Impact of total sleep deprivation and related mood changes on approach-avoidance decisions to threat-related facial displays

Abstract Study Objectives Total sleep deprivation is known to have significant detrimental effects on cognitive and socio-emotional functioning. Nonetheless, the mechanisms by which total sleep loss disturbs decision-making in social contexts are poorly understood. Here, we investigated the impact of total sleep deprivation on approach/avoidance decisions when faced with threatening individuals, as well as the potential moderating role of sleep-related mood changes. Methods Participants (n = 34) made spontaneous approach/avoidance decisions in the presence of task-irrelevant angry or fearful individuals, while rested or totally sleep deprived (27 hours of continuous wakefulness). Sleep-related changes in mood and sustained attention were assessed using the Positive and Negative Affective Scale and the psychomotor vigilance task, respectively. Results Rested participants avoided both fearful and angry individuals, with stronger avoidance for angry individuals, in line with previous results. On the contrary, totally sleep deprived participants favored neither approach nor avoidance of fearful individuals, while they still comparably avoided angry individuals. Drift-diffusion models showed that this effect was accounted for by the fact that total sleep deprivation reduced value-based evidence accumulation toward avoidance during decision making. Finally, the reduction of positive mood after total sleep deprivation positively correlated with the reduction of fearful display avoidance. Importantly, this correlation was not mediated by a sleep-related reduction in sustained attention. Conclusions All together, these findings support the underestimated role of positive mood-state alterations caused by total sleep loss on approach/avoidance decisions when facing ambiguous socio-emotional displays, such as fear.

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O040 Sleep restriction impairs the ability to integrate multiple pieces of information into a decision

SLEEP Advances ◽

10.1093/sleepadvances/zpab014.039 ◽

2021 ◽

Vol 2 (Supplement_1) ◽

pp. A17-A17

Author(s):

S Drummond ◽

J Lim ◽

J Boardman ◽

C Anderson ◽

D Dickinson

Keyword(s):

Decision Making ◽

Sleep Deprivation ◽

Mathematical Modelling ◽

Healthy Adults ◽

Sleep Restriction ◽

Decision Task ◽

Total Sleep Deprivation ◽

Black And White ◽

Single Piece ◽

The Impact

Abstract Introduction Sleep deprivation impacts overall decision-making, though the impact on specific components of decision-making are less well studied, especially outside of total sleep deprivation. Here, we examine the effects of sleep restriction on the ability to integrate multiple pieces of information into a decision. Methods Healthy adults (n=41; age=27.9±6.0 years, 20F) lived in the sleep lab for 2 counterbalanced conditions: well-rested (WR: 9-hour sleep opportunity for 4 nights) and sleep restriction (SR: one 9-hour night, followed by three 3-hour nights). Following the last night of each condition, participants performed the decision task. Across 48 trials, participants first saw two containers, with different numbers of black and white balls. Eight balls were randomly drawn, with replacement, from one unknown container. Participants decided which container was used, based on the “odds” each container was used and draw results (“evidence”). Mathematical modelling determined the amount of weight given to odds/evidence. The “best” decisions integrate both pieces of information. Results When WR, participants utilised both pieces of information to make their decisions, though odds were given slightly more weight. During SR, the amount of weight given to the odds did not change, and the weight given to the evidence decreased significantly. Conclusion SR impaired the ability to integrate multiple pieces of information into a decision. Instead, participants focused on a single piece of easy-to-understand information and did not fully utilise a harder-to-understand piece of information. This has implications for complex applied environments where individuals have large amounts of information with which to make decisions.

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Residual, differential neurobehavioral deficits linger after multiple recovery nights following chronic sleep restriction or acute total sleep deprivation

SLEEP ◽

10.1093/sleep/zsaa224 ◽

2020 ◽

Author(s):

Erika M Yamazaki ◽

Caroline A Antler ◽

Charlotte R Lasek ◽

Namni Goel

Keyword(s):

Sleep Deprivation ◽

Response Speed ◽

Sleep Loss ◽

Sleep Restriction ◽

Total Sleep Deprivation ◽

Psychomotor Vigilance Test ◽

Recovery Sleep ◽

Time In Bed ◽

Neurobehavioral Deficits ◽

Chronic Sleep

Abstract Study Objectives The amount of recovery sleep needed to fully restore well-established neurobehavioral deficits from sleep loss remains unknown, as does whether the recovery pattern differs across measures after total sleep deprivation (TSD) and chronic sleep restriction (SR). Methods In total, 83 adults received two baseline nights (10–12-hour time in bed [TIB]) followed by five 4-hour TIB SR nights or 36-hour TSD and four recovery nights (R1–R4; 12-hour TIB). Neurobehavioral tests were completed every 2 hours during wakefulness and a Maintenance of Wakefulness Test measured physiological sleepiness. Polysomnography was collected on B2, R1, and R4 nights. Results TSD and SR produced significant deficits in cognitive performance, increases in self-reported sleepiness and fatigue, decreases in vigor, and increases in physiological sleepiness. Neurobehavioral recovery from SR occurred after R1 and was maintained for all measures except Psychomotor Vigilance Test (PVT) lapses and response speed, which failed to completely recover. Neurobehavioral recovery from TSD occurred after R1 and was maintained for all cognitive and self-reported measures, except for vigor. After TSD and SR, R1 recovery sleep was longer and of higher efficiency and better quality than R4 recovery sleep. Conclusions PVT impairments from SR failed to reverse completely; by contrast, vigor did not recover after TSD; all other deficits were reversed after sleep loss. These results suggest that TSD and SR induce sustained, differential biological, physiological, and/or neural changes, which remarkably are not reversed with chronic, long-duration recovery sleep. Our findings have critical implications for the population at large and for military and health professionals.

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Online Reviews and Product Sales: The Role of Review Visibility

Journal of theoretical and applied electronic commerce research ◽

10.3390/jtaer16040038 ◽

2021 ◽

Vol 16 (4) ◽

pp. 638-669

Author(s):

Miriam Alzate ◽

Marta Arce-Urriza ◽

Javier Cebollada

Keyword(s):

Decision Making ◽

Dynamic Models ◽

Generalized Method Of Moments ◽

Online Reviews ◽

Consumer Decision Making ◽

Product Sales ◽

The Impact ◽

The Relationship ◽

The Empirical Analysis

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.

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293 Predictive utility of a brief scale to identify U.S. Army Soldiers who are genetically vulnerable and resilient to sleep loss

SLEEP ◽

10.1093/sleep/zsab072.292 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A117-A117

Author(s):

Janna Mantua ◽

Carolyn Mickelson ◽

Jacob Naylor ◽

Bradley Ritland ◽

Alexxa Bessey ◽

...

Keyword(s):

Decision Making ◽

Reaction Time ◽

Sleep Deprivation ◽

Cognitive Performance ◽

Response Inhibition ◽

Sleep Loss ◽

Cutoff Score ◽

Cognitive Subscale ◽

Army Soldiers ◽

Psychomotor Vigilance

Abstract Introduction Sleep loss that is inherent to military operations can lead to cognitive errors and potential mission failure. Single Nucleotide Polymorphisms (SNPs) allele variations of several genes (COMT, ADORA2A, TNFa, CLOCK, DAT1) have been linked with inter-individual cognitive resilience to sleep loss through various mechanisms. U.S. Army Soldiers with resilience-related alleles may be better-suited to perform cognitively-arduous duties under conditions of sleep loss than those without these alleles. However, military-wide genetic screening is costly, arduous, and infeasible. This study tested whether a brief survey of subjective resilience to sleep loss (1) can demarcate soldiers with and without resilience-related alleles, and, if so, (2) can predict cognitive performance under conditions of sleep loss. Methods Six SNPs from the aforementioned genes were sequenced from 75 male U.S. Army special operations Soldiers (age 25.7±4.1). Psychomotor vigilance, response inhibition, and decision-making were tested after a night of mission-driven total sleep deprivation. The Iowa Resilience to Sleeplessness Test (iREST) Cognitive Subscale, which measures subjective cognitive resilience to sleep loss, was administered after a week of recovery sleep. A receiver operating characteristic (ROC) curve was used to determine whether the iREST Cognitive Subscale can discriminate between gene carriers, and a cutoff score was determined. Cognitive performance after sleep deprivation was compared between those below/above the cutoff score using t-tests or Mann-Whitney U tests. Results The iREST discriminated between allele variations for COMT (ROC=.65,SE=.07,p=.03), with an optimal cutoff score of 3.03 out of 5, with 90% sensitivity and 51.4% specificity. Soldiers below the cutoff score had significantly poorer for psychomotor vigilance reaction time (t=-2.39,p=.02), response inhibition errors of commission (U=155.00,W=246.00,p=.04), and decision-making reaction time (t=2.13,p=.04) than Soldiers above the cutoff score. Conclusion The iREST Cognitive Subscale can discriminate between those with and without specific vulnerability/resilience-related genotypes. If these findings are replicated, the iREST Cognitive Subscale could be used to help military leaders make decisions about proper personnel placement when sleep loss is unavoidable. This would likely result in increased safety and improved performance during military missions. Support (if any) Support for this study came from the Military Operational Medicine Research Program of the United States Army Medical Research and Development Command.

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137 Recovery Dynamics in a Biomathematical Model of Fatigue

SLEEP ◽

10.1093/sleep/zsab072.136 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A56-A56

Author(s):

Mark McCauley ◽

Peter McCauley ◽

Hans Van Dongen

Keyword(s):

Sleep Deprivation ◽

Goodness Of Fit ◽

Sleep Loss ◽

Sleep Restriction ◽

Commercial Aviation ◽

Circadian Misalignment ◽

Total Sleep Deprivation ◽

Homeostatic Process ◽

Recovery Sleep

Abstract Introduction In commercial aviation and other operational settings where biomathematical models of fatigue are used for fatigue risk management, accurate prediction of recovery during rest periods following duty periods with sleep loss and/or circadian misalignment is critical. The recuperative potential of recovery sleep is influenced by a variety of factors, including long-term, allostatic effects of prior sleep/wake history. For example, recovery tends to be slower after sustained sleep restriction versus acute total sleep deprivation. Capturing such dynamics has proven to be challenging. Methods Here we focus on the dynamic biomathematical model of McCauley et al. (2013). In addition to a circadian process, this model features differential equations for sleep/wake regulation including a short-term sleep homeostatic process capturing change in the order of hours/days and a long-term allostatic process capturing change in the order of days/weeks. The allostatic process modulates the dynamics of the homeostatic process by shifting its equilibrium setpoint, which addresses recently observed phenomena such as reduced vulnerability to sleep loss after banking sleep. It also differentiates the build-up and recovery rates of fatigue under conditions of chronic sleep restriction versus acute total sleep deprivation; nonetheless, it does not accurately predict the disproportionately rapid recovery seen after total sleep deprivation. To improve the model, we hypothesized that the homeostatic process may also modulate the allostatic process, with the magnitude of this effect scaling as a function of time awake. Results To test our hypothesis, we added a parameter to the model to capture modulation by the homeostatic process of the allostatic process build-up during wakefulness and dissipation during sleep. Parameter estimation using previously published laboratory datasets of fatigue showed this parameter as significantly different from zero (p<0.05) and yielding a 10%–20% improvement in goodness-of-fit for recovery without adversely affecting goodness-of-fit for pre-recovery days. Conclusion Inclusion of a modulation effect of the allostatic process by the homeostatic process improved prediction accuracy in a variety of sleep loss and circadian misalignment scenarios. In addition to operational relevance for duty/rest scheduling, this finding has implications for understanding mechanisms underlying the homeostatic and allostatic processes of sleep/wake regulation. Support (if any) Federal Express Corporation

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The impact of total sleep deprivation upon supine and head up tilt hemodynamics using non-linear analysis in firefighters

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102989 ◽

2021 ◽

Vol 70 ◽

pp. 102989

Author(s):

Sławomir Kujawski ◽

Katarzyna Buszko ◽

Agnieszka Cudnoch-Jędrzejewska ◽

Joanna Słomko ◽

Djordje G. Jakovljevic ◽

...

Keyword(s):

Sleep Deprivation ◽

Linear Analysis ◽

Total Sleep Deprivation ◽

Non Linear ◽

Head Up Tilt ◽

The Impact

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Ties that Bind?

Comparative Political Studies ◽

10.1177/0010414098031001003 ◽

1998 ◽

Vol 31 (1) ◽

pp. 45-71 ◽

Cited By ~ 10

Author(s):

WILL H. MOORE ◽

DAVID R. DAVIS

Keyword(s):

Decision Making ◽

Statistical Analysis ◽

General Model ◽

International Conflict ◽

Conflict Behavior ◽

Structural Constraints ◽

Structural Factors ◽

International Interactions ◽

The Impact

In this article, the authors develop and empirically evaluate a general model of the linkages between domestic and international conflict behavior. Much of the literature on domestic international interactions has focused on the structural constraints of the international and domestic systems on leaders' foreign policy decisions. Rather than focusing on structural constraints, the present authors model the influence of the behavior of domestic and international rivals on leader decision making. The impact of rivals' behavior on conflict across the domestic-international nexus has been neglected relative to the role of structural factors. This study helps redress that imbalance. The authors test their model with a statistical analysis of Zaire during the period 1975 to 1992 and find substantial support for the model.

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Obstáculos en la comunicación entre el cerebro y el intestino

Psihologijske teme ◽

10.31820/pt.27.1.6 ◽

2018 ◽

Vol 27 (1) ◽

pp. 91-114

Author(s):

Sanda Pletikosić Tončić ◽

Mladenka Tkalčić

Keyword(s):

Protective Factor ◽

Short Form ◽

Negative Mood ◽

Positive Mood ◽

Serum Cortisol ◽

Fecal Calprotectin ◽

Biological Factors ◽

Irritable Bowel ◽

The Impact

Irritable bowel syndrome (IBS) is a complex disorder that results from interactions of numerous factors. The biopsychosocial model describes a number of predisposing, precipitating, and perpetuating factors, which contribute to the onset and maintenance of symptoms and consequently to quality of life (QoL) impairment. The aim of this study was to examine the impact of several psychological and biological factors on the physical and mental components of QoL in IBS patients. A total of 46 IBS patients completed a set of questionnaires (Big Five Inventory, State-Trait Anxiety Inventory, Beck Depression Inventory-II, Medical Outcome Study Short-Form 36) and kept a diary of their mood, daily stress, and symptoms over a period of two weeks. Patients' heart rate variability, serum cortisol, and fecal calprotectin levels were also measured. The results of regression analyses showed that depression (β = -.30) and negative mood (β = -.28) predicted physical QoL, while depression (β = -.45) and positive mood (β = .33) significantly predicted mental QoL. The model, which included calprotectin, cortisol, anxiety, depression, and positive and negative mood, explained a total of 47% of variance of physical and 57% of variance of mental QoL. Our results confirm the role of negative affect in IBS QoL impairment. They also indicate that biological factors seem important for physical QoL in IBS patients. The role of positive mood as a protective factor for mental QoL might be significant for psychological interventions with IBS patients.

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Impact of Behavioral Biases on Investment Decision Making with Moderating Role of Financial Literacy

Jinnah Business Review ◽

10.53369/rkxa7855 ◽

2018 ◽

Vol 6 (2) ◽

pp. 34-41

Author(s):

Rizwan Khalid ◽

◽

Muhammad Javed ◽

Khurram Shahzad ◽

◽

...

Keyword(s):

Decision Making ◽

Financial Literacy ◽

Positive Impact ◽

Investment Decision ◽

Structure Questionnaire ◽

Investment Decision Making ◽

Overconfidence Bias ◽

The Impact ◽

Moderating Role

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.

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THE ROLE OF SOCIAL MEDIA ON MIGRATION DECISION-MAKING PROCESSES: Case of Indonesian Student in University of Groningen

Jurnal Studi Pemuda ◽

10.22146/studipemudaugm.38010 ◽

2018 ◽

Vol 6 (1) ◽

pp. 515

Author(s):

Inayah Hidayati

Keyword(s):

Decision Making ◽

Social Media ◽

Migration Decision ◽

Decision Making Process ◽

Migration Behavior ◽

Interview Guide ◽

Destination Area ◽

Decision Making Processes ◽

The Impact

Objective: This research aims to explain the impact of social media on the migration decision-making process of Indonesian student migrants in University of Groningen who used a social media account. In detail, this research will consider the role of social media in the migration decision-making process of students who emigrated from Indonesia and how they uses social media in the context of the migration decision-making process. Methods: The data collected included qualitative data from in-depth interviews and supported by study literatures. An interview guide was formulated to facilitate the indepth interviews and generate a better understanding of migration behavior. Expectation: Social media help Indonesian student migrants on migration decision making process and they use social media for searching information about destination area. Result: Student migrant in University of Groningen use their social media to gain information before they choose that university for study. They use Facebook to making contact with their friends and collagues in the destination country. Student group on Facebook help Indonesian student to get information about school and daily life.

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