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Welhaf MS. Individual differences in working memory capacity and temporal preparation: A secondary reanalysis. Atten Percept Psychophys 2024; 86:2013-2028. [PMID: 39256260 DOI: 10.3758/s13414-024-02951-1] [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] [Accepted: 08/13/2024] [Indexed: 09/12/2024]
Abstract
The ability to prepare and maintain an optimal level of preparedness for action, across some unknown duration, is critical for human behavior. Temporal preparation has historically been analyzed in the context of reaction time (RT) experiments where the interval varies between the start of the trial, or foreperiod (FP), and the required response. Two main findings have come out of such paradigms: the variable FP effect (longer RTs to shorter vs. longer FPs) and the sequential FP effect (longer RTs when shorter FPs follow longer FPs). Several theoretical views of these FP effects have been proposed with some suggesting a dissociation while others argue for an implicit process driven by memory traces. One possible method to test these views of FP effects is to examine how individual differences in working memory capacity (WMC) moderate such effects. To this end, I reanalyzed data from three studies in which participants completed measures of WMC and a simple RT task with a variable FP. Results suggest that individual differences in WMC were related to the magnitude of the variable FP and the sequential FP effect in two of three individual studies. A "mega-analysis" provided supportive evidence for a relationship between WMC and both forms of FP effects. The present combined experimental-individual differences study provides a novel approach to better understand how and why individuals vary in temporal preparation ability. Through leveraging several large-scale databases unseen in FP research, I provide a new way of understanding FP effects and response timing more generally.
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Affiliation(s)
- Matthew S Welhaf
- Department of Psychological and Brain Sciences, Washington University in St. Louis, CB 1125 One Brookings Drive, St. Louis, St. Louis, MO, 63130-4899, USA.
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2
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Fjell AM, Walhovd KB. Individual sleep need is flexible and dynamically related to cognitive function. Nat Hum Behav 2024; 8:422-430. [PMID: 38379065 DOI: 10.1038/s41562-024-01827-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/15/2024] [Indexed: 02/22/2024]
Abstract
Given that sleep deprivation studies consistently show that short sleep causes neurocognitive deficits, the effects of insufficient sleep on brain health and cognition are of great interest and concern. Here we argue that experimentally restricted sleep is not a good model for understanding the normal functions of sleep in naturalistic settings. Cross-disciplinary research suggests that human sleep is remarkably dependent on environmental conditions and social norms, thus escaping universally applicable rules. Sleep need varies over time and differs between individuals, showing a complex relationship with neurocognitive function. This aspect of sleep is rarely addressed in experimental work and is not reflected in expert recommendations about sleep duration. We recommend focusing on the role of individual and environmental factors to improve our understanding of the relationship between human sleep and cognition.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.
- Center for Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway.
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Center for Computational Radiology and Artificial Intelligence, Oslo University Hospital, Oslo, Norway
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Jurgelis M, Boardman JM, Coxon JP, Drummond SPA, Chong TTJ. Sleep Restriction Reduces Cognitive but Not Physical Motivation. Nat Sci Sleep 2022; 14:2001-2012. [PMID: 36394069 PMCID: PMC9642807 DOI: 10.2147/nss.s368335] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022] Open
Abstract
PURPOSE Motivation is an important driver of behaviour, and several frameworks distinguish the willingness of individuals to invest cognitive versus physical effort to achieve a goal. One outstanding question is whether sleep loss lowers motivation within specific domains of effort, or has a global effect on motivation across multiple domains. Here, we investigated the effects of sleep restriction on the motivation to invest cognitive or physical effort in return for reward. MATERIALS AND METHODS 24 healthy young adults (11 females) completed an effort-based decision-making task over two laboratory sessions - once while sleep restricted (three consecutive nights with a three-hour sleep opportunity), and the other while fully rested (nine-hour sleep opportunity on each night). In an initial reinforcement phase, participants were trained to ceiling performance across six levels of effort on separate cognitively and physically demanding tasks. Then, in the critical decision-making phase, participants revealed their preference for how much cognitive or physical effort they would be willing to invest for reward. RESULTS Sleep restriction reduced the willingness to exert cognitive effort, but spared motivation in the physical domain. Furthermore, the reduction in cognitive motivation appeared to be a primary motivational deficit, which could not be attributed to differences in reward-likelihood of different levels of effort or the temporal structure of the task. CONCLUSION The results suggest that sleep restriction has a selective effect on cognitive over physical motivation, which has significant implications for real-world settings in which individuals must maintain high levels of cognitive motivation in the face of chronic sleep loss.
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Affiliation(s)
- Mindaugas Jurgelis
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, 3800, Australia.,School of Psychological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Johanna M Boardman
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, 3800, Australia.,School of Psychological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - James P Coxon
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, 3800, Australia.,School of Psychological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Sean P A Drummond
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, 3800, Australia.,School of Psychological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Trevor T J Chong
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, 3800, Australia.,School of Psychological Sciences, Monash University, Melbourne, Victoria, 3800, Australia.,Department of Neurology, Alfred Health, Melbourne, Victoria, 3004, Australia.,Department of Clinical Neurosciences, St Vincent's Hospital, Melbourne, Victoria, 3065, Australia
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Grèzes J, Erblang M, Vilarem E, Quiquempoix M, Van Beers P, Guillard M, Sauvet F, Mennella R, Rabat A. Impact of total sleep deprivation and related mood changes on approach-avoidance decisions to threat-related facial displays. Sleep 2021; 44:zsab186. [PMID: 34313789 PMCID: PMC8664577 DOI: 10.1093/sleep/zsab186] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/14/2021] [Indexed: 11/26/2022] Open
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 h 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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Affiliation(s)
- Julie Grèzes
- Cognitive and Computational Neuroscience Laboratory (LNC Inserm U960), Department of Cognitive Studies, École Normale Supérieure, PSL University, Paris, France
| | - Mégane Erblang
- Laboratoire de Biologie de l’Exercice pour la Performance et la Santé (LBEPS), Université d’Evry, IRBA, Université de Paris Saclay, Evry-Courcouronnes, France
| | - Emma Vilarem
- Cognitive and Computational Neuroscience Laboratory (LNC Inserm U960), Department of Cognitive Studies, École Normale Supérieure, PSL University, Paris, France
| | - Michael Quiquempoix
- Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de recherche biomédicale des armées (IRBA), Brétigny sur Orge cedex, France
- Equipe d’accueil VIgilance FAtigue SOMmeil (VIFASOM), EA 7330, Hôtel Dieu, Université de Paris, France
| | - Pascal Van Beers
- Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de recherche biomédicale des armées (IRBA), Brétigny sur Orge cedex, France
- Equipe d’accueil VIgilance FAtigue SOMmeil (VIFASOM), EA 7330, Hôtel Dieu, Université de Paris, France
| | - Mathias Guillard
- Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de recherche biomédicale des armées (IRBA), Brétigny sur Orge cedex, France
- Equipe d’accueil VIgilance FAtigue SOMmeil (VIFASOM), EA 7330, Hôtel Dieu, Université de Paris, France
| | - Fabien Sauvet
- Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de recherche biomédicale des armées (IRBA), Brétigny sur Orge cedex, France
- Equipe d’accueil VIgilance FAtigue SOMmeil (VIFASOM), EA 7330, Hôtel Dieu, Université de Paris, France
| | - Rocco Mennella
- Cognitive and Computational Neuroscience Laboratory (LNC Inserm U960), Department of Cognitive Studies, École Normale Supérieure, PSL University, Paris, France
- Laboratory on the Interactions between Cognition, Action, and Emotion (LICAE) – Paris Nanterre University, Nanterre, France
| | - Arnaud Rabat
- Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de recherche biomédicale des armées (IRBA), Brétigny sur Orge cedex, France
- Equipe d’accueil VIgilance FAtigue SOMmeil (VIFASOM), EA 7330, Hôtel Dieu, Université de Paris, France
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Classifying attentional vulnerability to total sleep deprivation using baseline features of Psychomotor Vigilance Test performance. Sci Rep 2019; 9:12102. [PMID: 31431644 PMCID: PMC6702200 DOI: 10.1038/s41598-019-48280-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/29/2019] [Indexed: 01/21/2023] Open
Abstract
There are strong individual differences in performance during sleep deprivation. We assessed whether baseline features of Psychomotor Vigilance Test (PVT) performance can be used for classifying participants’ relative attentional vulnerability to total sleep deprivation. In a laboratory, healthy adults (n = 160, aged 18–30 years) completed a 10-min PVT every 2 h while being kept awake for ≥24 hours. Participants were categorized as vulnerable (n = 40), intermediate (n = 80), or resilient (n = 40) based on their number of PVT lapses during one night of sleep deprivation. For each baseline PVT (taken 4–14 h after wake-up time), a linear discriminant model with wrapper-based feature selection was used to classify participants’ vulnerability to subsequent sleep deprivation. Across models, classification accuracy was about 70% (range 65–76%) using stratified 5-fold cross validation. The models provided about 78% sensitivity and 86% specificity for classifying resilient participants, and about 70% sensitivity and 89% specificity for classifying vulnerable participants. These results suggest features derived from a single 10-min PVT at baseline can provide substantial, but incomplete information about a person’s relative attentional vulnerability to total sleep deprivation. In the long term, modeling approaches that incorporate baseline performance characteristics can potentially improve personalized predictions of attentional performance when sleep deprivation cannot be avoided.
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