Base, San Antonio, Texas; and 2Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, Ohio
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Patanaik A, Zagorodnov V, Kwoh CK, Chee MWL. Predicting vulnerability to sleep deprivation using diffusion model parameters. J Sleep Res 2014; 23:576-84. [DOI: 10.1111/jsr.12166] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Accepted: 04/22/2014] [Indexed: 11/27/2022]
Affiliation(s)
- Amiya Patanaik
- School of Computer Engineering; Nanyang Technological University; Singapore Singapore
| | - Vitali Zagorodnov
- School of Computer Engineering; Nanyang Technological University; Singapore Singapore
| | - Chee Keong Kwoh
- School of Computer Engineering; Nanyang Technological University; Singapore Singapore
| | - Michael W. L. Chee
- Cognitive Neuroscience Laboratory; Duke-NUS Graduate Medical School; Singapore Singapore
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40
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Kong D, Asplund CL, Chee MW. Sleep deprivation reduces the rate of rapid picture processing. Neuroimage 2014; 91:169-76. [DOI: 10.1016/j.neuroimage.2014.01.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Revised: 01/17/2014] [Accepted: 01/20/2014] [Indexed: 10/25/2022] Open
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Deguil J, Ravasi L, Auffret A, Babiloni C, Bartres Faz D, Bragulat V, Cassé-Perrot C, Colavito V, Herrero Ezquerro MT, Lamberty Y, Lanteaume L, Pemberton D, Pifferi F, Richardson JC, Schenker E, Blin O, Tarragon E, Bordet R. Evaluation of symptomatic drug effects in Alzheimer's disease: strategies for prediction of efficacy in humans. DRUG DISCOVERY TODAY. TECHNOLOGIES 2014; 10:e329-42. [PMID: 24179995 DOI: 10.1016/j.ddtec.2013.03.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In chronic diseases such as Alzheimer's disease (AD), the arsenal of biomarkers available to determine the effectiveness of symptomatic treatment is very limited. Interpretation of the results provided in literature is cumbersome and it becomes difficult to predict their standardization to a larger patient population. Indeed, cognitive assessment alone does not appear to have sufficient predictive value of drug efficacy in early clinical development of AD treatment. In recent years, research has contributed to the emergence of new tools to assess brain activity relying on innovative technologies of imaging and electrophysiology. However, the relevance of the use of these newer markers in treatment response assessment is waiting for validation. This review shows how the early clinical assessment of symptomatic drugs could benefit from the inclusion of suitable pharmacodynamic markers. This review also emphasizes the importance of re-evaluating a step-by-step strategy in drug development.
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The association of sleep deprivation on the occurrence of errors by nurses who work the night shift. CURRENT HEALTH SCIENCES JOURNAL 2014; 40:97-103. [PMID: 25729589 PMCID: PMC4340449 DOI: 10.12865/chsj.40.02.03] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 02/15/2014] [Indexed: 11/26/2022]
Abstract
Purpose: To determine the influence of sleep deprivation on the occurrence of errors by registered nurses working in night shift in intensive care departments. Methods: The study utilized a multi-part questionnaire which included items about demographic characteristics, reported medical errors, and Pittsburgh Sleep Quality Index (PSQI) 300 questionnaires were distributed to registered nurses working in intensive care departments. 138 of the 153 (51% response rate) collected questionnaires were analyzed using correlation and stepwise logistic multiple regression. Results: Registered nurses who were sleep deprived had worse sleep quality in terms of high PSQI than those who were not. None of the demographic variables was statistically significant, not providing evidence that these variables may explain odds for being sleep deprived in the population. Conclusions: Work schedule changes, offering shorter periods of time on night shift and less working hours in the week may lead to better sleep quality and less sleep deprivation.
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43
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Alberca-Reina E, Cantero JL, Atienza M. Semantic congruence reverses effects of sleep restriction on associative encoding. Neurobiol Learn Mem 2014; 110:27-34. [PMID: 24462718 DOI: 10.1016/j.nlm.2014.01.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 01/14/2014] [Accepted: 01/19/2014] [Indexed: 11/29/2022]
Abstract
Encoding and memory consolidation are influenced by factors such as sleep and congruency of newly learned information with prior knowledge (i.e., schema). However, only a few studies have examined the contribution of sleep to enhancement of schema-dependent memory. Based on previous studies showing that total sleep deprivation specifically impairs hippocampal encoding, and that coherent schemas reduce the hippocampal consolidation period after learning, we predict that sleep loss in the pre-training night will mainly affect schema-unrelated information whereas sleep restriction in the post-training night will have similar effects on schema-related and unrelated information. Here, we tested this hypothesis by presenting participants with face-face associations that could be semantically related or unrelated under different sleep conditions: normal sleep before and after training, and acute sleep restriction either before or after training. Memory was tested one day after training, just after introducing an interference task, and two days later, without any interference. Significant results were evident on the second retesting session. In particular, sleep restriction before training enhanced memory for semantically congruent events in detriment of memory for unrelated events, supporting the specific role of sleep in hippocampal memory encoding. Unexpectedly, sleep restriction after training enhanced memory for both related and unrelated events. Although this finding may suggest a poorer encoding during the interference task, this hypothesis should be specifically tested in future experiments. All together, the present results support a framework in which encoding processes seem to be more vulnerable to sleep loss than consolidation processes.
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Affiliation(s)
- Esther Alberca-Reina
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain
| | - Jose L Cantero
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain
| | - Mercedes Atienza
- Laboratory of Functional Neuroscience, Spanish Network of Excellence for Research on Neurodegenerative Diseases (CIBERNED), Pablo de Olavide University, Seville, Spain.
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Abstract
Fifty-nine adults slept five nights with an Actigraph and answered two questionnaires related to sleeping quality and morningness/eveningness preferences. Next they performed a computerized attention task (the mathematics continuous performance test (MATH-CPT)) to assess various measures of attention. Results showed significant correlations between six attention variables and two measures of sleep assessed by the Actigraph. Linear regression with sleep variables as independent variables, and measures of the computerized test as dependent variables showed that sleep measures explained 30% of the variance of the score in the "final attention formula" of the test, and 27% of the "rate of response."
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Affiliation(s)
- Dubi Lufi
- a Behavioral Sciences, Yezreel Valley College , Yezreel Valley , Israel
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45
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Chee MWL, MBBS, FRCP (Edin). Imaging the Sleep Deprived Brain: A Brief Review. ACTA ACUST UNITED AC 2013. [DOI: 10.13078/jksrs.13001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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46
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Asplund CL, Chee MWL. Time-on-task and sleep deprivation effects are evidenced in overlapping brain areas. Neuroimage 2013; 82:326-35. [PMID: 23747456 DOI: 10.1016/j.neuroimage.2013.05.119] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Revised: 05/08/2013] [Accepted: 05/26/2013] [Indexed: 01/13/2023] Open
Abstract
Both sleep deprivation and extended task engagement (time-on-task) have been shown to degrade performance in tasks evaluating sustained attention. Here we used pulsed arterial spin labeling (pASL) to study participants engaged in a demanding selective attention task. The participants were imaged twice, once after a normal night of sleep and once after approximately 24h of total sleep deprivation. We compared task-related changes in BOLD signal alongside ASL-based cerebral blood flow (CBF) changes. We also collected resting baseline CBF data prior to and following task performance. Both BOLD fMRI and ASL identified spatially congruent task activation in ventral visual cortex and fronto-parietal regions. Sleep deprivation and time-on-task caused a decline of both measures in ventral visual cortex. BOLD fMRI also revealed such declines in fronto-parietal cortex. Only early visual cortex showed a significant upward shift in resting baseline CBF following sleep deprivation, suggesting that the neural consequences of both SD and ToT are primarily evident in task-evoked signals. We conclude that BOLD fMRI is preferable to pASL in studies evaluating sleep deprivation given its better signal to noise characteristics and the relative paucity of state differences in baseline CBF.
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Affiliation(s)
- Christopher L Asplund
- Centre for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore, Singapore
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47
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Wee N, Asplund CL, Chee MWL. Sleep deprivation accelerates delay-related loss of visual short-term memories without affecting precision. Sleep 2013; 36:849-56. [PMID: 23729928 DOI: 10.5665/sleep.2710] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES Visual short-term memory (VSTM) is an important measure of information processing capacity and supports many higher-order cognitive processes. We examined how sleep deprivation (SD) and maintenance duration interact to influence the number and precision of items in VSTM using an experimental design that limits the contribution of lapses at encoding. DESIGN For each trial, participants attempted to maintain the location and color of three stimuli over a delay. After a retention interval of either 1 or 10 seconds, participants reported the color of the item at the cued location by selecting it on a color wheel. The probability of reporting the probed item, the precision of report, and the probability of reporting a nonprobed item were determined using a mixture-modeling analysis. Participants were studied twice in counterbalanced order, once after a night of normal sleep and once following a night of sleep deprivation. SETTING Sleep laboratory. PARTICIPANTS Nineteen healthy college age volunteers (seven females) with regular sleep patterns. INTERVENTIONS Approximately 24 hours of total SD. MEASUREMENTS AND RESULTS SD selectively reduced the number of integrated representations that can be retrieved after a delay, while leaving the precision of object information in the stored representations intact. Delay interacted with SD to lower the rate of successful recall. CONCLUSIONS Visual short-term memory is compromised during sleep deprivation, an effect compounded by delay. However, when memories are retrieved, they tend to be intact.
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Affiliation(s)
- Natalie Wee
- Center for Cognitive Neuroscience, Duke-NUS Graduate Medical School Singapore, Singapore
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48
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Piantoni G, Cheung BLP, Van Veen BD, Romeijn N, Riedner BA, Tononi G, Van Der Werf YD, Van Someren EJW. Disrupted directed connectivity along the cingulate cortex determines vigilance after sleep deprivation. Neuroimage 2013; 79:213-22. [PMID: 23643925 DOI: 10.1016/j.neuroimage.2013.04.103] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2012] [Revised: 04/25/2013] [Accepted: 04/26/2013] [Indexed: 11/19/2022] Open
Abstract
The cingulate cortex is regarded as the backbone of structural and functional connectivity of the brain. While its functional connectivity has been intensively studied, little is known about its effective connectivity, its modulation by behavioral states, and its involvement in cognitive performance. Given the previously reported effects on cingulate functional connectivity, we investigated how eye-closure and sleep deprivation changed cingulate effective connectivity, estimated from resting-state high-density electroencephalography (EEG) using a novel method to calculate Granger Causality directly in source space. Effective connectivity along the cingulate cortex was dominant in the forward direction. Eyes-open connectivity in the forward direction was greater compared to eyes-closed, in well-rested participants. The difference between eyes-open and eyes-closed connectivity was attenuated and no longer significant after sleep deprivation. Individual variability in the forward connectivity after sleep deprivation predicted subsequent task performance, such that those subjects who showed a greater increase in forward connectivity between the eyes-open and the eyes-closed periods also performed better on a sustained attention task. Effective connectivity in the opposite, backward, direction was not affected by whether the eyes were open or closed or by sleep deprivation. These findings indicate that the effective connectivity from posterior to anterior cingulate regions is enhanced when a well-rested subject has his eyes open compared to when they are closed. Sleep deprivation impairs this directed information flow, proportional to its deleterious effect on vigilance. Therefore, sleep may play a role in the maintenance of waking effective connectivity.
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Affiliation(s)
- Giovanni Piantoni
- Dept of Sleep and Cognition, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105BA Amsterdam, The Netherlands.
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Goel N, Basner M, Rao H, Dinges DF. Circadian rhythms, sleep deprivation, and human performance. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2013; 119:155-90. [PMID: 23899598 DOI: 10.1016/b978-0-12-396971-2.00007-5] [Citation(s) in RCA: 215] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Much of the current science on, and mathematical modeling of, dynamic changes in human performance within and between days is dominated by the two-process model of sleep-wake regulation, which posits a neurobiological drive for sleep that varies homeostatically (increasing as a saturating exponential during wakefulness and decreasing in a like manner during sleep), and a circadian process that neurobiologically modulates both the homeostatic drive for sleep and waking alertness and performance. Endogenous circadian rhythms in neurobehavioral functions, including physiological alertness and cognitive performance, have been demonstrated using special laboratory protocols that reveal the interaction of the biological clock with the sleep homeostatic drive. Individual differences in circadian rhythms and genetic and other components underlying such differences also influence waking neurobehavioral functions. Both acute total sleep deprivation and chronic sleep restriction increase homeostatic sleep drive and degrade waking neurobehavioral functions as reflected in sleepiness, attention, cognitive speed, and memory. Recent evidence indicating a high degree of stability in neurobehavioral responses to sleep loss suggests that these trait-like individual differences are phenotypic and likely involve genetic components, including circadian genes. Recent experiments have revealed both sleep homeostatic and circadian effects on brain metabolism and neural activation. Investigation of the neural and genetic mechanisms underlying the dynamically complex interaction between sleep homeostasis and circadian systems is beginning. A key goal of this work is to identify biomarkers that accurately predict human performance in situations in which the circadian and sleep homeostatic systems are perturbed.
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Affiliation(s)
- Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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McLaren DG, Ries ML, Xu G, Johnson SC. A generalized form of context-dependent psychophysiological interactions (gPPI): a comparison to standard approaches. Neuroimage 2012; 61:1277-86. [PMID: 22484411 DOI: 10.1016/j.neuroimage.2012.03.068] [Citation(s) in RCA: 1011] [Impact Index Per Article: 84.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2011] [Revised: 03/02/2012] [Accepted: 03/22/2012] [Indexed: 10/28/2022] Open
Abstract
Functional MRI (fMRI) allows one to study task-related regional responses and task-dependent connectivity analysis using psychophysiological interaction (PPI) methods. The latter affords the additional opportunity to understand how brain regions interact in a task-dependent manner. The current implementation of PPI in Statistical Parametric Mapping (SPM8) is configured primarily to assess connectivity differences between two task conditions, when in practice fMRI tasks frequently employ more than two conditions. Here we evaluate how a generalized form of context-dependent PPI (gPPI; http://www.nitrc.org/projects/gppi), which is configured to automatically accommodate more than two task conditions in the same PPI model by spanning the entire experimental space, compares to the standard implementation in SPM8. These comparisons are made using both simulations and an empirical dataset. In the simulated dataset, we compare the interaction beta estimates to their expected values and model fit using the Akaike information criterion (AIC). We found that interaction beta estimates in gPPI were robust to different simulated data models, were not different from the expected beta value, and had better model fits than when using standard PPI (sPPI) methods. In the empirical dataset, we compare the model fit of the gPPI approach to sPPI. We found that the gPPI approach improved model fit compared to sPPI. There were several regions that became non-significant with gPPI. These regions all showed significantly better model fits with gPPI. Also, there were several regions where task-dependent connectivity was only detected using gPPI methods, also with improved model fit. Regions that were detected with all methods had more similar model fits. These results suggest that gPPI may have greater sensitivity and specificity than standard implementation in SPM. This notion is tempered slightly as there is no gold standard; however, data simulations with a known outcome support our conclusions about gPPI. In sum, the generalized form of context-dependent PPI approach has increased flexibility of statistical modeling, and potentially improves model fit, specificity to true negative findings, and sensitivity to true positive findings.
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Affiliation(s)
- Donald G McLaren
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA.
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