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1
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Yang Y, Yang C, Guo C, Mu L. The impact of total sleep deprivation on attentional networks and its neural mechanisms: Based on the Attention Network Test. Behav Brain Res 2025; 484:115513. [PMID: 40015343 DOI: 10.1016/j.bbr.2025.115513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 02/22/2025] [Accepted: 02/24/2025] [Indexed: 03/01/2025]
Abstract
Sleep deprivation, both daily and occupational, has become a prevalent issue in modern society, significantly affecting individuals' attention functions. Traditionally, attention was viewed as a singular, unified system, but advances in neuroscience have revealed it as a network involving coordinated interactions across multiple brain regions. Posner and Petersen's Attention Network Theory delineates three distinct subcomponents - alerting, orienting, and executive control - based on anatomical localization and neurobiochemical mechanisms. However, most studies on sleep deprivation often overlook these subcomponents, treating attention as a generalized process. This paper aims to address this gap by investigating the effects of total sleep deprivation (TSD) on these attentional subcomponents and their potential neural mechanisms focusing on both the general healthy population and specific occupational groups. Using the Attention Network Test (ANT) paradigm and its variants, the findings reveal that TSD differentially affects the three subcomponents of attentional networks, with occupation-specific differences. Notably, the impact of TSD on executive control exhibits greater variability. The state instability hypothesis and local sleep theory are proposed to explain these neural mechanisms, suggesting that TSD disrupts attentional networks through an interplay of top-down state instability and bottom-up local sleep processes. Future research should refine experimental paradigms related to attentional networks, integrate cognitive neuroscience methodologies and computational modeling approaches, and expand investigations into sleep restriction. Such advancements will provide a more comprehensive understanding of how TSD affects attentional networks and further elucidate the interplay between the state instability hypothesis and local sleep theory.
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Affiliation(s)
- Ying Yang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - Chen Yang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - Changnan Guo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - Li Mu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China.
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2
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Ding X, Cao F, Li M, Yang Z, Tang Y. Electroencephalography Microstate Class D is a Brain Marker of Subjective Sleep Quality for College Students with High Habitual Sleep Efficiency. Brain Topogr 2024; 37:370-376. [PMID: 37382840 DOI: 10.1007/s10548-023-00978-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/12/2023] [Indexed: 06/30/2023]
Abstract
Subjective sleep quality is an individual's subjective sleep feeling, and its effective evaluation is the premise of improving sleep quality. However, people with autism or mental disorders often experience difficulties in verbally expressing their subjective sleep quality. To solve the above problem, this study provides a non-verbal and convenient brain feature to assess subjective sleep quality. Reportedly, microstates are often used to characterize the patterns of functional brain activity in humans. The occurrence frequency of microstate class D is an important feature in the insomnia population. We therefore hypothesize that the occurrence frequency of microstate class D is a physiological indicator of subjective sleep quality. To test this hypothesis, we recruited college students from China as participants [N = 61, mean age = 20.84 years]. The Chinese version of the Pittsburgh Sleep Quality Index scale was used to measure subjective sleep quality and habitual sleep efficiency, and the state characteristics of the brain at this time were assessed using closed eyes resting-state brain microstate class D. The occurrence frequency of EEG microstate class D was positively associated with subjective sleep quality (r = 0.32, p < 0.05). Further analysis of the moderating effect showed that the occurrence frequency of microstate class D was significantly and positively correlated with subjective sleep quality in the high habitual sleep efficiency group. However, the relationship was not significant in the low sleep efficiency group (βsimple = 0.63, p < 0.001). This study shows that the occurrence frequency of microstate class D is a physiological indicator of assessing subjective sleep quality levels in the high sleep efficiency group. This study provides brain features for assessing subjective sleep quality of people with autism and mental disorders who cannot effectively describe their subjective feelings.
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Affiliation(s)
- Xiaoqian Ding
- College of Psychology, Liaoning Normal University, Dalian, 116029, China
| | - Fengzhi Cao
- College of Psychology, Liaoning Normal University, Dalian, 116029, China
| | - Menghan Li
- College of Psychology, Liaoning Normal University, Dalian, 116029, China
| | - Zirong Yang
- Department of Gastroenterology, Affiliated Zhongshan Hospital of Dalian University, Dalian, 116001, China
| | - Yiyuan Tang
- College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA.
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3
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Tzischinsky O, Barel E. The Role of Sleep for Age-Related Differences in Neurobehavioral Performance. Life (Basel) 2024; 14:496. [PMID: 38672766 PMCID: PMC11051144 DOI: 10.3390/life14040496] [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: 03/11/2024] [Revised: 04/02/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
This study investigated developmental changes from childhood to adulthood in neurobehavioral performance and sleep measures. While many studies have examined age-related changes between childhood and adolescence and from mid-to-late adulthood, young adulthood has been overlooked. The main aim of this study was to investigate the effects of sleep loss on developmental changes in neurobehavioral performance and sleepiness in a natural setting. A total of 119 children, adolescents, and young adults (38 children aged 6-9; 38 adolescents aged 13-19; and 43 young adults aged 20-27) wore an actigraph for a continuous five-weekday night. Subjective sleepiness (Karolinska Sleepiness Scale) and neurobehavioral performance (using the psychomotor vigilance test and the digit symbol substitution test) were measured on five school days. The results showed that adolescents and young adults outperformed children on both the digit symbol substitution test and the psychomotor vigilance test measures. However, adolescents committed more errors of commission on the psychomotor vigilance test and reported higher levels of subjective sleepiness. The results are discussed in relation to brain maturation in various cognitive functions.
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Affiliation(s)
- Orna Tzischinsky
- Department of Behavioral Sciences and the Center for Psychobiological Research, The Max Stern Academic College of Emek Yezreel, Emek Yezreel 1930600, Israel
| | - Efrat Barel
- School of Psychological Sciences, University of Haifa, Haifa 3103301, Israel;
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4
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Ivanov I, Miraglia B, Prodanova D, Newcorn JH. Sleep Disordered Breathing and Risk for ADHD: Review of Supportive Evidence and Proposed Underlying Mechanisms. J Atten Disord 2024; 28:686-698. [PMID: 38353411 DOI: 10.1177/10870547241232313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
BACKGROUND Accumulating evidence suggests that sleep disordered breathing (SDB) is under-recognized in youth and adults with ADHD. SDB may contribute to exacerbating pre-existing ADHD symptoms and may play a role in the development of cognitive deficits that may mimic ADHD symptoms. METHOD We conducted a focused review of publications on cross-prevalence, overlapping clinical and neurobiological characteristics and possible mechanisms linking SDB and ADHD. RESULTS Exiting studies suggest that co-occurrence of SDB and ADHD is as high as 50%, with frequent overlap of clinical symptoms such as distractibility and inattention. Mechanisms linking these conditions may include hypoxia during sleep, sleep fragmentation and activation of inflammation, all of which may affect brain structure and physiology to produce disturbances in attention. CONCLUSIONS The relationship between SDB and ADHD symptoms appear well-supported and suggests that more research is needed to better optimize procedures for SDB assessment in youth being evaluated and/or treated for ADHD.
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5
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Mummaneni A, Kardan O, Stier AJ, Chamberlain TA, Chao AF, Berman MG, Rosenberg MD. Functional brain connectivity predicts sleep duration in youth and adults. Hum Brain Mapp 2023; 44:6293-6307. [PMID: 37916784 PMCID: PMC10681648 DOI: 10.1002/hbm.26488] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 08/22/2023] [Accepted: 09/04/2023] [Indexed: 11/03/2023] Open
Abstract
Sleep is critical to a variety of cognitive functions and insufficient sleep can have negative consequences for mood and behavior across the lifespan. An important open question is how sleep duration is related to functional brain organization which may in turn impact cognition. To characterize the functional brain networks related to sleep across youth and young adulthood, we analyzed data from the publicly available Human Connectome Project (HCP) dataset, which includes n-back task-based and resting-state fMRI data from adults aged 22-35 years (task n = 896; rest n = 898). We applied connectome-based predictive modeling (CPM) to predict participants' mean sleep duration from their functional connectivity patterns. Models trained and tested using 10-fold cross-validation predicted self-reported average sleep duration for the past month from n-back task and resting-state connectivity patterns. We replicated this finding in data from the 2-year follow-up study session of the Adolescent Brain Cognitive Development (ABCD) Study, which also includes n-back task and resting-state fMRI for adolescents aged 11-12 years (task n = 786; rest n = 1274) as well as Fitbit data reflecting average sleep duration per night over an average duration of 23.97 days. CPMs trained and tested with 10-fold cross-validation again predicted sleep duration from n-back task and resting-state functional connectivity patterns. Furthermore, demonstrating that predictive models are robust across independent datasets, CPMs trained on rest data from the HCP sample successfully generalized to predict sleep duration in the ABCD Study sample and vice versa. Thus, common resting-state functional brain connectivity patterns reflect sleep duration in youth and young adults.
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Affiliation(s)
| | - Omid Kardan
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Department of PsychiatryUniversity of MichiganAnn ArborMichiganUSA
| | - Andrew J. Stier
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
| | - Taylor A. Chamberlain
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Department of PsychologyColumbia UniversityNew YorkNew YorkUSA
| | - Alfred F. Chao
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
| | - Marc G. Berman
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Neuroscience InstituteThe University of ChicagoChicagoIllinoisUSA
| | - Monica D. Rosenberg
- Department of PsychologyThe University of ChicagoChicagoIllinoisUSA
- Neuroscience InstituteThe University of ChicagoChicagoIllinoisUSA
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6
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Lian J, Xu L, Song T, Peng Z, Zhang Z, An X, Chen S, Zhong X, Shao Y. Reduced Resting-State EEG Power Spectra and Functional Connectivity after 24 and 36 Hours of Sleep Deprivation. Brain Sci 2023; 13:949. [PMID: 37371427 DOI: 10.3390/brainsci13060949] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Total sleep deprivation (TSD) leads to cognitive decline; however, the neurophysiological mechanisms underlying resting-state electroencephalogram (EEG) changes after TSD remain unclear. In this study, 42 healthy adult participants were subjected to 36 h of sleep deprivation (36 h TSD), and resting-state EEG data were recorded at baseline, after 24 h of sleep deprivation (24 h TSD), and after 36 h TSD. The analysis of resting-state EEG at baseline, after 24 h TSD, and after 36 h TSD using source localization analysis, power spectrum analysis, and functional connectivity analysis revealed a decrease in alpha-band power and a significant increase in delta-band power after TSD and impaired functional connectivity in the default mode network, precuneus, and inferior parietal lobule. The cortical activities of the precuneus, inferior parietal lobule, and superior parietal lobule were significantly reduced, but no difference was found between the 24 h and 36 h TSD groups. This may indicate that TSD caused some damage to the participants, but this damage temporarily slowed during the 24 h to 36 h TSD period.
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Affiliation(s)
- Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Tao Song
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Zheyuan Zhang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xin An
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Shufang Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
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7
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Stenson AR, Whitney P, Hinson JM, Hansen DA, Lawrence-Sidebottom D, Skeiky L, Riedy SM, Kurinec CA, Van Dongen HPA. Effects of total sleep deprivation on components of top-down attentional control using a flexible attentional control task. J Sleep Res 2023; 32:e13744. [PMID: 36205178 DOI: 10.1111/jsr.13744] [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: 05/10/2022] [Revised: 07/28/2022] [Accepted: 09/19/2022] [Indexed: 11/30/2022]
Abstract
Sleep deprivation consistently decreases vigilant attention, which can lead to difficulty in performing a variety of cognitive tasks. However, sleep-deprived individuals may be able to compensate for degraded vigilant attention by means of top-down attentional control. We employed a novel task to measure the degree to which individuals overcome impairments in vigilant attention by using top-down attentional control, the Flexible Attentional Control Task (FACT). The FACT is a two-choice task that has trials with valid, invalid, and neutral cues, along with an unexpected switch in the probability of cue validity about halfway in the task. The task provides indices that isolate performance components reflecting vigilant attention and top-down attentional control. Twelve healthy young adults completed an in-laboratory study. After a baseline day, the subjects underwent 39 hours of total sleep deprivation (TSD), followed by a recovery day. The FACT was administered at 03:00, 11:00, and 19:00 during sleep deprivation (TSD condition) and at 11:00 and 19:00 after baseline sleep and at 11:00 after recovery sleep (rested condition). When rested, the subjects demonstrated both facilitation and interference effects on cued trials. While sleep deprived, the subjects showed vigilant attention deficits on neutral cue trials, and an impaired ability to reduce these deficits by using predictive contextual cues. Our results indicate that the FACT can dissociate vigilant attention from top-down attentional control. Furthermore, they show that during sleep deprivation, contextual cues help individuals to compensate partially for impairments in vigilant attention, but the effectiveness of top-down attentional control is diminished.
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Affiliation(s)
- Anthony R Stenson
- Department of Psychology, Washington State University, Pullman, Washington, USA
| | - Paul Whitney
- Department of Psychology, Washington State University, Pullman, Washington, USA.,Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA
| | - John M Hinson
- Department of Psychology, Washington State University, Pullman, Washington, USA.,Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA
| | - Devon A Hansen
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | | | - Lillian Skeiky
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Samantha M Riedy
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA
| | - Courtney A Kurinec
- Department of Psychology, Washington State University, Pullman, Washington, USA.,Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, Washington, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
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8
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Barel E, Tzischinsky O. The Role of Sleep Patterns from Childhood to Adolescence in Vigilant Attention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14432. [PMID: 36361313 PMCID: PMC9657444 DOI: 10.3390/ijerph192114432] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/30/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Only a few studies addressed age-related changes from childhood to adolescence in sleep patterns, sleepiness, and attention. Vigilant attention plays a key role in cognitive performance. While its nature and course have been investigated broadly among adults, only limited research has been conducted on its development between childhood and adolescence. The main aim of the current study was to replicate previous findings about the effects of sleep loss on age-related changes in vigilance attention performance and sleepiness in a natural setting. A total of 104 children and adolescents (46 children aged 6-9 and 58 adolescents aged 13-19) wore an actigraph for a continuous five to seven nights, including weekdays and weekends. Subjective sleepiness (Karolinska Sleepiness Scale) and a Psychomotor Vigilance Test (PVT-B) were measured on two school days and one non-school day. Findings showed that PVT-B performance differed by age group, with adolescents outperforming children in PVT-B measures in spite of their elevated subjective sleepiness. Adolescents demonstrated less sleep time and increased sleepiness. Although PVT-B performance was better among adolescents, a within-subject analysis revealed that adolescents performed better on PVT measures on weekends than on weekdays. The results are discussed in relation to the synaptic elimination model.
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9
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Balter LJT, Matheson GJ, Sundelin T, Sterzer P, Petrovic P, Axelsson J. Experimental Sleep Deprivation Results in Diminished Perceptual Stability Independently of Psychosis Proneness. Brain Sci 2022; 12:1338. [PMID: 36291272 PMCID: PMC9599202 DOI: 10.3390/brainsci12101338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 09/07/2024] Open
Abstract
Psychotic disorders as well as psychosis proneness in the general population have been associated with perceptual instability, suggesting weakened predictive processing. Sleep disturbances play a prominent role in psychosis and schizophrenia, but it is unclear whether perceptual stability diminishes with sleep deprivation, and whether the effects of sleep deprivation differ as a function of psychosis proneness. In the current study, we aimed to clarify this matter. In this preregistered study, 146 participants successfully completed an intermittent version of the random dot kinematogram (RDK) task and the 21-item Peters Delusion Inventory (PDI-21) to assess perceptual stability and psychosis proneness, respectively. Participants were randomized to sleep either as normal (8 to 9 h in bed) (n = 72; Mage = 24.7, SD = 6.2, 41 women) or to stay awake through the night (n = 74; Mage = 24.8, SD = 5.1, 44 women). Sleep deprivation resulted in diminished perceptual stability, as well as in decreases in perceptual stability over the course of the task. However, we did not observe any association between perceptual stability and PDI-21 scores, nor a tendency for individuals with higher PDI-21 scores to be more vulnerable to sleep-deprivation-induced decreases in perceptual stability. The present study suggests a compromised predictive processing system in the brain after sleep deprivation, but variation in psychosis trait is not related to greater vulnerability to sleep deprivation in our dataset. Further studies in risk groups and patients with psychosis are needed to evaluate whether sleep loss plays a role in the occurrence of objectively measured perceptual-related clinical symptoms.
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Affiliation(s)
- Leonie J. T. Balter
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, 106 91 Stockholm, Sweden
| | - Granville J. Matheson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Molecular Imaging and Neuropathology Division, Department of Psychiatry, Columbia University, New York, NY 10032, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Tina Sundelin
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, 106 91 Stockholm, Sweden
| | - Philipp Sterzer
- University Psychiatric Clinics Basel, University of Basel, 4002 Basel, Switzerland
| | - Predrag Petrovic
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Cognitive and Computational Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - John Axelsson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, 106 91 Stockholm, Sweden
- Center for Cognitive and Computational Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
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10
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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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11
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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: 15] [Impact Index Per Article: 5.0] [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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12
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Orna T, Efrat B. Sleep Loss, Daytime Sleepiness, and Neurobehavioral Performance among Adolescents: A Field Study. Clocks Sleep 2022; 4:160-171. [PMID: 35323169 PMCID: PMC8947444 DOI: 10.3390/clockssleep4010015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 02/22/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022] Open
Abstract
The current study investigates the impact of sleep loss on neurobehavioral functioning and sleepiness in a natural setting among healthy adolescents. Fifty-nine adolescents (32 females) from grades 7 to 12 (mean age of 16.29 ± 1.86 years) participated in the study. All participants wore the actigraph for a continuous five to seven days, including school and nonschool days. Subjective sleepiness and neurobehavioral performance (using the psychomotor vigilance test and the digit symbol substitution test) were measured three times a day on two school days and one nonschool day. The results presented that sleep loss influenced subjective sleepiness reports, showing higher sleepiness scores following sleep loss than following sufficient night sleep. Neurobehavioral functioning across all measurements was also significantly worse following sleep loss. Furthermore, participants performed worse on weekday morning assessments than on assessments at other times of the day following sleep loss. These findings suggest that sleep loss in natural settings has a significant impact on neurobehavioral performance and subjective sleepiness. Our findings have essential implications for public policy on school schedules.
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13
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Brunyé TT, Yau K, Okano K, Elliott G, Olenich S, Giles GE, Navarro E, Elkin-Frankston S, Young AL, Miller EL. Toward Predicting Human Performance Outcomes From Wearable Technologies: A Computational Modeling Approach. Front Physiol 2021; 12:738973. [PMID: 34566701 PMCID: PMC8458818 DOI: 10.3389/fphys.2021.738973] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 08/18/2021] [Indexed: 12/16/2022] Open
Abstract
Wearable technologies for measuring digital and chemical physiology are pervading the consumer market and hold potential to reliably classify states of relevance to human performance including stress, sleep deprivation, and physical exertion. The ability to efficiently and accurately classify physiological states based on wearable devices is improving. However, the inherent variability of human behavior within and across individuals makes it challenging to predict how identified states influence human performance outcomes of relevance to military operations and other high-stakes domains. We describe a computational modeling approach to address this challenge, seeking to translate user states obtained from a variety of sources including wearable devices into relevant and actionable insights across the cognitive and physical domains. Three status predictors were considered: stress level, sleep status, and extent of physical exertion; these independent variables were used to predict three human performance outcomes: reaction time, executive function, and perceptuo-motor control. The approach provides a complete, conditional probabilistic model of the performance variables given the status predictors. Construction of the model leverages diverse raw data sources to estimate marginal probability density functions for each of six independent and dependent variables of interest using parametric modeling and maximum likelihood estimation. The joint distributions among variables were optimized using an adaptive LASSO approach based on the strength and directionality of conditional relationships (effect sizes) derived from meta-analyses of extant research. The model optimization process converged on solutions that maintain the integrity of the original marginal distributions and the directionality and robustness of conditional relationships. The modeling framework described provides a flexible and extensible solution for human performance prediction, affording efficient expansion with additional independent and dependent variables of interest, ingestion of new raw data, and extension to two- and three-way interactions among independent variables. Continuing work includes model expansion to multiple independent and dependent variables, real-time model stimulation by wearable devices, individualized and small-group prediction, and laboratory and field validation.
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Affiliation(s)
- Tad T Brunyé
- Cognitive Science Team, US Army DEVCOM Soldier Center, Natick, MA, United States.,Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Kenny Yau
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Kana Okano
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Grace Elliott
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Sara Olenich
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Grace E Giles
- Cognitive Science Team, US Army DEVCOM Soldier Center, Natick, MA, United States.,Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Ester Navarro
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Seth Elkin-Frankston
- Cognitive Science Team, US Army DEVCOM Soldier Center, Natick, MA, United States.,Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States
| | - Alexander L Young
- Department of Statistics, Harvard University, Cambridge, MA, United States
| | - Eric L Miller
- Center for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, United States.,Department of Electrical and Computer Engineering, Tufts University, Medford, MA, United States
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14
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Keller AS, Ball TM, Williams LM. Deep phenotyping of attention impairments and the 'Inattention Biotype' in Major Depressive Disorder. Psychol Med 2020; 50:2203-2212. [PMID: 31477195 PMCID: PMC8022888 DOI: 10.1017/s0033291719002290] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Attention impairment is an under-investigated feature and diagnostic criterion of Major Depressive Disorder (MDD) that is associated with poorer outcomes. Despite increasing knowledge regarding mechanisms of attention in healthy adults, we lack a detailed characterization of attention impairments and their neural signatures in MDD. METHODS Here, we focus on selective attention and advance a deep multi-modal characterization of these impairments in MDD, using data acquired from n = 1008 patients and n = 336 age- and sex-matched healthy controls. Selective attention impairments were operationalized and anchored in a behavioral performance measure, assessed within a battery of cognitive tests. We sought to establish the accompanying neural signature using independent measures of functional magnetic resonance imaging (15% of the sample) and electroencephalographic recordings of oscillatory neural activity. RESULTS Greater impairment on the behavioral measure of selective attention was associated with intrinsic hypo-connectivity of the fronto-parietal attention network. Not only was this relationship specific to the fronto-parietal network unlike other large-scale networks; this hypo-connectivity was also specific to selective attention performance unlike other measures of cognition. Selective attention impairment was also associated with lower posterior alpha (8-13 Hz) power at rest and was related to more severe negative bias (frequent misidentifications of neutral faces as sad and lingering attention on sad faces), relevant to clinical features of negative attributions and brooding. Selective attention impairments were independent of overall depression severity and of worrying or sleep problems. CONCLUSIONS These results provide a foundation for the clinical translational development of objective markers and targeted therapeutics for attention impairment in MDD.
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Affiliation(s)
- Arielle S Keller
- Graduate Program in Neurosciences, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Tali M Ball
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- MIRECC, VA Palo Alto Health Care System, Palo Alto, CA, USA
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15
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You Snooze, You Win? An Ecological Dynamics Framework Approach to Understanding the Relationships Between Sleep and Sensorimotor Performance in Sport. Sleep Med Clin 2020; 15:31-39. [PMID: 32005348 DOI: 10.1016/j.jsmc.2019.11.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Sleep has a widespread impact across different domains of performance, including sensorimotor function. From an ecological dynamics perspective, sensorimotor function involves the continuous and dynamic coupling between perception and action. Sport performance relies on sensorimotor function as successful movement behaviors require accurate and efficient coupling between perceptions and actions. Compromised sleep impairs different aspects of sensorimotor performance, including perceptual attunement and motor execution. Changes in sensorimotor performance can be related to specific features of sleep, notably sleep spindles and slow waves. One unaddressed area of study is the extent to which specific sleep features contribute to overall sport-specific performance.
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16
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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: 0.5] [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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17
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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: 4.2] [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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18
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Lau EYY, Wong ML, Rusak B, Lam YC, Wing YK, Tseng CH, Lee TMC. The coupling of short sleep duration and high sleep need predicts riskier decision making. Psychol Health 2019; 34:1196-1213. [PMID: 30966760 DOI: 10.1080/08870446.2019.1594807] [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] [Indexed: 01/20/2023]
Abstract
Objective: To examine how risk-related decision making might be associated with habitual sleep variables, including sleep variability, sleep duration and perceived sleep need in young adults cross-sectionally and longitudinally. Design: 166 participants completed a 7-day protocol with sleep and risk-related decision-making measures at baseline (T1) and 12 months later (T2). Results: Habitual short sleep duration (averaging < 6 h nightly) was identified in 11.0% in our sample. After controlling for baseline demographic factors and risk-taking measures, self-reported sleep need at T1 interacted with habitual short sleep in predicting risk taking at follow-up (F8,139=9.575, adjusted R2=.431, p<.001). T1 greater perceived sleep need predicted more risk taking among short sleepers, but decreased risk taking among normal sleepers at T2. Variable sleep timing was cross-sectionally correlated with making more Risky choices at baseline and fewer Safe choices after loss at follow up. Conclusions: Young adults with variable sleep timing and those with short sleep duration coupled with high perceived sleep need were more likely to take risks. The moderating effects of perceived sleep need suggest that individual differences may alter the impact of sleep loss and hence should be measured and accounted for in future studies.
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Affiliation(s)
- Esther Yuet Ying Lau
- Department of Psychology, The Education University of Hong Kong , Tai Po , Hong Kong.,Centre for Religious and Spirituality Education, The Education University of Hong Kong , Tai Po , Hong Kong
| | - Mark Lawrence Wong
- Department of Clinical Psychology, Pamela Youde Nethersole Eastern Hospital , Chai Wan , Hong Kong
| | - Benjamin Rusak
- Department of Psychiatry, Dalhousie University , Halifax, Nova Scotia , Canada.,Department of Psychology and Neuroscience, Dalhousie University , Halifax, Nova Scotia , Canada
| | - Yeuk Ching Lam
- Department of Psychology, The Education University of Hong Kong , Tai Po , Hong Kong.,Centre for Psychosocial Health, The Education University of Hong Kong , Tai Po , Hong Kong
| | - Yun Kwok Wing
- Department of Psychiatry, The Chinese University of Hong Kong , Shatin , Hong Kong
| | - Chia-Huei Tseng
- Research Institute of Electrical Communication, Tohoku University , Sendai , Japan
| | - Tatia Mei Chun Lee
- Department of Psychology, The University of Hong Kong , Pokfulam , Hong Kong
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19
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Kang JM, Joo SW, Son YD, Kim H, Ko KP, Lee JS, Kang SG. Low white-matter integrity between the left thalamus and inferior frontal gyrus in patients with insomnia disorder. J Psychiatry Neurosci 2018; 43:366-374. [PMID: 30371992 PMCID: PMC6203544 DOI: 10.1503/jpn.170195] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Previous studies have reported functional and structural abnormalities in the thalamus and the pars triangularis of the inferior frontal gyrus in patients with insomnia disorder. However, no studies have been conducted on the white-matter tracts between these 2 brain regions. We aimed to compare the white-matter integrity and structure of the left thalamus–pars triangularis tracts between patients with insomnia and controls, and to characterize the relationship between white-matter integrity and clinical features in patients with insomnia. METHODS In total, 22 participants with insomnia disorder and 27 controls underwent overnight polysomnography and brain magnetic resonance imaging, and then completed self-report clinical questionnaires and neurocognitive tests for spatial planning. Structural and diffusion measures such as fractional anisotropy, axial diffusivity, radial diffusivity and trace were analyzed in group comparison and correlation analyses. RESULTS The insomnia group showed significantly lower fractional anisotropy (F = 8.647, p = 0.02) and axial diffusivity (F = 5.895, p = 0.038) in the left thalamus–pars triangularis tracts than controls. In patients with insomnia, fractional anisotropy in the tracts was correlated with the results of the Stockings of Cambridge test (r = 0.451, p = 0.034), and radial diffusivity was correlated with Epworth Sleepiness Scale score (r = 0.437, p = 0.042). LIMITATIONS Limitations included analyses of limited brain regions and the cross-sectional design. CONCLUSION The insomnia group showed decreased integrity in the left thalamus–pars triangularis tracts, and integrity was correlated with cognition and daytime sleepiness. These results may imply that insomnia is characterized by disintegration of the white-matter tract between the left thalamus and inferior frontal gyrus.
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Affiliation(s)
| | | | | | | | | | - Jung Sun Lee
- Correspondence to: S. Kang, Department of Psychiatry, Gil Medical Center, Gachon University, College of Medicine, 21, Namdong-daero 774 beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea; ; J. Lee, Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea;
| | - Seung-Gul Kang
- Correspondence to: S. Kang, Department of Psychiatry, Gil Medical Center, Gachon University, College of Medicine, 21, Namdong-daero 774 beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea; ; J. Lee, Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea;
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20
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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: 0.6] [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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21
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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: 0.8] [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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22
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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: 1.0] [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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23
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Degradation of cortical representations during encoding following sleep deprivation. Neuroimage 2017; 153:131-138. [PMID: 28161311 DOI: 10.1016/j.neuroimage.2017.01.080] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Revised: 01/26/2017] [Accepted: 01/31/2017] [Indexed: 12/16/2022] Open
Abstract
A night of total sleep deprivation (TSD) reduces task-related activation of fronto-parietal and higher visual cortical areas. As this reduction in activation corresponds to impaired attention and perceptual processing, it might also be associated with poorer memory encoding. Related animal work has established that cortical columns stochastically enter a 'down' state in sleep deprivation, leading to predictions that neural representations are less stable and distinctive following TSD. To test these predictions participants incidentally encoded scene images while undergoing fMRI, either during rested wakefulness (RW) or after TSD. In scene-selective PPA, TSD reduced stability of neural representations across repetition. This was accompanied by poorer subsequent memory. Greater representational stability benefitted subsequent memory in RW but not TSD. Even for items subsequently recognized, representational distinctiveness was lower in TSD, suggesting that quality of encoding is degraded. Reduced representational stability and distinctiveness are two novel mechanisms by which TSD can contribute to poorer memory formation.
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24
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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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25
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Mullette-Gillman OA, Kurnianingsih YA, Liu JCJ. Sleep deprivation alters choice strategy without altering uncertainty or loss aversion preferences. Front Neurosci 2015; 9:352. [PMID: 26500479 PMCID: PMC4593856 DOI: 10.3389/fnins.2015.00352] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 09/16/2015] [Indexed: 11/13/2022] Open
Abstract
Sleep deprivation alters decision making; however, it is unclear what specific cognitive processes are modified to drive altered choices. In this manuscript, we examined how one night of total sleep deprivation (TSD) alters economic decision making. We specifically examined changes in uncertainty preferences dissociably from changes in the strategy with which participants engage with presented choice information. With high test-retest reliability, we show that TSD does not alter uncertainty preferences or loss aversion. Rather, TSD alters the information the participants rely upon to make their choices. Utilizing a choice strategy metric which contrasts the influence of maximizing and satisficing information on choice behavior, we find that TSD alters the relative reliance on maximizing information and satisficing information, in the gains domain. This alteration is the result of participants both decreasing their reliance on cognitively-complex maximizing information and a concomitant increase in the use of readily-available satisficing information. TSD did not result in a decrease in overall information use in either domain. These results show that sleep deprivation alters decision making by altering the informational strategies that participants employ, without altering their preferences.
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Affiliation(s)
- O'Dhaniel A Mullette-Gillman
- Department of Psychology, National University of Singapore Singapore, Singapore ; SINAPSE Institute, National University of Singapore Singapore, Singapore ; Neuroscience and Behavioral Disorders Program, Centre for Cognitive Neuroscience, Duke-NUS Graduate Medical School Singapore, Singapore
| | | | - Jean C J Liu
- Neuroscience and Behavioral Disorders Program, Centre for Cognitive Neuroscience, Duke-NUS Graduate Medical School Singapore, Singapore ; Division of Social Sciences, Yale-NUS College Singapore, Singapore
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26
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Mullette-Gillman OA, Leong RLF, Kurnianingsih YA. Cognitive Fatigue Destabilizes Economic Decision Making Preferences and Strategies. PLoS One 2015; 10:e0132022. [PMID: 26230404 PMCID: PMC4521815 DOI: 10.1371/journal.pone.0132022] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Accepted: 06/09/2015] [Indexed: 12/05/2022] Open
Abstract
Objective It is common for individuals to engage in taxing cognitive activity for prolonged periods of time, resulting in cognitive fatigue that has the potential to produce significant effects in behaviour and decision making. We sought to examine whether cognitive fatigue modulates economic decision making. Methods We employed a between-subject manipulation design, inducing fatigue through 60 to 90 minutes of taxing cognitive engagement against a control group that watched relaxing videos for a matched period of time. Both before and after the manipulation, participants engaged in two economic decision making tasks (one for gains and one for losses). The analyses focused on two areas of economic decision making—preferences and choice strategies. Uncertainty preferences (risk and ambiguity) were quantified as premium values, defined as the degree and direction in which participants alter the valuation of the gamble in comparison to the certain option. The strategies that each participant engaged in were quantified through a choice strategy metric, which contrasts the degree to which choice behaviour relies upon available satisficing or maximizing information. We separately examined these metrics for alterations within both the gains and losses domains, through the two choice tasks. Results The fatigue manipulation resulted in significantly greater levels of reported subjective fatigue, with correspondingly higher levels of reported effort during the cognitively taxing activity. Cognitive fatigue did not alter uncertainty preferences (risk or ambiguity) or informational strategies, in either the gains or losses domains. Rather, cognitive fatigue resulted in greater test-retest variability across most of our economic measures. These results indicate that cognitive fatigue destabilizes economic decision making, resulting in inconsistent preferences and informational strategies that may significantly reduce decision quality.
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Affiliation(s)
- O’Dhaniel A. Mullette-Gillman
- Department of Psychology, National University of Singapore, Singapore, Singapore
- Centre for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore, Singapore
- SINAPSE Institute for Cognitive Science and Neurotechnologies, Singapore, Singapore
- * E-mail:
| | - Ruth L. F. Leong
- Department of Psychology, National University of Singapore, Singapore, Singapore
- Centre for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Graduate Medical School, Singapore, Singapore
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Gevers W, Deliens G, Hoffmann S, Notebaert W, Peigneux P. Sleep deprivation selectively disrupts top-down adaptation to cognitive conflict in the Stroop test. J Sleep Res 2015; 24:666-72. [PMID: 26173051 DOI: 10.1111/jsr.12320] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 05/23/2015] [Indexed: 11/30/2022]
Abstract
Sleep deprivation is known to exert detrimental effects on various cognitive domains, including attention, vigilance and working memory. Seemingly at odds with these findings, prior studies repeatedly failed to evidence an impact of prior sleep deprivation on cognitive interference in the Stroop test, a hallmark paradigm in the study of cognitive control abilities. The present study investigated further the effect of sleep deprivation on cognitive control using an adapted version of the Stroop test that allows to segregate top-down (attentional reconfiguration on incongruent items) and bottom-up (facilitated processing after repetitions in responses and/or features of stimuli) components of performance. Participants underwent a regular night of sleep or a night of total sleep deprivation before cognitive testing. Results disclosed that sleep deprivation selectively impairs top-down adaptation mechanisms: cognitive control no longer increased upon detection of response conflict at the preceding trial. In parallel, bottom-up abilities were found unaffected by sleep deprivation: beneficial effects of stimulus and response repetitions persisted. Changes in vigilance states due to sleep deprivation selectively impact on cognitive control in the Stroop test by affecting top-down, but not bottom-up, mechanisms that guide adaptive behaviours.
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Affiliation(s)
- Wim Gevers
- CRCN - Center for Research in Cognition & Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Bruxelles, Belgium
| | - Gaetane Deliens
- CRCN - Center for Research in Cognition & Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Bruxelles, Belgium.,CO3, Consciousness, Cognition & Computation Group at CRCN, Bruxelles, Belgium.,UR2NF, Neuropsychology and Functional Neuroimaging Research Group at CRCN, Bruxelles, Belgium
| | - Sophie Hoffmann
- CRCN - Center for Research in Cognition & Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Bruxelles, Belgium
| | - Wim Notebaert
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Philippe Peigneux
- CRCN - Center for Research in Cognition & Neurosciences and UNI - ULB Neurosciences Institute, Université Libre de Bruxelles (ULB), Bruxelles, Belgium.,UR2NF, Neuropsychology and Functional Neuroimaging Research Group at CRCN, Bruxelles, Belgium
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28
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Schwarz JFA, Geisler P, Hajak G, Zulley J, Rupprecht R, Wetter TC, Popp RFJ. The effect of partial sleep deprivation on computer-based measures of fitness to drive. Sleep Breath 2015; 20:285-92. [PMID: 26115651 DOI: 10.1007/s11325-015-1220-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 06/11/2015] [Accepted: 06/16/2015] [Indexed: 10/23/2022]
Abstract
PURPOSE Using a partial sleep deprivation paradigm, the aim of the study was to investigate the sensitivity of a computer-based test battery of fitness to drive to detect impairments related to sleepiness. METHODS Forty-seven healthy subjects (34 females, mean age 26.0 ± 6.8 years) participated in a counterbalanced within-subject design of two conditions: (i) normal night sleep and (ii) partial sleep deprivation (PSD) with 4 h time in bed. For the assessment of fitness to drive, we used a validated traffic psychological test battery. Moreover, well-established measures of sleepiness highly responsive to sleep deprivation were applied: the Karolinska Sleepiness Scale (KSS), pupillography (Pupil Unrest Index (PUI) as physiological sleepiness indicator) and two sustained attention tasks (psychomotor Vigilance Task and Mackworth Clock Test). RESULTS Subjective and physiological sleepiness were significantly increased after PSD, accompanied by large (d > 1.50 for KSS) and medium (d = 0.55 for PUI) effect sizes. Sleepiness-related performance decrements were found in both sustained attention tasks (d = 0.59-0.77). Assessing driving-related ability, PSD induced decrements only in the test domain Reaction Test (reaction time d = 0.54 and motor time d = 0.45). All other subtests-as well as the overall judgement of fitness to drive-were not significantly affected by PSD. CONCLUSION In contrast to established tests of sustained attention and subjective sleepiness, computer-based test batteries of fitness to drive might lack sensitivity to core aspects of sleepiness as they mainly consist of short and stimulating subtests. Therefore, tasks that require sustained attention should be an essential part of traffic psychological test batteries when sleepiness is a potential issue.
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Affiliation(s)
- Johanna F A Schwarz
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany.,Department of Psychology, Stockholm University, Stockholm, Sweden.,Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Peter Geisler
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany
| | - Göran Hajak
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany.,Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Social Foundation Bamberg, Bamberg, Germany
| | - Jürgen Zulley
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany
| | - Thomas C Wetter
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany
| | - Roland F J Popp
- Department of Psychiatry and Psychotherapy, Center of Sleep Medicine, University of Regensburg, Universitätsstrasse 84, 93053, Regensburg, Germany.
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29
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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: 1.3] [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; 38:233-240. [PMID: 25409102 PMCID: PMC4288604 DOI: 10.5665/sleep.4404] [Citation(s) in RCA: 165] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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31
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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: 1.7] [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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32
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Sun Y, Lim J, Kwok K, Bezerianos A. Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks. Brain Cogn 2014; 85:220-30. [DOI: 10.1016/j.bandc.2013.12.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2013] [Revised: 12/23/2013] [Accepted: 12/26/2013] [Indexed: 10/25/2022]
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33
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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: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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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: 3.1] [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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35
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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: 24] [Impact Index Per Article: 2.0] [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: 229] [Impact Index Per Article: 19.1] [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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Jackson ML, Gunzelmann G, Whitney P, Hinson JM, Belenky G, Rabat A, Van Dongen HPA. Deconstructing and reconstructing cognitive performance in sleep deprivation. Sleep Med Rev 2012; 17:215-25. [PMID: 22884948 DOI: 10.1016/j.smrv.2012.06.007] [Citation(s) in RCA: 109] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2011] [Revised: 06/25/2012] [Accepted: 06/26/2012] [Indexed: 10/28/2022]
Abstract
Mitigation of cognitive impairment due to sleep deprivation in operational settings is critical for safety and productivity. Achievements in this area are hampered by limited knowledge about the effects of sleep loss on actual job tasks. Sleep deprivation has different effects on different cognitive performance tasks, but the mechanisms behind this task-specificity are poorly understood. In this context it is important to recognize that cognitive performance is not a unitary process, but involves a number of component processes. There is emerging evidence that these component processes are differentially affected by sleep loss. Experiments have been conducted to decompose sleep-deprived performance into underlying cognitive processes using cognitive-behavioral, neuroimaging and cognitive modeling techniques. Furthermore, computational modeling in cognitive architectures has been employed to simulate sleep-deprived cognitive performance on the basis of the constituent cognitive processes. These efforts are beginning to enable quantitative prediction of the effects of sleep deprivation across different task contexts. This paper reviews a rapidly evolving area of research, and outlines a theoretical framework in which the effects of sleep loss on cognition may be understood from the deficits in the underlying neurobiology to the applied consequences in real-world job tasks.
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Affiliation(s)
- Melinda L Jackson
- Sleep and Performance Research Center, Washington State University, Spokane, WA 99210-1495, USA.
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38
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Cao M, Guilleminault C. Acute and chronic sleep loss: implications on age-related neurocognitive impairment. Sleep 2012; 35:901-2. [PMID: 22754034 DOI: 10.5665/sleep.1944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Affiliation(s)
- Michelle Cao
- The Stanford Center for Sleep Sciences and Medicine, Stanford University School of Medicine, Stanford, CA, USA
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39
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Kong D, Soon CS, Chee MWL. Functional imaging correlates of impaired distractor suppression following sleep deprivation. Neuroimage 2012; 61:50-5. [PMID: 22426349 DOI: 10.1016/j.neuroimage.2012.02.081] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2011] [Revised: 02/27/2012] [Accepted: 02/28/2012] [Indexed: 11/25/2022] Open
Abstract
Sleep deprivation (SD) has been shown to affect selective attention but it is not known how two of its component processes: target enhancement and distractor suppression, are affected. To investigate, young volunteers either attended to houses or were obliged to ignore them (when attending to faces) while viewing superimposed face-house pictures. MR signal enhancement and suppression in the parahippocampal place area (PPA) were determined relative to a passive viewing control condition. Sleep deprivation was associated with lower PPA activation across conditions. Critically SD specifically impaired distractor suppression in selective attention, leaving target enhancement relatively preserved. These findings parallel some observations in cognitive aging. Additionally, following SD, attended houses were not significantly better recognized than ignored houses in a post-experiment test of recognition memory contrasting with the finding of superior recognition of attended houses in the well-rested state. These results provide evidence for co-encoding of distracting information with targets into memory when one is sleep deprived.
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Affiliation(s)
- Danyang Kong
- Cognitive Neuroscience Laboratory, Duke-NUS Graduate Medical School, Singapore
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40
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Basner M, Dinges DF. An adaptive-duration version of the PVT accurately tracks changes in psychomotor vigilance induced by sleep restriction. Sleep 2012; 35:193-202. [PMID: 22294809 DOI: 10.5665/sleep.1620] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES The Psychomotor Vigilance Test (PVT) is a widely used assay of behavioral alertness sensitive to the effects of sleep loss and circadian misalignment. The standard 10-minute duration of the PVT is often considered impractical for operational or clinical environments. Therefore, we developed and validated an adaptive-duration version of the PVT (PVT-A) that stops sampling once it has gathered enough information to correctly classify PVT performance. DESIGN Repeated-measures experiments involving 10-minute PVT assessments every 2 hours across both acute total sleep deprivation (TSD) and 5 days of chronic partial sleep deprivation (PSD). SETTING Controlled laboratory environment. PARTICIPANTS Seventy-four healthy subjects (34 women), aged 22 to 45 years. INTERVENTIONS A TSD experiment involving 33 hours awake (n = 31 subjects), and a PSD experiment involving 5 nights of 4 hours time in bed (n = 43 subjects). MEASUREMENTS AND RESULTS The PVT-A algorithm was trained with 527 TSD test bouts and validated with 880 PSD test bouts. Based on our primary outcome measure "number of lapses (response times ≥ 500 ms) plus false starts (premature responses or response times < 100 ms)," 10-minute PVT performance was classified into high (≤ 5 lapses and false starts), medium (> 5 and ≤ 16 lapses and false starts), or low (> 16 lapses and false starts). The decision threshold for PVT-A termination was set so that at least 95% of training data-set tests were classified correctly and no test was classified incorrectly across 2 performance categories (i.e., high as low or low as high), resulting in an average test duration of 6.0 minutes (SD 2.4 min). In the validation data set, 95.7% of test bouts were correctly classified, and there were no incorrect classifications across 2 categories. Agreement corrected for chance was excellent (κ = 0.92). Across the 3 performance categories, sensitivity averaged 93.7% (range 87.2%-100%), and specificity averaged 96.8% (range 91.6%-99.9%). Test duration averaged 6.4 minutes (SD 1.7 min), with a minimum of 27 seconds. CONCLUSIONS We developed and validated a highly accurate, sensitive, and specific adaptive-duration version of the 10-minute PVT. Test duration of the adaptive PVT averaged less than 6.5 minutes, with 60 tests (4.3%) terminating after less than 2 minutes, increasing the practicability of the test in operational and clinical settings. The adaptive-duration strategy may be superior to a simple reduction of PVT duration in which the fixed test duration may be too short to identify subjects with moderate impairment (showing deficits only later during the test) but unnecessarily long for those who are either fully alert or severely impaired.
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Affiliation(s)
- Mathias Basner
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6021, USA.
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41
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Chee MWL, Goh CSF, Namburi P, Parimal S, Seidl KN, Kastner S. Effects of sleep deprivation on cortical activation during directed attention in the absence and presence of visual stimuli. Neuroimage 2011; 58:595-604. [PMID: 21745579 DOI: 10.1016/j.neuroimage.2011.06.058] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2011] [Revised: 06/20/2011] [Accepted: 06/20/2011] [Indexed: 11/30/2022] Open
Abstract
Sleep deprivation (SD) can give rise to faltering attention but the mechanics underlying this remain uncertain. Using a covert attention task that required attention to a peripheral target location, we compared the effects of attention and SD on baseline activity prior to visual stimulation as well as on stimulus-evoked activity. Volunteers were studied after a night of normal sleep (RW) and a night of SD. Baseline signal elevations evoked by preparatory attention in the absence of visual stimulation were attenuated within rFEF, rIPS (sparing SEF) and all retinotopically mapped visual areas during SD, indicative of impaired endogenous attention. In response to visual stimuli, attention modulated activation in higher cortical areas and extrastriate cortex (hV4, ventral occipital areas) after RW. SD attenuated rFEF, rIPS, V3a and VO stimulus-evoked activation regardless of whether stimuli were attended. Notably, the modulation of stimulus-evoked activation by attention was not affected by SD unlike for the preparatory period, suggesting a reduced number, but still functional circuits during SD. Deficits in endogenous attention in SD dominate in the preparatory period, whereas changes in stimulus-related activation arise from an interaction between compromised fronto-parietal top-down control of attention and reduced sensitivity of extrastriate visual cortex to top-down or bottom-up inputs.
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Affiliation(s)
- Michael W L Chee
- Cognitive Neuroscience Laboratory, Duke-NUS Graduate Medical School, Singapore.
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42
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Basner M, Dinges DF. Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep 2011; 34:581-91. [PMID: 21532951 DOI: 10.1093/sleep/34.5.581] [Citation(s) in RCA: 577] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
STUDY OBJECTIVES The psychomotor vigilance test (PVT) is among the most widely used measures of behavioral alertness, but there is large variation among published studies in PVT performance outcomes and test durations. To promote standardization of the PVT and increase its sensitivity and specificity to sleep loss, we determined PVT metrics and task durations that optimally discriminated sleep deprived subjects from alert subjects. DESIGN Repeated-measures experiments involving 10-min PVT assessments every 2 h across both acute total sleep deprivation (TSD) and 5 days of chronic partial sleep deprivation (PSD). SETTING Controlled laboratory environment. PARTICIPANTS 74 healthy subjects (34 female), aged 22-45 years. INTERVENTIONS TSD experiment involving 33 h awake (N = 31 subjects) and a PSD experiment involving 5 nights of 4 h time in bed (N = 43 subjects). MEASUREMENTS AND RESULTS In a paired t-test paradigm and for both TSD and PSD, effect sizes of 10 different PVT performance outcomes were calculated. Effect sizes were high for both TSD (1.59-1.94) and PSD (0.88-1.21) for PVT metrics related to lapses and to measures of psychomotor speed, i.e., mean 1/RT (response time) and mean slowest 10% 1/RT. In contrast, PVT mean and median RT outcomes scored low to moderate effect sizes influenced by extreme values. Analyses facilitating only portions of the full 10-min PVT indicated that for some outcomes, high effect sizes could be achieved with PVT durations considerably shorter than 10 min, although metrics involving lapses seemed to profit from longer test durations in TSD. CONCLUSIONS Due to their superior conceptual and statistical properties and high sensitivity to sleep deprivation, metrics involving response speed and lapses should be considered primary outcomes for the 10-min PVT. In contrast, PVT mean and median metrics, which are among the most widely used outcomes, should be avoided as primary measures of alertness. Our analyses also suggest that some shorter-duration PVT versions may be sensitive to sleep loss, depending on the outcome variable selected, although this will need to be confirmed in comparative analyses of separate duration versions of the PVT. Using both sensitive PVT metrics and optimal test durations maximizes the sensitivity of the PVT to sleep loss and therefore potentially decreases the sample size needed to detect the same neurobehavioral deficit. We propose criteria to better standardize the 10-min PVT and facilitate between-study comparisons and meta-analyses.
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Affiliation(s)
- Mathias Basner
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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The effect of sleep deprivation on BOLD activity elicited by a divided attention task. Brain Imaging Behav 2011; 5:97-108. [DOI: 10.1007/s11682-011-9115-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Kong D, Soon CS, Chee MWL. Reduced visual processing capacity in sleep deprived persons. Neuroimage 2010; 55:629-34. [PMID: 21195190 DOI: 10.1016/j.neuroimage.2010.12.057] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2010] [Revised: 11/30/2010] [Accepted: 12/21/2010] [Indexed: 12/24/2022] Open
Abstract
Multiple experiments have found sleep deprivation to lower task-related parietal and extrastriate visual activation, suggesting a reduction of visual processing capacity in this state. The perceptual load theory of attention (Lavie, 1995) predicts that our capacity to process unattended distractors will be reduced by increasing perceptual difficulty of task-relevant stimuli. Here, we evaluated the effects of sleep deprivation and perceptual load on visual processing capacity by measuring neural repetition-suppression to unattended scenes while healthy volunteers attended to faces embedded in face-scene pictures. Perceptual load did not affect repetition suppression after a normal night of sleep. Sleep deprivation reduced repetition suppression in the parahippocampal place area (PPA) in the high but not low perceptual load condition. Additionally, the extent to which task-related fusiform face area (FFA) activation was reduced after sleep deprivation correlated with behavioral performance and lowered repetition suppression in the PPA. The findings concerning correct responses indicate that a portion of stimulus related activation following a normal night of sleep contributes to potentially useful visual processing capacity that is attenuated following sleep deprivation. Finally, when unattended stimuli are not highly intrusive, sleep deprivation does not appear to increase distractibility.
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Affiliation(s)
- Danyang Kong
- Cognitive Neuroscience Laboratory, Duke-NUS Graduate Medical School, Singapore, Singapore
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