-
Reviews in Endocrine & Metabolic... Aug 2022The modern obesogenic environment contains an abundance of food cues (e.g., sight, smell of food) as well cues that are associated with food through learning and memory... (Review)
Review
The modern obesogenic environment contains an abundance of food cues (e.g., sight, smell of food) as well cues that are associated with food through learning and memory processes. Food cue exposure can lead to food seeking and excessive consumption in otherwise food-sated individuals, and a high level of food cue responsivity is a risk factor for overweight and obesity. Similar food cue responses are observed in experimental rodent models, and these models are therefore useful for mechanistically identifying the neural circuits mediating food cue responsivity. This review draws from both experimental rodent models and human data to characterize the behavioral and biological processes through which food-associated stimuli contribute to overeating and weight gain. Two rodent models are emphasized - cue-potentiated feeding and Pavlovian-instrumental transfer - that provide insight in the neural circuits and peptide systems underlying food cue responsivity. Data from humans are highlighted that reveal physiological, psychological, and neural mechanisms that connect food cue responsivity with overeating and weight gain. The collective literature identifies connections between heightened food cue responsivity and obesity in both rodents and humans, and identifies underlying brain regions (nucleus accumbens, amygdala, orbitofrontal cortex, hippocampus) and endocrine systems (ghrelin) that regulate food cue responsivity in both species. These species similarities are encouraging for the possibility of mechanistic rodent model research and further human research leading to novel treatments for excessive food cue responsivity in humans.
Topics: Cues; Feeding Behavior; Humans; Hyperphagia; Obesity; Weight Gain
PubMed: 35482137
DOI: 10.1007/s11154-022-09724-x -
Journal of Safety Research Jun 2023Amongst pool lifeguards, the capacity to identify drowning swimmers quickly and accurately depends on the interpretation of critical cues. However, assessing the...
INTRODUCTION
Amongst pool lifeguards, the capacity to identify drowning swimmers quickly and accurately depends on the interpretation of critical cues. However, assessing the capacity for cue utilization amongst lifeguards at present is costly, time-consuming, and largely subjective. The aim of this study was to test the relationship between cue utilization and the detection of drowning swimmers in a series of virtual public swimming pool scenarios.
METHOD
Eighty-seven participants with or without lifeguarding experience engaged in three virtual scenarios, two of which were target scenarios where drowning events occurred within a 13 minute or 23 minute period of watch. Cue utilization was assessed using the pool lifeguarding edition of the EXPERTise 2.0 software following which 23 participants were classified with higher cue utilization, while the remaining participants were classified with lower cue utilization.
RESULTS
The results revealed that participants with higher cue utilization were more likely to have acquired experience as a lifeguard, were more likely to detect the drowning swimmer within a three minute period, and, in the case of the 13 minute scenario, recorded a greater dwell time on the drowning victim prior to the drowning event.
CONCLUSION
The results suggest that cue utilization is associated with drowning detection performance in a simulated environment and could be employed as a basis for assessments of performance amongst lifeguards in the future.
PRACTICAL IMPLICATIONS
Measures of cue utilization are associated with the timely detection of drowning victims in virtual pool lifeguarding scenarios. Employers and trainers of lifeguards can potentially augment existing lifeguarding assessment programs to quickly and cost-effectively identify the capabilities of lifeguards. This is especially useful for new lifeguards or where pool lifeguarding is a seasonal activity that might be associated with skill decay.
Topics: Humans; Drowning; Cues; Swimming Pools; Records
PubMed: 37330888
DOI: 10.1016/j.jsr.2023.04.006 -
Obesity Reviews : An Official Journal... Feb 2016According to learning-based models of behavior, food cue reactivity and craving are conditioned responses that lead to increased eating and subsequent weight gain.... (Meta-Analysis)
Meta-Analysis Review
According to learning-based models of behavior, food cue reactivity and craving are conditioned responses that lead to increased eating and subsequent weight gain. However, evidence supporting this relationship has been mixed. We conducted a quantitative meta-analysis to assess the predictive effects of food cue reactivity and craving on eating and weight-related outcomes. Across 69 reported statistics from 45 published reports representing 3,292 participants, we found an overall medium effect of food cue reactivity and craving on outcomes (r = 0.33, p < 0.001; approximately 11% of variance), suggesting that cue exposure and the experience of craving significantly influence and contribute to eating behavior and weight gain. Follow-up tests revealed a medium effect size for the effect of both tonic and cue-induced craving on eating behavior (r = 0.33). We did not find significant differences in effect sizes based on body mass index, age, or dietary restraint. However, we did find that visual food cues (e.g. pictures and videos) were associated with a similar effect size to real food exposure and a stronger effect size than olfactory cues. Overall, the present findings suggest that food cue reactivity, cue-induced craving and tonic craving systematically and prospectively predict food-related outcomes. These results have theoretical, methodological, public health and clinical implications.
Topics: Behavior, Addictive; Bulimia; Craving; Cues; Evidence-Based Practice; Feeding Behavior; Food; Humans; Impulsive Behavior; Obesity; Weight Gain
PubMed: 26644270
DOI: 10.1111/obr.12354 -
Journal of Intelligence Aug 2023Social mentalizing plays a crucial role in two-person interactions. Depending on the target of inference and the content being inferred, social mentalizing primarily...
Social mentalizing plays a crucial role in two-person interactions. Depending on the target of inference and the content being inferred, social mentalizing primarily exists in two forms: first-order mentalizing and second-order mentalizing. Our research aims to investigate the cue sources and cue utilization patterns of social mentalizing during two-person interactions. Our study created an experimental situation of a two-person interaction and used the "Spot the difference" game to reveal our research question with multi-stage tasks. Our study was divided into two experiments, Experiment 1 and Experiment 2, which examined the cue sources and cue utilization patterns of first- and second-order mentalizing, respectively. The results of the experiments showed that (1) self-performance and other performance are significant cues utilized by individuals during social mentalizing. (2) Individuals employ discrepancies to modulate the relationship between self-performance and first-order mentalizing as well as to adjust the relationship between otherperformance and second-order mentalizing. The results of this study further complement the dual-processing model of mindreading and the anchoring and adjustment hypothesis during social inference.
PubMed: 37754902
DOI: 10.3390/jintelligence11090173 -
Current Microbiology Dec 2022Microbial carbon use efficiency (CUE)-the balance between microbial growth and respiration-strongly impacts microbial mediated soil carbon storage and is sensitive to... (Review)
Review
Microbial carbon use efficiency (CUE)-the balance between microbial growth and respiration-strongly impacts microbial mediated soil carbon storage and is sensitive to many well-studied abiotic environmental factors. However, surprisingly, little work has examined how biotic interactions in soil may impact CUE. Here, we review the theoretical and empirical lines of evidence exploring how biotic interactions affect CUE through the lens of life history strategies. Fundamentally, the CUE of a microbial population is constrained by population density and carrying capacity, which, when reached, causes species to grow more quickly and less efficiently. When microbes engage in interspecific competition, they accelerate growth rates to acquire limited resources and release secondary chemicals toxic to competitors. Such processes are not anabolic and thus constrain CUE. In turn, antagonists may activate one of a number of stress responses that also do not involve biomass production, potentially further reducing CUE. In contrast, facilitation can increase CUE by expanding species realized niches, mitigating environmental stress and reducing production costs of extracellular enzymes. Microbial interactions at higher trophic levels also influence CUE. For instance, predation on microbes can positively or negatively impact CUE by changing microbial density and the outcomes of interspecific competition. Finally, we discuss how plants select for more or less efficient microbes under different contexts. In short, this review demonstrates the potential for biotic interactions to be a strong regulator of microbial CUE and additionally provides a blueprint for future research to address key knowledge gaps of ecological and applied importance for carbon sequestration.
Topics: Carbon; Soil; Biomass; Microbial Interactions
PubMed: 36459292
DOI: 10.1007/s00284-022-02979-2 -
International Journal of Environmental... Sep 2020The experience of craving via exposure to drug-related cues often leads to relapse in drug users. This study consolidated existing empirical evidences of cue reactivity... (Review)
Review
The experience of craving via exposure to drug-related cues often leads to relapse in drug users. This study consolidated existing empirical evidences of cue reactivity to methamphetamine to provide an overview of current literature and to inform the directions for future research. The best practice methodological framework for conducting scoping review by Arkey and O'Malley was adopted. Studies that have used a cue paradigm or reported on cue reactivity in persons with a history of methamphetamine use were included. Databases such as Medline, EMBASE, PsycINFO and CINAHL were searched using key terms, in addition to citation check and hand search. The search resulted in a total of 32 original research articles published between 2006 to 2020. Three main themes with regard to cue reactivity were identified and synthesized: (1) effects of cue exposure, (2) individual factors associated with cue reactivity, and (3) strategies that modulate craving or reactivity to cues. Exposure to methamphetamine-associated cues elicits significant craving and other autonomic reactivity. Evidence suggests that drug cue reactivity is strongly associated with indices of drug use and other individual-specific factors. Future studies should focus on high quality studies to support evidence-based interventions for reducing cue reactivity and to examine cue reactivity as an outcome measure.
Topics: Craving; Cues; Humans; Methamphetamine; Recurrence; Substance-Related Disorders
PubMed: 32906716
DOI: 10.3390/ijerph17186504 -
Cell May 2003The first structures have been obtained for complexes between CUE domains and monoubiquitin, one by NMR (Kang et al., this issue of Cell) and one by X-ray... (Review)
Review
The first structures have been obtained for complexes between CUE domains and monoubiquitin, one by NMR (Kang et al., this issue of Cell) and one by X-ray crystallography (Prag et al., this issue of Cell), thus providing insights into ubiquitin recognition by CUE domains. Structural comparisons suggest that different CUE surfaces can interact with ubiquitin, indicating that not all CUE domains are created equal.
Topics: Animals; Carrier Proteins; Eukaryotic Cells; Humans; Membrane Proteins; Protein Structure, Secondary; Protein Structure, Tertiary; Saccharomyces cerevisiae Proteins; Signal Transduction; Ubiquitin; Yeasts
PubMed: 12787494
DOI: 10.1016/s0092-8674(03)00398-2 -
Journal of Vision Jul 2022Visual attention can be allocated to locations or objects, leading to enhanced processing of information at the specific location (space-based effects) or specific...
Visual attention can be allocated to locations or objects, leading to enhanced processing of information at the specific location (space-based effects) or specific object (object-based effects). Previous studies have observed object-based effects to be smaller and less robust than space-based effects, with large individual differences in their temporal occurrence. Studies on space- and object-based effects are often based on a two-rectangle paradigm in which targets appear at cued locations more often than uncued locations. It is, however, unclear whether and how the target's spatial probability affects the temporal occurrence of these effects. In three experiments with different cue validities (80%, 50% and 33%), we systematically changed the interval between the cue and the target from 50 to 600 ms. On a group level and for individuals, we examined how cue validity affects the occurrence of object- and space-based effects. We observed that the magnitude and the prevalence of space-based effects heavily decreased with reduced cue validity. Object-based effects became even more sparse and turned increasingly negative with decreasing cue validity, representing a different-object rather than a same-object advantage. These findings indicate that changes in cue-validity affect both space- and object-based effects, but it does not account for the low prevalence and magnitude of object-based effects.
Topics: Cues; Humans; Reaction Time; Space Perception
PubMed: 35881412
DOI: 10.1167/jov.22.8.15 -
Learning & Memory (Cold Spring Harbor,... Sep 2018Environmental cues associated with rewards can acquire motivational properties. However, there is considerable variation in the extent to which a reward cue gains... (Review)
Review
Environmental cues associated with rewards can acquire motivational properties. However, there is considerable variation in the extent to which a reward cue gains motivational control over behavior, depending on the individual and the form of the cue. When a discrete cue is paired with food reward, it acquires greater control over motivated behavior in some rats (sign-trackers, STs) than others (goal-trackers, GTs) as indicated by the propensity to approach the cue, the willingness to work to obtain it, and its ability to reinstate reward-seeking behavior. Here, we review studies that employ this ST/GT animal model to investigate characteristics of individuals that are especially susceptible to reward cue-elicited behavior and the involvement of dopamine and acetylcholine neuromodulator systems in the susceptibility to cue-induced drug relapse. First, we discuss individual differences in the attribution of incentive salience to different forms of reward cues and the involvement of the mesolimbic dopamine system. We then discuss individual differences in cognitive/attentional control and the contributions of the cholinergic system in processing reward cues. It is suggested that in STs a propensity to attribute motivational properties to a drug cue is combined with poor attentional control in the face of these cues, making them particularly vulnerable to transition from casual/experimental patterns of drug use to addiction and to cue-induced relapse.
Topics: Animals; Behavior, Animal; Brain; Cues; Executive Function; Goals; Motivation; Rats; Reward; Substance-Related Disorders
PubMed: 30115769
DOI: 10.1101/lm.046995.117 -
Frontiers in Psychology 2017We draw upon the Associative Network model of memory, as well as the principles of encoding-retrieval specificity, and cue distinctiveness, to argue that self-generated... (Review)
Review
We draw upon the Associative Network model of memory, as well as the principles of encoding-retrieval specificity, and cue distinctiveness, to argue that self-generated cue mnemonics offer an intuitive means of facilitating reliable recall of personally experienced events. The use of a self-generated cue mnemonic allows for the spreading activation nature of memory, whilst also presenting an opportunity to capitalize upon cue distinctiveness. Here, we present the theoretical rationale behind the use of this technique, and highlight the distinction between a self-generated cue and a self-referent cue in autobiographical memory research. We contrast this mnemonic with a similar retrieval technique, Mental Reinstatement of Context, which is recognized as the most effective mnemonic component of the Cognitive Interview. Mental Reinstatement of Context is based upon the principle of encoding-retrieval specificity, whereby the overlap between encoded information and retrieval cue predicts the likelihood of accurate recall. However, it does not incorporate the potential additional benefit of self-generated retrieval cues.
PubMed: 29163254
DOI: 10.3389/fpsyg.2017.01830