Attentional capture by signals of reward persists following outcome devaluation.

Attention, the mechanism that prioritizes stimuli in the environment for further processing, plays an important role in behavioral choice. In the present study, we investigated the automatic orienting of attention to cues that signal reward. Such attentional capture occurs despite negative consequences, and we investigated whether this counterproductive and reflexive behavior would persist following outcome devaluation. Thirsty participants completed a visual search task in which the color of a distractor stimulus in the search display signaled whether participants would earn water or potato chips for making a rapid eye movement to a diamond target, but looking at the colored distractor was punished by omission of the signaled reward. Nevertheless, participants looked at the water-signaling distractor more frequently than the chip-signaling distractor. Half the participants then drank water ad libitum before continuing with the visual search task. Although the water was now significantly less desirable for half of the participants, there was no difference between groups in the tendency for the water-signaling distractor to capture attention. These findings suggest that once established, counterproductive attentional bias to signals of reward persists even when those outcomes are no longer valuable. This suggests a "habit-like" attentional mechanism that prioritizes reward stimuli in the environment for further action, regardless of whether those stimuli are aligned with current goals or currently desired.

Eating restraint is associated with reduced attentional capture by signals of valuable food reward.

Previous paradigms used to examine attentional distraction by task-irrelevant food words and food images were not suited for the investigation of involuntary and automatic attentional capture. In the current experiments we adapted a well-established visual-search paradigm (with eye tracking) to investigate involuntary attentional capture by food and drink rewards. We first used a satiety procedure to manipulate relative preference for different food and drink outcomes (potato chips and water in Experiment 1 and popcorn and chocolate Smarties in Experiment 2). Participants then performed the visual-search task where a coloured distractor signalled on each trial which of the two food and drink rewards was available for successful identification of the target. The signalled reward was cancelled, however, if any eye gaze was registered on the distractor. Participants were therefore motivated to try and control the automatic orienting of attention towards cues signalling valuable outcomes, in order to earn those outcomes. In both experiments we found that attention was more often captured by the distractor signalling the valuable (non-sated) outcome, replicating previous studies using this paradigm with monetary rewards. We also found that those scoring high on eating restraint (as measured with the Dutch Eating Behavior Questionnaire) were better at controlling reflexive orienting of attention to desirable food rewards. This paradigm offers a novel approach for understanding how reflexive attention and control relate to conflicts in everyday life around distracting food cues, and the moderating role of dietary restraint.

Competing influences on healthy food choices: Mindsetting versus contextual food cues.

Food choices are influenced by one's current mindset, suggesting that supporting health (vs. a palatability) mindsets could improve daily food choices. The question rises, however, to what extent internal mindsets still guide choices when people are exposed to external food-context stimuli in an obesogenic environment. To examine these two competing effects we induced health vs. palatability mindsets, and investigated the robustness of the mindset effect by presenting food-context stimuli during a Pavlovian-to-Instrumental-Transfer (PIT) task in two separate cohorts of 102 (76 females) Dutch and 120 (60 females) German participants. For the mindset induction, participants rated food items on visual analogue scales (VAS), based on healthiness and palatability, respectively. In each cohort, half of the participants received a health, the other half a palatability mindset induction. Additionally, we explored whether 'mindset triggers' could be used to further shape behavior. Triggers were established by placing unfamiliar logos at the extreme ends of the VASs used for the mindset inductions. Independent of the mindset, food-associated stimuli influenced food choices in accordance with the previously learned association in each test phase. Health mindset induction biased food choices towards healthier, palatability mindset towards unhealthier choices in the first cohort, but not in the second. The mindset triggers had a more robust effect. These induced healthier (triggers for healthy and not-palatable) and unhealthier (triggers for unhealthy and palatable) food choices in both cohorts alike. Interestingly, these effects did not tamper with the overall effect of Pavlovian cues and were thus true in the presence and absence of food-context stimuli. Therefore, we show that, in our experimental setting, food-associated mindset triggers can be used to bias food choices towards a healthy snack even in an obesogenic environment.

Physiological and subjective validation of a novel stress procedure: The Simple Singing Stress Procedure.

Laboratory stress-induction procedures have been critical in illuminating the effects of stress on human health, cognition, and functioning. Here, we present a novel stress induction procedure, the Simple Singing Stress Procedure (SSSP), that overcomes some of the practical challenges and conceptual limitations of existing procedures in measuring the causal influence of stress on psychological variables. In the stress condition of the SSSP, participants were instructed to sing a song in front of the experimenter while being video- and audio-recorded. Participants were also informed that they would have to sing again at the end of the experiment, and that this second performance would later be assessed by a panel of experimenters. Participants in a no-stress condition instead read lyrics in each phase. Our findings revealed that participants in the stress condition showed significantly higher blood pressure immediately following the initial singing session, as well as heightened salivary cortisol at a latency consistent with the initial singing session, than those in the no-stress condition. Our stress procedure also generated elevations in self-reported stress ratings immediately after the first singing session and subsequently in anticipation of the second singing session, relative to the no-stress condition. Collectively, these findings suggest that the SSSP is a simple and effective stress induction procedure that may be a promising alternative to existing protocols.

Capture and Control: Working Memory Modulates Attentional Capture by Reward-Related Stimuli.

Physically salient but task-irrelevant distractors can capture attention in visual search, but resource-dependent, executive-control processes can help reduce this distraction. However, it is not only physically salient stimuli that grab our attention: Recent research has shown that reward history also influences the likelihood that stimuli will capture attention. Here, we investigated whether resource-dependent control processes modulate the effect of reward on attentional capture, much as for the effect of physical salience. To this end, we used eye tracking with a rewarded visual search task and compared performance under conditions of high and low working memory load. In two experiments, we demonstrated that oculomotor capture by high-reward distractor stimuli is enhanced under high memory load. These results highlight the role of executive-control processes in modulating distraction by reward-related stimuli. Our findings have implications for understanding the neurocognitive processes involved in real-life conditions in which reward-related stimuli may influence behavior, such as addiction.

Failing to pay heed to health warnings in a food-associated environment.

People often fail to adhere to food-related health information. Increasing evidence suggests that environmental stimuli interfere with good intentions by triggering choices relatively automatically. Using a Pavlovian-instrumental transfer (PIT) task, we examined whether food-associated stimuli reduce health warnings' effectiveness. We expected that people adhere to health warnings in the absence, but not presence, of food-associated stimuli. In addition, we examined timing effects, i.e., whether health warnings are more effective when they are given prior to associative learning rather than afterwards. In the PIT task, participants learned to press keys for two food rewards (instrumental learning) and associations between stimuli and these rewards (Pavlovian learning) in separated phases. Health warnings about one reward were given after associative learning (Study 1), or before versus afterwards (Study 2). During test phase, participants pressed for food outcomes while occasionally food-related stimuli were presented. In absence of food-related stimuli, participants increased responding for rewards perceived as more healthy. However, when stimuli were present, responding was biased towards the signaled outcome, regardless of health warnings or timing. Health messages influence food choice behavior, but are no longer effective when food-associated stimuli are present. This provides important insights why health warning effects might be limited in an obesogenic environment.

Dissociable corticostriatal circuits underlie goal-directed vs. cue-elicited habitual food seeking after satiation: evidence from a multimodal MRI study.

The present multimodal MRI study advances our understanding of the corticostriatal circuits underlying goal-directed vs. cue-driven, habitual food seeking. To this end, we employed a computerized Pavlovian-instrumental transfer paradigm. During the test phase, participants were free to perform learned instrumental responses (left and right key presses) for popcorn and Smarties outcomes. Importantly, prior to this test half of the participants had been sated on popcorn and the other half on Smarties - resulting in a reduced desirability of those outcomes. Furthermore, during a proportion of the test trials, food-associated Pavlovian cues were presented in the background. In line with previous studies, we found that participants were able to perform in a goal-directed manner in the absence of Pavlovian cues, meaning that specific satiation selectively reduced responding for that food. However, presentation of Pavlovian cues biased choice toward the associated food reward regardless of satiation. Functional MRI analyses revealed that, in the absence of Pavlovian cues, posterior ventromedial prefrontal cortex tracked outcome value. In contrast, during cued trials, the BOLD signal in the posterior putamen differentiated between responses compatible and incompatible with the cue-associated outcome. Furthermore, we identified a region in ventral amygdala showing relatively strong functional connectivity with posterior putamen during the cued trials. Structural MRI analyses provided converging evidence for the involvement of corticostriatal circuits: diffusion tensor imaging data revealed that connectivity of caudate-seeded white-matter tracts to the ventromedial prefrontal cortex predicted responding for still-valuable outcomes; and gray matter integrity in the premotor cortex predicted individual Pavlovian cueing effects.

Biased choice and incentive salience: Implications for addiction.

Before we can make any choice, we must gather information from the environment about what our options are. This information-gathering process is critically mediated by attention, and our attention is, in turn, shaped by our previous experiences with-and learning about-stimuli and their consequences. In this review, we highlight studies demonstrating a rapid and automatic influence of reward learning on attentional capture and argue that these findings provide a human analog of sign-tracking behavior observed in nonhuman animals-wherein signals of reward gain incentive salience and become attractive targets for attention (and overt behavior) in their own right. We then consider the implications of this idea for understanding the drivers of cue-controlled behavior, with focus on addiction as a case in which choices with regard to reward-related stimuli can become injurious to health. We argue that motivated behavior in general-and addiction in particular-can be understood within a "biased competition" framework: Different options and outcomes compete for attentional priority as a function of top-down goals, bottom-up salience, and prior experience, and the winner of this competition becomes the target for subsequent outcome-directed and flexible behavior. Finally, we outline the implications of the biased-competition framework for cognitive, behavioral, and socioeconomic interventions for addiction. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effects of outcome revaluation on attentional prioritisation of reward-related stimuli.

Stimuli associated with rewards can acquire the ability to capture our attention independently of our goals and intentions. Here, we examined whether attentional prioritisation of reward-related cues is sensitive to changes in the value of the reward itself. To this end, we incorporated an instructed outcome devaluation (Experiment 1a), "super-valuation" (Experiment 1b), or value switch (Experiment 2) into a visual search task, using eye-tracking to examine attentional prioritisation of stimuli signalling high- and low-value rewards. In Experiments 1a and 1b, we found that prioritisation of high- and low-value stimuli was insensitive to devaluation of a previously high-value outcome, and super-valuation of a previously low-value outcome, even when participants were provided with further experience of receiving that outcome. In Experiment 2, following a value-switch manipulation, we found that prioritisation of a high-value stimulus could not be overcome with knowledge of the new values of outcomes alone. Only when provided with further experience of receiving the outcomes did patterns of attentional prioritisation of high- and low-value stimuli switch, in line with the updated values of the outcomes they signalled. To reconcile these findings, we suggest that participants were motivated to engage in effortful updating of attentional control settings when there was a relative difference between reward values at test (Experiment 2) but that previous settings were allowed to persist when both outcomes had the same value at test (Experiments 1a and 1b). These findings provide a novel framework to further understand the role of cognitive control in driving reward-modulated attention and behaviour.

Prospective Distractor Information Reduces Reward-Related Attentional Capture.

Motivationally salient stimuli, such as those associated with reward, can automatically gain attentional prioritisation - even when individuals are motivated to ignore such stimuli. This 'attentional bias for reward' has often been interpreted as evidence for involuntary Pavlovian 'sign tracking' behaviour. The prioritisation of reward-signalling distractors may additionally reflect a drive to gain information about the state of the world, irrespective of the particular reward that is being signalled. In the current study we assessed whether forewarning participants on each trial as to the upcoming features of a distractor would reduce reward-related attentional capture. This manipulation reduces the information provided by the distractor, without affecting the magnitude of the signalled reward. Using eye tracking in Experiment 1, we found that reward-related attentional capture was virtually eliminated when participants were informed of the upcoming distractor colour (relative to the baseline condition when no information was provided). In Experiment 2, using a response-time version of the task, we again found a significant reduction in reward-related attentional capture when participants received information about the colour of an upcoming distractor, or information about the value of the upcoming reward. Finally, in Experiment 3 we assessed whether participants were using the pre-trial information to strategically inhibit attention to the upcoming distractor colour. The results of these experiments are discussed within the context of information-seeking accounts of reward-related attentional capture effects.

Sign-tracking to non-drug reward is related to severity of alcohol-use problems in a sample of individuals seeking treatment.

BACKGROUND: A prominent neuroscientific theory of drug addiction is the incentive sensitization model. Individual differences in the tendency to ascribe motivational salience to cues that predict reward, and involuntary "sign-tracking" (orientation towards) such cues have been identified as potentially important in understanding vulnerability to addiction and relapse. However, to date this behaviour has not been assessed in a treatment-seeking clinical population, who typically represent those most susceptible to alcohol-related harms and episodes of relapse. This highlights a significant gap in the literature pertaining to incentive sensitization and drug dependence. METHODS: Individuals accessing inpatient drug and alcohol services with alcohol as primary drug of concern were recruited to participate in a Cognitive Bias Modification (CBM) intervention. At the baseline assessment, participants completed various self-report measures (including the Alcohol Use Disorders Identification Test; AUDIT) in addition to a visual search task measuring sign-tracking to cues signalling monetary reward. At 3-month follow up, abstinence from alcohol was the primary outcome measure. All analyses and hypotheses were pre-registered. RESULTS: At baseline (57 participants), AUDIT scores correlated with sign-tracking to signals of monetary reward. In a subsequent regression analysis sign-tracking, gender and self-reported alcohol craving predicted abstinence at 3-month follow up (41 participants). CONCLUSIONS: Our work demonstrates that involuntary sign-tracking to cues signalling non-drug reward is associated with problematic alcohol use and return to use at 3-month follow up, in a treatment-seeking sample. Whether this automatic prioritisation of cues signalling reward is a consequence or vulnerability for problematic alcohol use remains to be investigated.

Corticostriatal connectivity underlies individual differences in the balance between habitual and goal-directed action control.

Why are some individuals more susceptible to the formation of inflexible habits than others? In the present study, we used diffusion tensor imaging to demonstrate that brain connectivity predicts individual differences in relative goal-directed and habitual behavioral control in humans. Specifically, vulnerability to habitual "slips of action" toward no-longer-rewarding outcomes was predicted by estimated white matter tract strength in the premotor cortex seeded from the posterior putamen (as well as by gray matter density in the posterior putamen as determined with voxel-based morphometry). In contrast, flexible goal-directed action was predicted by estimated tract strength in the ventromedial prefrontal cortex seeded from the caudate. These findings suggest that integrity of dissociable corticostriatal pathways underlies individual differences in action control in the healthy population, which may ultimately mediate vulnerability to impulse control disorders.

Images of Australian alcoholic and non-alcoholic beverages: A validation dataset.

For multi-session alcohol cognitive bias modification, a large image dataset depicting both alcohol and non-alcoholic beverages is required. We photographed a wide range of beverages and then validated them in a group of Australian community participants: 47 women and 39 men, aged from 18 to 73, who drank alcohol at least occasionally in the last year, with Alcohol Use Disorder Identification Test (AUDIT) scores ranging from 1 to 33. Participants were asked to categorize images as alcoholic vs non-alcoholic, rate the familiarity of each beverage and rate their craving for each beverage. The dataset includes all images and ratings for each image, stratified by gender and high/low AUDIT scores. Mean ratings per participant per beverage category are also provided.

Mechanisms underlying performance in a cued go/no-go Pavlovian-to-instrumental transfer paradigm.

Environmental cues that remind us of rewarding outcomes (drugs, food) play a significant role in addiction relapse. In the lab the Pavlovian-to-instrumental transfer (PIT) task has been used to formally examine how cues associated with reward or punishment can bias ongoing instrumental responding. Using a version of this paradigm that integrates PIT with a go/no-go task many studies have related stronger PIT effects (with non-drug rewards) to problematic alcohol use including risky alcohol users relative to non-risky drinkers, individuals with alcohol dependence versus healthy controls and individuals in recovery from alcohol use disorder who are more likely to relapse. However the theoretical importance of these findings and the implications for models of addiction was previously not clear. Understanding if this task indexes the general motivating effects of reward cues on instrumental responding (and whether this is sensitive to shifts in motivation for those outcomes) is critical for understanding these previous results within the context of addiction. Thus, in the current study we aimed to delineate the associative mechanisms that drive the stimulus effects observed in this PIT task. Specifically, we wished to examine whether the cueing effects observed in the cued-go/no-go task were selective in their effect on action, insofar as Pavlovian cues specifically invigorated (or suppressed) responding only if they were associated with congruent outcomes. We conclude that the PIT measured with this task is general in nature. Surprisingly however, the biasing effects of Pavlovian cues on instrumental responding did not appear to be sensitive to outcome devaluation.

Enhanced recognition of emotional images is not affected by post-exposure exercise-induced arousal.

Research suggests that aerobic exercise (i.e., exercise aiming to improve cardiovascular fitness) promotes cognition, but the impact on memory specifically, is unclear. There is some evidence to suggest that as little as one session of post-learning exercise benefits memory consolidation. Furthermore, memory may be particularly facilitated by exercise when the individual is emotionally aroused while encoding stimuli. The current study tested whether exercise after exposure to neutral and emotional images improved memory consolidation of the items among university students. Ninety-nine students were randomly instructed to either exercise or not exercise after viewing a set of images that were positive, neutral, and negative in valence, and they were later tested on their memory. Although emotional images were remembered better than non-emotional images, the results suggested that exercise did not influence this effect or enhance consolidation of the items overall. Explanations and implications for these findings are discussed.

Making habits measurable beyond what they are not: A focus on associative dual-process models.

Habits are the subject of intense international research. Under the associative dual-process model the outcome devaluation paradigm has been used extensively to classify behaviours as being either goal-directed (sensitive to shifts in the value of associated outcomes) or habitual (triggered by stimuli without anticipation of consequences). This has proven to be a useful framework for studying the neurobiology of habit and relevance of habits in clinical psychopathology. However, in recent years issues have been raised about this rather narrow definition of habits in comparison to habitual behaviour experienced in the real world. Specifically, defining habits as the absence of goal-directed control, the very specific set-ups required to demonstrate habit experimentally and the lack of direct evidence for habits as stimulus-response behaviours are viewed as problematic. In this review paper we address key critiques that have been raised about habit research within the framework of the associative dual-process model. We then highlight novel research approaches studying different features of habits with methods that expand beyond traditional paradigms.

Reward learning and statistical learning independently influence attentional priority of salient distractors in visual search.

Existing research demonstrates different ways in which attentional prioritization of salient nontarget stimuli is shaped by prior experience: Reward learning renders signals of high-value outcomes more likely to capture attention than signals of low-value outcomes, whereas statistical learning can produce attentional suppression of the location in which salient distractor items are likely to appear. The current study combined manipulations of the value and location associated with salient distractors in visual search to investigate whether these different effects of selection history operate independently or interact to determine overall attentional prioritization of salient distractors. In Experiment 1, high-value and low-value distractors most frequently appeared in the same location; in Experiment 2, high-value and low-value distractors typically appeared in distinct locations. In both experiments, effects of distractor value and location were additive, suggesting that attention-promoting effects of value and attention-suppressing effects of statistical location-learning independently modulate overall attentional priority. Our findings are consistent with a view that sees attention as mediated by a common priority map that receives and integrates separate signals relating to physical salience and value, with signal suppression based on statistical learning determined by physical salience, but not incentive salience.

A meta-analysis of the relationship between eating restraint, impaired cognitive control and cognitive bias to food in non-clinical samples.

AIM: Food restriction is argued to be a precursor for unhealthy preoccupation with food, possibly leading to the development of an eating disorder. We updated previous meta-analyses that examined the relationship between eating restraint and deficits in either general or food-related attentional and inhibitory control. We hypothesized that inconsistencies in the literature around eating restraint, impaired cognitive control, impulsivity and cognitive biases for food could be attributed to the scale used to measure eating restraint. METHOD: A (preregistered) subgroup meta-analysis examined whether patterns of impaired cognitive control and cognitive bias for food in predominantly healthy (non-clinical) samples differed as a function of the scale used to measure eating restraint. A series of exploratory meta-analyses were carried out for specific attentional bias tasks. In total 57 datasets were included. RESULTS: The subgroup analysis did not provide evidence that the relationship between eating restraint and impaired or biased cognitions differed significantly as a function of restraint scale. Heterogeneity across studies was high. When examining specific attentional bias tasks there was no evidence that increased eating restraint was associated with increased attentional bias or distraction by food cues, regardless of which scale was used to measure eating restraint. CONCLUSIONS: There is little experimental evidence for the common narrative that increased eating restraint is related to impaired cognitive control generally or increased cognitive bias for food, in non-clinical samples.

Is the habit system altered in individuals with obesity? A systematic review.

Habit-like eating behavior is repeatedly pointed to as a key cognitive mechanism contributing to the emergence and maintenance of obesity. Here, we conducted a systematic review of the literature to assess the existent behavioral evidence for the Habit Hypothesis for Overeating (HHO) which states that obesity is the consequence of an imbalance between the habit and goal-directed reward learning systems, leading to overconsumption of food. We found a total of 19 studies implementing a variety of experimental protocols (i.e., free operant paradigm, slips-of-action test, two-step task, Pavlovian-to-Instrumental paradigm, probabilistic learning task) and manipulations. Taken together, the studies on clinical (binge eating disorder) and non-clinical individuals with overweight or obesity do not support the HHO conclusively. While the scientific literature on HHO is still in its infancy, the heterogeneity of the extant studies makes it difficult to evaluate the degree of convergence of these findings. Uncovering the role of reward learning systems in eating behaviors might have a transformative impact on public health.

You do it to yourself: Attentional capture by threat-signaling stimuli persists even when entirely counterproductive.

Recent research has demonstrated a counterproductive attentional bias toward threat-related stimuli: under conditions in which fixating on a color distractor stimulus sometimes resulted in an immediate shock, participants were nevertheless more likely to look at this threat-related distractor than a neutral distractor matched for physical salience. However, participants in that prior research may not have realized that their own actions caused delivery of aversive outcomes, such that monitoring for the threat-related distractor may not have been counterproductive from participants' perspective. In Experiment 1 of the current study, we demonstrate that the attentional bias to the threat-related distractor persists (and indeed, becomes stronger) when participants are made explicitly aware that looking at this stimulus is the sole cause of aversive events, which are otherwise avoidable. In Experiment 2 we replicate the bias in informed participants under conditions in which there is additional (reward-driven) motivation to avoid attending to distractors. Taken together with prior findings, the observation of an attentional bias toward the threat-related distractor under these explicitly counterproductive conditions provides strong support for the idea that threat-related stimuli are automatically prioritized by our attentional system. (PsycInfo Database Record (c) 2022 APA, all rights reserved).