Search

Cue-induced reward-seeking behaviors are regulated by both the affective and cognitive control systems of the brain. This study aimed at investigating how individual differences in affective and cognitive responses to cues predicting food rewards contribute to the regulation of cue-induced eating. We recorded electroencephalogram (EEG) from 59 adults while they viewed emotional and food-related images that preceded the delivery of food rewards (candies) or non-food objects (beads). We measured the amplitude of the late positive potential (LPP) in response to a variety of motivationally relevant images and power in the theta (4-8 Hz) frequency band after candies or beads were dispensed to the participants. We found that individuals with larger LPP responses to food images than to pleasant images (C>P group) ate significantly more during the experiment than those with the opposite response pattern (P>C group, p < 0.001). Furthermore, we found that individuals with higher theta power after dispensation of the candy than of the bead (qCA>qBE) ate significantly more than those with the opposite response pattern (qBE>qCA, p < 0.001). Finally, we found that the crossed P>C and qBE>qCA group ate less (p < 0.001) than did the other three groups formed by crossing the LPP and theta group assignments, who exhibited similar eating behavior on average (p = 0.662). These findings demonstrate that individual differences in both affective and cognitive responses to reward-related cues underlie vulnerability to cue-induced behaviors, underscoring the need for individualized treatments to mitigate maladaptive behaviors.

Neurobiological models of addiction attribute vulnerability to compulsive drug use to dysregulated activity within the neural networks that underlie reward and executive functions. Empirical evidence suggests that (a) attributing high motivational salience to drug-related stimuli leads to compulsive drug seeking and (b) cognitive control deficits lead to compulsive drug taking. Noninvasive neuroimaging techniques enable brain activity monitoring during affective and cognitive processing and could pave the way to precision medicine for substance use disorders. Identifying robust neuromarkers of affective and cognitive dysregulation would allow clinicians to personalize treatments by targeting individual psychophysiological vulnerabilities. However, methodological choices have biased the field toward experimental paradigms that cannot optimally assess individual differences in the motivational salience of drug-related cues and in the ability to control drug-related decisions, hindering the identification of clinically relevant neuromarkers. Here we show that (a) accounting for neuroaffective reactivity to non-drug-related motivationally relevant stimuli when measuring the attribution of motivational salience to drug-related cues, and (b) assessing brain activity while participants make drug-related decisions with immediate consequences, yield replicable neuromarkers with potential clinical relevance. While we use tobacco use disorder as a model, we also show that the methodological issues highlighted here are relevant to other disorders characterized by maladaptive appetitive behaviors.

Background: Aberrant anticipation of motivational salient events and processing of outcome evaluation in striatal and prefrontal regions have been suggested to underlie psychosis. Altered glutamate levels have likewise been linked to schizophrenia. Glutamatergic abnormalities may affect the processing of motivational salience and outcome evaluation. It remains unresolved, whether glutamatergic dysfunction is associated with the coding of motivational salience and outcome evaluation in antipsychotic-naïve patients with first-episode psychosis. Methods: Fifty-one antipsychotic-naïve patients with first-episode psychosis (22 ± 5.2 years, female/male: 31/20) and 52 healthy controls (HC) matched on age, sex, and parental education underwent functional magnetic resonance imaging and magnetic resonance spectroscopy (3T) in one session. Brain responses to motivational salience and negative outcome evaluation (NOE) were examined using a monetary incentive delay task. Glutamate levels were estimated in the left thalamus and anterior cingulate cortex using LCModel. Results: Patients displayed a positive signal change to NOE in the caudate (p = 0.001) and dorsolateral prefrontal cortex (DLPFC; p = 0.003) compared to HC. No group difference was observed in motivational salience or in levels of glutamate. There was a different association between NOE signal in the caudate and DLPFC and thalamic glutamate levels in patients and HC due to a negative correlation in patients (caudate: p = 0.004, DLPFC: p = 0.005) that was not seen in HC. Conclusions: Our findings confirm prior findings of abnormal outcome evaluation as a part of the pathophysiology of schizophrenia. The results also suggest a possible link between thalamic glutamate and NOE signaling in patients with first-episode psychosis. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) is receiving widespread attention as a delivery tool for exposure therapies. The advantage offered by VR over traditional technology is a greater sense of presence and immersion, which magnifies user effects and enhances the effectiveness of exposure-based interventions. The current study systematically examined the basic factors involved in generating presence in VR as compared to standard technology, namely (1) system-driven factors that are exclusive to VR devices while controlling general factors such as field of view and image quality; (2) media-driven factors of the virtual environment eliciting motivational salience through different levels of arousal and valence (relaxing, exciting and fear evoking stimuli); and (3) the effects of presence on magnifying affective response. Participants (N = 14) watched 3 different emotionally salient videos (1 × fear evoking, 1 × relaxing and 1 × exciting) in both viewing modes (VR and Projector). Subjective scores of user experience were collected as well as objective EEG markers of presence (frontal alpha power, theta/beta ratio). Subjective and objective presence was significantly greater in the VR condition. There was no difference in subjective or objective presence for stimulus type, suggesting presence is not moderated by arousal, but may be reliant on activation of motivational systems. Finally, presence did not magnify feelings of relaxation or excitement, but did significantly magnify users' experience of fear when viewing fear evoking stimuli. This is in line with previous literature showing strong links between presence and generation of fear, which is vital in the efficacy of exposure therapies. [ABSTRACT FROM AUTHOR]

Simple Summary: This article proposes a new model for exploring happiness primarily from a neurobiological perspective. Such understanding includes the dynamics of positive mood states and how they change throughout life. Happiness is not a cognitive construct: it is an immediate emotional experience—a feeling that relies on neurophysiological activation in the brain's reward system. With this in mind, three types of happiness are proposed: (A) wanting, approaching, and pleasure, (B) avoiding, departing, and relief, (C) non-wanting, staying, and satisfaction. Behind this is a sophisticated (neuro)biological dynamic, ranging from the search for autonomy and ecstasy, which is particularly characteristic of young people, to the way we cope with stress, as we find it pronounced in the middle-aged, to deep contentment, peace, and inner joy, as it is mainly attributed to older people. Paradoxically, it is in fact the elderly who appear to be the happiest and most content—this phenomenon is also known as the "satisfaction paradox". Apparently, these dynamic changes in happiness can be amplified with practice. Happiness is biological in this context, but can still be "learned". Contemplative practices can serve as an example here to demonstrate this trainability, and they may themselves influence the course of happiness. Background: Happiness is a feeling, an immediate experience, not a cognitive construct. It is based on activity in the brain's neurobiological reward and motivation systems, which have been retained in evolution. This conceptual review provides an overview of the basic neurobiological principles behind happiness phenomena and proposes a framework for further classification. Results: Three neurobiologically distinct types of happiness exist: (A) wanting, (B) avoiding, and (C) non-wanting. Behind these types lies a dynamic gradation, ranging from the more youthful anticipation, pleasure and ecstasy (A), to stress processing, escape and relief (B) as we find them accentuated in the middle-aged, to deep satisfaction, quiescence and inner joy (C), which is particularly attributed to older people. As a result, the development of happiness and satisfaction over the course of life typically takes the form of a U-curve. Discussion: The outlined triad and dynamic of happiness leads to the paradoxical finding that the elderly seem to be the happiest—a phenomenon that is termed "satisfaction paradox". This assumed change in happiness and contentment over the life span, which includes an increasing "emancipation" from the idea of good health as a mandatory prerequisite for happiness and contentment, can itself be changed—it is trainable. Conclusions: Programs for mindfulness, contemplation, or stress reduction, including positive psychology and mind–body/behavioral medicine training, seem to be capable of influencing the course happiness over time: Happiness can be shaped through practice. [ABSTRACT FROM AUTHOR]

We tested whether neuroaffective responses to motivationally salient stimuli are associated with vulnerability to cue-induced e-cigarette use in e-cigarette naïve adults who smoke daily. We hypothesized that individuals with stronger neuroaffective responses to nicotine-related cues than to pleasant stimuli (the C>P reactivity profile) would be more vulnerable to cue-induced nicotine self-administration than individuals with stronger neuroaffective responses to pleasant stimuli than to nicotine-related cues (the P>C reactivity profile). We used event-related potentials (ERPs, a direct measure of cortical activity) to measure neuroaffective reactivity to pleasant, unpleasant, neutral, and nicotine-related cues indicating the opportunity to use an e-cigarette in 36 participants. For each picture category, we computed the amplitude of the late positive potential (LPP), a robust index of motivational salience. To identify each individual's neuroaffective reactivity profile we applied k -means cluster analysis on the LPP responses. We compared the e-cigarette use frequency across profiles using quantile regression for counts. K-means cluster analysis assigned 18 participants to the C>P profile and 18 participants to the P>C profile. Individuals with the C>P neuroaffective profile used the e-cigarette significantly more often than those with the P>C profile. Significant differences in the number of puffs persisted across different quantiles. These results support the hypothesis that individual differences in the tendency to attribute motivational salience to drug-related cues underlie vulnerability to cue-induced drug self-administration. Targeting the neuroaffective profiles that we identified with tailored treatments could improve clinical outcomes. • We used ERPs to measure neuroaffective reactivity to emotional and drug-related cues. • Drug-related cues signaled the opportunity to puff from an e-cigarette. • We identified neuroaffective reactivity profiles associated with e-cigarette use. • Smokers reacting more to drug-related than pleasant cues vaped more. • Targeting this neuroaffective biomarker could foster personalized treatments. [ABSTRACT FROM AUTHOR]

Damage to regions underpinning attention can result in hemi-spatial neglect, characterised by inattention to stimuli presented in contralesional space. Motivationally salient stimuli (e.g. reward/threat) are, however, resilient to neglect and more likely to be detected compared to neutral stimuli. Prominent theories of attention suggest that the motivational detection advantage in neglect is underpinned by a goal-independent 'emotional attention' system. However, measures of stimulus awareness previously used often present the stimuli as part of the goal-relevant target set. Previous findings may therefore be more consistent with top-down attentional selection, which is preserved in some cases of neglect. Using multilevel and Bayesian meta-analytic approaches to individual case and group data, the evidence for a motivational detection advantage in neglect, and conditions when it emerges, were examined and conceptual claims reviewed. Cumulative evidence suggested that in perceptually simple conditions, when a single stimulus appeared, there was no evidence of a motivational detection advantage (Individual: k = 36; log OR = .02, 95%CI [-.44,.47]; Group: k = 2, d z  = .24, 95%CI [-.26, .74]). Conversely, under more perceptually demanding conditions, with multiple goal-relevant stimuli, motivationally salient stimuli were detected more than neutral stimuli in the contralesion side of space (Individual: k = 37, log OR = 1.04, 95%CI [.74, 1.34]; Group: k = 7, d z  = .81, 95%CI [.27, 1.35]). Across investigations the detection advantage occurred when the motivationally salient stimulus was a target, and under perceptually demanding conditions when goal-irrelevant motivationally salient stimuli are usually suppressed. The current evidence therefore does not strongly support a goal-independent mechanism, and a top-down account remains plausible. This account can be contextualised within existing models of neglect, whereby perceptual load induces suppression of contralesional space when ipsilesional space is prioritised. Target stimuli may, however, still be detected under reduced perceptual capacity due to their goal-relevance, which may be selectively enhanced by motivational salience., (Crown Copyright © 2022. Published by Elsevier Ltd. All rights reserved.)